Using Artificial Intelligence to Detect Cancer

Cancer has long been a major issue across all of society. A lot of work has been done to help stop them, but the medical industry still a long way off …

Artificial Intelligence to detect cancer

Artificial Intelligence to detect cancerArtificial Intelligence to detect cancerArtificial Intelligence to detect cancer

Cancer has long been a major issue across all of society. A lot of work has been done to help stop them, but the medical industry still a long way off perfect. Based on cancer statistics in the United States, 38.4% of men and women will get cancer at some point in their life. Detecting this cancer early is the best way to ensure proper treatment can be given.

Using Artificial intelligence to detect cancer and other major illnesses has been gradually improving over time. Scientists have already had success with AI detecting cancer in patients. Further, AI has been used to analyse brain scans and detect brain tumours among other neurological disorders.

Cancer Detection:

With the apparent rise in cancer cases around in the US alone, there is a need for technology to help detect these cancers early, and before they do any real damage. Thankfully, with the advancement of technology and medicine over the last 50 years, there has already been much improvement in this field. However, there were still a large number of cases that went undetected too long.

To help improve the detection rate of cancers, scientists began using Artificial Intelligence to analyse scans and other patient data. One study in 2015 showed that using Artificial Intelligence to cancer resulted in a 96.3 percent accuracy. The test was conducted in turkey using new patients data from the east side of the country.

Using artificial intelligence to detect cancer will only get better over time. With each new case, the AI is able to further train itself and get better. AI’s use in the medical industry will almost certainly be irreplaceable in the coming years.

Tumour Detection:

China recently conducted tests in which an artificial intelligence was able to achieve a better detection rate of brain tumours than some of their top doctors. The AI had an 80 percent detection rate, a huge improvement compared to the 63 percent higher than human doctors achieved. This wasn’t due to a lack of effort. It was reported that the doctors achieved a higher than average detection rate. This just goes to show how powerful this AI can be.

The AI was given tens of thousands of images to learn from and is able to detect a number of brain diseases. This includes meningioma and glioma and is able to do so with over a 90% detection rate.

Conclusion:

With AI being tested in many fields of medicine, there is much hope that the death rate from deadly illnesses such as cancer will be drastically reduced. There have been some great results in AI’s ability to detect this illness, often beating real doctors.

Like this:

LikeLoading…

Related Posts:

  • No Related Posts

Opportunity of Artificial Intelligence (AI) in Social Media Market 2018-2172

Artificial Intelligence (AI) in Social Media market segmented on the basis of suppliers, consumers, drivers, opportunities market challenges, indicators, …

Artificial Intelligence (AI) in Social Media

Artificial Intelligence (AI) in Social Media market segmented on the basis of suppliers, consumers, drivers, opportunities market challenges, indicators, market risks/restraints, influences. The Artificial Intelligence (AI) in Social Media market mainly focuses on the terms like company, product type, end-user and key regions.

Artificial Intelligence (AI) in Social Media market include the market status, competition landscape, market share, growth rate, future trends, sales channels and distributors. The report includes information like market share, price, growth rate, consumption, capacity, production, import, export, Industry chain, manufacturing process, cost structure, marketing channel are also analyzed by this Artificial Intelligence (AI) in Social Media market industry.

Ask for Sample PDF at http://industryresearch.co/enquiry/request-sample/13104271

The Artificial Intelligence (AI) in Social Media market is anticipated to develop CAGR of 28.69% during the forecast period 2018-2023.

Artificial Intelligence (AI) in Social Media Market’s Top Regions Covers in this Report:

US, Canada, France, Germany, Spain, UK, India, Japan, China, South Korea.

The Artificial Intelligence (AI) in Social Media market report grasps each and every aspect of the international market for this specific domain, ranging from the crucial market data to many important criteria, based on which, the Artificial Intelligence (AI) in Social Media market is standardized. The main functioning domains of the Artificial Intelligence (AI) in Social Media market are also covered based on their presentation. The Artificial Intelligence (AI) in Social Media market report covers research of current policies, regulations, and market chain. Considering other factors like goods, their chain of production, main manufacturers, and supply & demand, price format for business is also organized in this Artificial Intelligence (AI) in Social Media report.

