Search Articles

Challenges of Clustering Multimodal Clinical Data: Review of Applications in Asthma Subtyping

Elsie Horne, Holly Tibble, Aziz Sheikh, Athanasios Tsanas

JMIR Med Inform 2020;8(5):e16452

Download Citation: END BibTex RIS

Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation

Investigating the best features and machine learning methods for each HAR application requires an individual or team appropriately skilled in signal processing and machine learning and a large amount of time.

Jose Juan Dominguez Veiga, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Tomas E Ward

JMIR Mhealth Uhealth 2017;5(8):e115

Download Citation: END BibTex RIS

Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

In our previous work [12], we introduced the neuro QWERTY method, a machine learning algorithm trained to quantify PD severity through the analysis of the typing patterns found in the time series of HT.

Teresa Arroyo-Gallego, María J Ledesma-Carbayo, Ian Butterworth, Michele Matarazzo, Paloma Montero-Escribano, Verónica Puertas-Martín, Martha L Gray, Luca Giancardo, Álvaro Sánchez-Ferro

J Med Internet Res 2018;20(3):e89

Download Citation: END BibTex RIS

Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study

Dev Goyal, John Guttag, Zeeshan Syed, Rudra Mehta, Zahoor Elahi, Mohammed Saeed

J Med Internet Res 2020;22(12):e22765

Download Citation: END BibTex RIS

Predicting Posttraumatic Stress Disorder Risk: A Machine Learning Approach

Safwan Wshah, Christian Skalka, Matthew Price

JMIR Ment Health 2019;6(7):e13946

Download Citation: END BibTex RIS

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Hence, recognizing the need for innovative solutions leveraging advances in infoveillance, big data, machine learning, and Web forensic analysis, our team developed a method to detect marketing and sale of controlled substances via Twitter by online sellers

Tim Mackey, Janani Kalyanam, Josh Klugman, Ella Kuzmenko, Rashmi Gupta

J Med Internet Res 2018;20(4):e10029

Download Citation: END BibTex RIS

Patients’ Convergence of Mass and Interpersonal Communication on an Online Forum: Hybrid Methods Analysis

Remco Sanders, Theo B Araujo, Rens Vliegenthart, Mies C van Eenbergen, Julia CM van Weert, Annemiek J Linn

J Med Internet Res 2020;22(10):e18303

Download Citation: END BibTex RIS

Accurate Measurement of Handwash Quality Using Sensor Armbands: Instrument Validation Study

Chaofan Wang, Zhanna Sarsenbayeva, Xiuge Chen, Tilman Dingler, Jorge Goncalves, Vassilis Kostakos

JMIR Mhealth Uhealth 2020;8(3):e17001

Download Citation: END BibTex RIS

Machine Learning Prediction of Foodborne Disease Pathogens: Algorithm Development and Validation Study

Hanxue Wang, Wenjuan Cui, Yunchang Guo, Yi Du, Yuanchun Zhou

JMIR Med Inform 2021;9(1):e24924

Download Citation: END BibTex RIS

Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach

Vincent Bremer, Philip I Chow, Burkhardt Funk, Frances P Thorndike, Lee M Ritterband

J Med Internet Res 2020;22(10):e17738

Download Citation: END BibTex RIS