Published on in Vol 19, No 12 (2017): December
![Automatic Classification of Users’ Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data Automatic Classification of Users’ Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data](https://asset.jmir.pub/assets/bca06393446cae642bdc26b51eae3f11.png 480w,https://asset.jmir.pub/assets/bca06393446cae642bdc26b51eae3f11.png 960w,https://asset.jmir.pub/assets/bca06393446cae642bdc26b51eae3f11.png 1920w,https://asset.jmir.pub/assets/bca06393446cae642bdc26b51eae3f11.png 2500w)
Journals
- Gwizdka J, Zhang Y, Dillon A. Using the eye-tracking method to study consumer online health information search behaviour. Aslib Journal of Information Management 2019;71(6):739 View
- Lv H, Yang X, Wang B, Wang S, Du X, Tan Q, Hao Z, Liu Y, Yan J, Xia Y. Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study. Journal of Medical Internet Research 2021;23(4):e24996 View
- Klaib A, Alsrehin N, Melhem W, Bashtawi H, Magableh A. Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies. Expert Systems with Applications 2021;166:114037 View