Artificial Intelligence (AI) in Social Media market manufacturers are covered in this report, with sales, market share, revenue for each company:

Google LLC, Microsoft Corporation, Facebook Inc., Amazon Web Services Inc., IBM Corporation, Adobe Systems Incorporated, Salesforce.com Inc., Baidu Inc., Snap Inc., Clarabridge Inc., HootSuite Media Inc., Meltwater News US Inc., Crimson Hexagon Inc., Sprout Social Inc., And many more…

Artificial Intelligence (AI) in Social Media Market Dynamics

  • Drivers

  • Restraints

  • Opportunities

    The Artificial Intelligence (AI) in Social Media Details of Report at http://industryresearch.co/13104271

    Key Developments in the Artificial Intelligence (AI) in Social Media Market: in Artificial Intelligence in Social Media Market

  • March 2018: NetBase, a global leader in enterprise social analytics, announced its next-generation AI image analysis capabilities. The NetBase next-generation AI analyzes visual posts, to identify brand logos and keywords and offer the most comprehensive view, of a brand’s performance. The platform also accurately classifies the images by facial emotions, common scenery, and everyday objects, to provide an in-depth insight of the market.

    Artificial Intelligence in Social Media Market

    Key Benefits:

    • The Artificial Intelligence (AI) in Social Media report will help to develop Business Strategies by understanding the trends shaping and driving Artificial Intelligence (AI) in Social Media market
    • To establish sales and marketing efforts by identifying the best opportunities for Artificial Intelligence (AI) in Social Media market
    • To recognize the future market competition in the Artificial Intelligence (AI) in Social Media market.

    Report Highlights:

    • Market Dynamics – Drivers and Restraints
    • Market Trends
    • SWOT Analysis and Porter’s Five Forces Analysis
    • Company Analysis.

    Price of Report: $ 4250 (Single User License)

    Purchase Artificial Intelligence (AI) in Social Media Market Report @ http://industryresearch.co/purchase/13104271

  • Related Posts:

    • No Related Posts

    Why Banks Should Inject Bigger Cash Into Digital Transformation – Akano

    Why Banks Should Inject Bigger Cash Into Digital Transformation – Akano … Analytics and Competitive Strategies; and Data Science & Big Data.

    Mr. Tim Akano, founder/CEO New Horizons Nigeria, in this interview with CHIMA AKWAJA, looks at the technology space, how and where it will impact the broad-spectrum of the Nigerian economy.

    What do you see as the intersection between technology and the future of job? Are we all going to become jobless at the rate at which robot and AI are replacing workers?

    Yes and No. A friend of mine put it poetically in an article recently in the newspaper “how technology stole our breakfast and is about to eat our lunch.” But I disagree with his conclusion. Technology did not steal anybody’s breakfast rather technology changed our breakfast menu and gave us a new breakfast menu and technology has equally announced that a new lunch and dinner menu list is on the horizons.

    It is by putting issues in the right perspective that we can take full benefits of what is and what is to come. My answer in this sector is relevant to anyone from the ages 10 to 69 and business organisations as well. The latest LinkedIn research on skill and employment shows that there are 50,000 professional skills in the world today. But most of these skills will be obsolete in a matter of three to five years. Most of the traditional skills will decline in value. Banking/Finance, architecture, accountant, etc will decline because of technology.

    The 10 hottest skills that will grow in demand in 2019 and beyond are: Creativity, Innovation and Analytical Reasoning; Persuasion, Collaboration, and Adaptability; Cloud Computing; Artificial Intelligence, Internet of Things and Cyber Security; People and Time Management; Mobile Application Development; Sales Leadership, Customer Service, Digital and Social Media Marketing; Animation, Video, Audio, and Game development; Business Analytics and Competitive Strategies; and Data Science & Big Data.

    The demand of these 10 skill-sets by the industry will grow geometrically because we have shortages and businesses are developing along these lines exponentially. If you have children or cousin or brothers or sisters and you don’t want them to be hungry in the new tech kingdom- these are the skills that will be in the greatest demand.

    Dr Robot will be a better surgeon than human doctors in few years’ time. AI will be a better pilot than human pilot, AI will replace drivers and cars will be electric without engine. AI will do some Accounting, Architectural, Journalism, Military, Teaching and Engineering jobs.

    Everything we are doing will converge on mobility- our phone will become part of us in a new form. It will be engrained in our flesh- this will drive the demands for experts in mobility and Internet of Things.

