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Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

D et al (2019) [27]11-13 weeks11++–++–Tan MY et al (2018) [25]11-13 weeks11++––+–Sonek J et al (2018) [24]11-13 weeks10–+––++Perales A et al (2017) [23]27-28 weeks3+––++–Nuriyeva G et al (2017) [22]11-13 weeksN/Ah–+––++O'Gorman N et al (2017) [21]11-13 weeks11

Herdiantri Sufriyana, Yu-Wei Wu, Emily Chia-Yu Su

JMIR Med Inform 2020;8(5):e15411

“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets

“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets

The eDrugTrends platform is a real-time data collection system that initiated cannabis- and synthetic cannabinoid–related Twitter data collection in November 2014.The Wright State University institutional review board reviewed the protocol and determined that

Raminta Daniulaityte, Lu Chen, Francois R Lamy, Robert G Carlson, Krishnaprasad Thirunarayan, Amit Sheth

JMIR Public Health Surveill 2016;2(2):e162

Definition of Health 2.0 and Medicine 2.0: A Systematic Review

Definition of Health 2.0 and Medicine 2.0: A Systematic Review

Medicine 2.0 is about getting closer to colleagues and patients.Conn J [15] (Scientific)2007The health care derivate of the far more ubiquitous "Web 2.0."

Tom H Van De Belt, Lucien JLPG Engelen, Sivera AA Berben, Lisette Schoonhoven

J Med Internet Res 2010;12(2):e18

Development of an Artificial Intelligence–Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

Development of an Artificial Intelligence–Based Automated Recommendation System for Clinical Laboratory Tests: Retrospective Analysis of the National Health Insurance Database

Gradient descent is the most widely used optimization algorithm that helps us understand whether the function is decreasing or increasing at a particular point (Figure 3).Figure 3The process of gradient descent.The cost function C is the initial value and the

Md Mohaimenul Islam, Hsuan-Chia Yang, Tahmina Nasrin Poly, Yu-Chuan Jack Li

JMIR Med Inform 2020;8(11):e24163

Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

For supervised machine learning, the main output was to identify the model with the best survival prediction performance via comparison of the concordance statistic (c-statistic).

Yu-Jiun Lin, Ray-Jade Chen, Jui-Hsiang Tang, Cheng-Sheng Yu, Jenny L Wu, Li-Chuan Chen, Shy-Shin Chang

JMIR Med Inform 2020;8(10):e24305