    Then when robot produces in the factory- Peter James and John have to sell to Steve and, Florence. A Buhari or an Atiku will always need the services of digital marketing professionals to sell their candidacy to the electorates: so selling skill, customer service, digital and social medial skills will be in hot demand.

    What do you say about Fintech in 2019?

    Obviously, banking and financial industry are the biggest consumers of technology. Therefore, using past years as a guide, Fintech will continue to dictate the speed of innovation in technology. The top 10 variables for the financial industry in 2019 and beyond are that: Digital-only bank will grow faster than the legacy brick and wall, High street banks.

    Secondly, there is bound to be bigger cash injection by banks into digital transformation in order to reduce overhead cost ultimately.

    Thirdly, massive deployment of Artificial Intelligence in customer profiling for credit transaction will happen in 2019 in the banking industry. Due to the stringent and thick regulatory requirement and compliance for the financial sector, more banks will make use of AI technologies for compliance purposes.

    2019 is the year of surgically implanted Near Field Communication (NFC) devices.

    This year, Blockchain and crypto currencies diversification will be massive consequent upon the rise and fall of Bitcoin- we have not seen the end of crypto.

    The seventh variable is that Quantum Computing will become mainstream because of Big Data and Internet of Things; while General Data Protection Regulation (GDPR) and digital marketing for banks will drive the Opt-In data mining sales model as a way to reach customers.

    Also, online payment using decentralised apps will grow because of their relative security vis-à-vis the legacy payment model. The last variable is on Cyber security. When Marriott Hotel lost 500 million vital data to cyber thieves towards the end of 2018 that was a passing shot to all the financial institutions that cyber security will become their centre of gravity in 2019 and beyond.

    What have you got to say on telecommunications industry in 2019 and beyond?

    My top 10 game-changing variables for telecoms is that 2019 is the 5G year. The massive deployment in advanced countries of extra supper fast internet is this year. Towards the end of 2018 a few smart nations tested the 5G technology and the outcome was awesome.

    On cybersecurity, 43 per cent of telecoms was attacked in 2018 and it took an average of three months to detect. There will be IoT explosion. We are going to witness connection of devices running into billions or even trillions which will require gargantuan data consumption. Once Africa telcos get to 70 per cent penetration they will need to search for growth elsewhere such as content provision because of saturation.

    There will be Over- The- Top (OTT) services fuelled by video streaming and high demand for non-linear media consumption which will grow exponentially in 2019. Also, cross industry alliance between telecoms and broadcasting companies: Telecoms would begin to acquire companies that are producing entertaining content, for example, popular TV shows, and live sports games among others as a new growth path.

    Telecoms with a view to differentiating their products and services will begin to use Augmented Reality (AR) and Virtual Reality (VR) on smartphones to empower digital visualizations on real images and enhances customer experience. Regulations for Telecoms: GDPR, e-privacy regulations among others will drain some cash from the pocket of Telecoms in 2019. Machine Learning and AI will help in automating and bettering many back-office operations and sundry customer experiences including customer predictive maintenance services. Finally, safe and affordable In-flight Connectivity System (IFCS) will be a game-changer in 2019.

    What trends do you see merging in the education sector in 2019?

    Technology has entered into classrooms and it will revolutionise the way we teach and learn. For me, AI in education will impact speech recognition, problem-solving, and planning. AI will also drives automation of administrative tasks like students’ grading, creation of smart content in the curriculum, and customisation of the teaching process.

    Medical students can now watch live simulated surgeries using VR technology. Bringing education video games into classrooms will make learning more fun and engaging while Learning Analytics will enhance better monitoring of student behaviour and absorption level by utilizing effectively the existing data.

    The need to make education cheap and accessible will continue to drive the demand for Open Education at the Higher Education level. On the other hand, IoT learning will enhance personalisation, drive better engagement and skill acquisition. Also, because the society is in transition to a technology kingdom the need for Science, Technology, Engineering, Arts and Mathematics (STEAM) education will increase in 2019.

    Everything is going green from electric cars to green classroom. Education is no more going to be on the basis of one-cap-fits all. Game theory will allow instructors to choose the most appropriate method for student leaning in a giving situation. Finally, Brick and Mortal Education will witness slow growth compared with online /Anytime/Live education. Besides, the awareness to downplay paper qualification in favour of skilled-based education will increase.

    How does all these add up to and where does it put you?

    You will recall that we are the first company in Nigeria to introduce ICT certification- based training into the Nigeria education curriculum 13 years ago. As at today we produce about 50,000 students yearly under our certification programme. Our determination to add value to Nigerians has always been our driving force.

    This is why we are the first company in IT training industry in 2018 to launch a Comprehensive Robotics Education in High Schools which includes curriculum on 3D printing technology, AI, IOT, Big Data, Cybersecurity and Graphics design, among others. This will help our children to acquire 2019 ICT skills that will make them to be competitive globally.

    I can confidently tell you that the schools we partner in Nigeria receive the best of ICT education like their counterparts in Europe and America. For the rest of us, we definitely cannot beat technology or slow it down- our best option is to join technology and provides the skills it wants. This is the only way for prosperity in the new tech kingdom.

    Global Artificial Intelligence-Emotion Recognition Market : Industry Analysis, Size, Share, Growth …

    The authors of the report profile leading companies of the Global Artificial Intelligence-Emotion Recognition Market, such as Microsoft, Softbank, …

    The authors of the report profile leading companies of the Global Artificial Intelligence-Emotion Recognition Market, such as Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal, Affectiva, Kairos AR, Cloudwalk, IFlytek, Nviso, CrowdEmotion. They provide details about important activities of leading players in the competitive landscape.

    This press release was orginally distributed by SBWire

    Los Angeles, CA — (SBWIRE) — 01/19/2019 — The Global Artificial Intelligence-Emotion Recognition Market is broadly analyzed in this report that sheds light on critical aspects such as the vendor landscape, competitive strategies, market dynamics, and regional analysis. The report helps readers to clearly understand the current and future status of the Global Artificial Intelligence-Emotion Recognition Market. The research study comes out as a compilation of useful guidelines for players to secure a position of strength in the Global Artificial Intelligence-Emotion Recognition Market.

    The authors of the report profile leading companies of the Global Artificial Intelligence-Emotion Recognition Market, such as Microsoft, Softbank, Realeyes, INTRAface, Apple, IBM, Eyeris, Beyond Verbal, Affectiva, Kairos AR, Cloudwalk, IFlytek, Nviso, CrowdEmotion. They provide details about important activities of leading players in the competitive landscape.

    This report predicts the size of the Global Artificial Intelligence-Emotion Recognition Market in terms of value and volume for the forecast period 2018-2025. As per the analysis provided in the report, the Global Artificial Intelligence-Emotion Recognition Market is expected to rise at a CAGR of between 2018 and 2025 to reach a valuation of US$ million/billion by the end of 2025. In 2017, the Global Artificial Intelligence-Emotion Recognition Market attained a valuation of US$ million/billion. The market researchers deeply analyze the global Artificial Intelligence-Emotion Recognition industry landscape and the future prospects it is anticipated to create.

    This publication includes key segmentations of the Global Artificial Intelligence-Emotion Recognition Market on the basis of product, application, and geography (country/region). Each segment included in the report is studied in relation to different factors such as consumption, market share, value, growth rate, and production.

    Download Free Sample Report at: https://www.qyresearch.com/sample-form/form/926139/global-artificial-intelligence-emotion-recognition-market

    The comparative results provided in the report allow readers to understand the difference between players and how they are competing against each other. The research study gives a detailed view of current and future trends and opportunities of the Global Artificial Intelligence-Emotion Recognition Market. Market dynamics such as drivers and restraints are explained in the most detailed and easiest manner possible with the use of tables and graphs. Interested parties are expected to find important recommendations to improve their business in the Global Artificial Intelligence-Emotion Recognition Market.

    Readers can understand the overall profit margin and sales volume of various products studied in the report. The report also provides the forecasted as well as historical annual growth rate and market share of the products offered in the Global Artificial Intelligence-Emotion Recognition Market. The study on the end-use application of products helps to understand the market growth of the products in terms of sales.

    Global Artificial Intelligence-Emotion Recognition Market by Product: Facial Emotion Recognition, Speech Emotion Recognition, Others

    Global Artificial Intelligence-Emotion Recognition Market by Application: Education, Medical Care, Wisdom Center, Others

    The report also focuses on the geographical analysis of the Global Artificial Intelligence-Emotion Recognition Market, where important regions and countries are studied in great detail.

    Global Artificial Intelligence-Emotion Recognition Market by Geography: North America, Europe, South America, the Middle East, Africa and Asia Pacific.

    Methodology

    Our analysts have created the report with the use of advanced primary and secondary research methodologies.

    As part of primary research, they have conducted interviews with important industry leaders and focused on market understanding and competitive analysis by reviewing relevant documents, press releases, annual reports, and key products.

    For secondary research, they have taken into account the statistical data from agencies, trade associations, and government websites, internet sources, technical writings, and recent trade information.

    Inquire Here For Discount Or Report Customization : https://www.qyresearch.com/request-discount/form/926139/global-artificial-intelligence-emotion-recognition-market

    The report on the Global Artificial Intelligence-Emotion Recognition Market covers 12 sections as given below:

    – Industry Overview of Artificial Intelligence-Emotion Recognition: This section covers market definition, classifications, specifications, applications, and market segmentation by region.

    – Artificial Intelligence-Emotion Recognition Cost Structure Analysis: Here, raw materials and suppliers, industry chain structure, process analysis, and manufacturing cost structure analysis are covered.

    – Technical Data and Manufacturing Plants Analysis: In this section, the report provides capacity and commercial production date of Artificial Intelligence-Emotion Recognition, manufacturing plants distribution, major manufacturers in 2018, raw material sources and technology sources analysis, and R&D status.

    – Overall Overview of Global Artificial Intelligence-Emotion Recognition Market: It covers 2013-2018 overall market analysis, sales price analysis, capacity analysis, and sales analysis.

    – Artificial Intelligence-Emotion Recognition Regional Market Analysis: The report includes a study on North America, China, Europe, Japan, Southeast Asia, and India Artificial Intelligence-Emotion Recognition market analysis.

    – 2013-2018 Global Artificial Intelligence-Emotion Recognition Market Segmentation Analysis by Type: This section covers Artificial Intelligence-Emotion Recognition sales by type, interview price analysis of different types of Artificial Intelligence-Emotion Recognition products, and driving factors analysis of different types of Artificial Intelligence-Emotion Recognition products.

    – 2013-2018 Global Artificial Intelligence-Emotion Recognition Market Segmentation Analysis by Application: It includes Artificial Intelligence-Emotion Recognition consumption by application, different applications of Artificial Intelligence-Emotion Recognition products, and other studies.

    – Major Manufacturers Analysis of Global Artificial Intelligence-Emotion Recognition Market: It provides analysis on each company profile with product pictures and specifications, sales, ex-factory price, revenue, gross margin analysis, and business distribution by region analysis.

    – Development Trend of Artificial Intelligence-Emotion Recognition Market Analysis: Here, the report covers Artificial Intelligence-Emotion Recognition market trend analysis, market size (volume and value) forecast, regional market trends, and market trends by product type and application.

    – Artificial Intelligence-Emotion Recognition Marketing Type Analysis: It includes marketing type analysis, Artificial Intelligence-Emotion Recognition market supply chain analysis, Artificial Intelligence-Emotion Recognition international trade type analysis, and Artificial Intelligence-Emotion Recognition traders or distributors by region with their contact information.

    – Consumers Analysis of Global Artificial Intelligence-Emotion Recognition Market: This section explains consumer behaviour and provides deep insights into various types of consumers in the Global Artificial Intelligence-Emotion Recognition Market.

    – A conclusion of Global Artificial Intelligence-Emotion Recognition Market Professional Survey Report 2018: It includes information on methodology, analyst introduction, and data sources.

    Read more about the report: https://www.qyresearch.com/index/detail/926139/global-artificial-intelligence-emotion-recognition-market

    About QYResearch

    QYResearch established in 2007, focus on custom research, management consulting, IPO consulting, industry chain research, database and seminar services. The company owned a large basic database (such as National Bureau of statistics database, Customs import and export database, Industry Association Database etc), expert’s resources (included energy automotive chemical medical ICT consumer goods etc.

    Contact us

    QY Research, INC.

    17890 Castleton, Suite 218,

    Los Angeles, CA 91748

    USA: +1 6262 952 442

    India: +91 9766 478 224

    Emails: enquiry@qyresearch.com

    Web: www.qyresearch.com

    For more information on this press release visit: http://www.sbwire.com/press-releases/global-artificial-intelligence/release-1127358.htm

    Related Posts:

    • No Related Posts

    Is it true love? Artificial intelligence finds out the truth about relationships

    In the future, you need to bring only a Smartphone with the Date. There, you start an App and the AI analyzed the Meeting. During the second Drinks …

    In the future, you need to bring only a Smartphone with the Date. There, you start an App and the AI analyzed the Meeting. During the second Drinks part of the Cupid from the Cloud, whether it sparks between the two of you “” and whether the relationship has a future or not.

    Depending on your point of view, this is a frightening or lightening Vision. We are not there yet, but already researchers are working on such programs, the mystery of love and relationship on the track.

    Accurate analysis replaced Intuition

    The idea is always similar. The programs analyze meticulously the behavior – much more accurate and concentrated than a human could. The patterns you identify in the process, reveal more about us than we know ourselves.

    Five simple rules

    A lawyer gives advice: So your relationship “divorce remains safe,”

    At the University of Southern California, one tries to elicit the voice information to be hidden. The voice is a mirror of the soul, the it is believed and it’s – amazingly – is absolutely correct. Our voice reveals our inner motives and emotions – sometimes even more than we know ourselves. Pauses, hems, patterns of accents, all of this and much more is the voice in addition to transported over the actual “Text”.

    +++read also: confession-App Flirting, Cheating, Anger – Why we sometimes hide our wedding ring dear +++

    In happy and, above all, in less happy relationships, the language, the thing that is really treacherous, even if the words say something else. Unfortunately, we are at a loss to decipher this secret Code actually. Even professional therapists can step out onto the ice.

    data beyond the perception of

    Now has developed a Software, the this find buried information from our speech. For a study of the conversations of 134 married couples with problems in their relationship were observed for two years. Then the recordings of therapists and an algorithm were analyzed.

    The program can conversations much more accurately than a human. The Software the smallest Nuance. Even when the data is beyond of the human perception of complex mathematical patterns. The Software is just the beginning: Visual information such as facial Expressions were not evaluated, the content of the talks was not taken into account.

    Good performance in the first Test

    “With the help of many data we can find patterns that are for human eyes and ears can be elusive,” says study leader Shri Narayananvon from the University of Southern California.

    Dating services

    Clowns, horses and food allergies: The most absurd Dating websites

    in this first run, the algorithm was able to say to 79.3 percent correctly predicted whether the couples would stay together or not. The trained and experienced therapists that could be taken into account for their prediction, the facial Expressions, body language and content of the discussions, and achieved an accuracy of 75.6 percent.

    +++ click here to read: 13 men say what they really think: “marriage is for morons” +++

    The self-learning AI will be able to provide in the future more and better results, the more data you can analyze. Another jump would be possible, it should be possible to analyze the facial Expressions of the couples by face recognition. “People are good at it, to decipher a lot of information,” explains Narayanan. “But we can’t process all aspects of the available information.”

    Know when there is a dispute

    nightmare wedding

    13 men to say what they really think: “marriage is for morons”

    Theodora Chaspari, an engineer at the Texas A&M University, has been working for years in a “relationship tracker”. The thing looks like a normal fitness tracker. The Sensor measures sweat and heart rate. To do this, he analysed the votes. Added to this is a simple language identifier that can detect positive or negative words. In the data-conflict situations are detected. The goal is to identify patterns, the impending conflict to announce. Is that supposed to help couples in difficult relationships, to recognize an impending dispute at an early stage, in order to counter them accordingly. Both partners have to wear a Tracker to notice the Sensors if both partners have a stressful day and even with a conflict-ridden mood to come home and to have appropriate warning signs.

    Software knows the most hidden mechanisms

    This type of Sensors have a huge advantage. Unlike a therapist, you will accompany the people seven days a week, 24 hours a day, and not just an hour once a week. You could support couples in their natural life and would not be limited to the special situation of the “therapy room”. The disadvantage lies in the areas of “privacy” and “privacy”. Analyses based on a self-improving AI will need huge amounts of data. In this case, Countless couples would have to leave the programs in their most intimate moments. This behavior will be discovered patterns that make it possible to decode the behavior completely predict.

    abuse is inevitable.

    sources:

    Predicting couple therapy outcomes based on speech acoustic features

    Using Multimodal Wearable Technology to Detect Conflict among Couples

    Related Posts:

    • No Related Posts