Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis

Journals

1. Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1 View
2. Park E, Chang H, Nam H. Use of Machine Leaning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients. Journal of Medical Internet Research 2017;19(4):e120 View
3. Feng X, Zhang H, Ren Y, Shang P, Zhu Y, Liang Y, Guan R, Xu D. The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study. Journal of Medical Internet Research 2019;21(5):e12957 View
4. Bai J, Jhaney I, Wells J. Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study. JMIR Medical Informatics 2019;7(4):e14667 View
5. Jeon E, Oh K, Kwon S, Son H, Yun Y, Jung E, Kim M. A Lightweight Deep Learning Model for Fast Electrocardiographic Beats Classification With a Wearable Cardiac Monitor: Development and Validation Study. JMIR Medical Informatics 2020;8(3):e17037 View
6. Shen X, Wang G, Kwan R, Choi K. Using Dual Neural Network Architecture to Detect the Risk of Dementia With Community Health Data: Algorithm Development and Validation Study. JMIR Medical Informatics 2020;8(8):e19870 View
7. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
8. Menachemi N, Rahurkar S, Rahurkar M. Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting. JMIR Public Health and Surveillance 2017;3(1):e12 View
9. Pian W, Khoo C, Chi J. Automatic Classification of Users’ Health Information Need Context: Logistic Regression Analysis of Mouse-Click and Eye-Tracker Data. Journal of Medical Internet Research 2017;19(12):e424 View
10. Dargél A, Mosconi E, Masson M, Plaze M, Taieb F, Von Platen C, Buivan T, Pouleriguen G, Sanchez M, Fournier S, Lledo P, Henry C. Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study. JMIR Research Protocols 2020;9(8):e18818 View
11. Wang X, Chen S, Li T, Li W, Zhou Y, Zheng J, Chen Q, Yan J, Tang B. Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis. JMIR Medical Informatics 2020;8(7):e17958 View
12. Guntuku S, Schwartz H, Kashyap A, Gaulton J, Stokes D, Asch D, Ungar L, Merchant R. Variability in Language used on Social Media prior to Hospital Visits. Scientific Reports 2020;10(1) View
13. Dallora A, Berglund J, Brogren M, Kvist O, Diaz Ruiz S, Dübbel A, Anderberg P. Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach. JMIR Medical Informatics 2019;7(4):e16291 View
14. Zeng K, Pan Z, Xu Y, Qu Y. An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation. JMIR Medical Informatics 2020;8(7):e17832 View
15. Cao Y, Montgomery S, Ottosson J, Näslund E, Stenberg E. Deep Learning Neural Networks to Predict Serious Complications After Bariatric Surgery: Analysis of Scandinavian Obesity Surgery Registry Data. JMIR Medical Informatics 2020;8(5):e15992 View
16. Rivera Zavala R, Martinez P. The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study. JMIR Medical Informatics 2020;8(12):e18953 View
17. Poly T, Islam M, Muhtar M, Yang H, Nguyen P, Li Y. Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation. JMIR Medical Informatics 2020;8(11):e19489 View
18. Kim J, Lee W, Kim J, Seo J, Im C. Light-Induced Fluorescence-Based Device and Hybrid Mobile App for Oral Hygiene Management at Home: Development and Usability Study. JMIR mHealth and uHealth 2020;8(10):e17881 View
19. Yao H, Rashidian S, Dong X, Duanmu H, Rosenthal R, Wang F. Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach. Journal of Medical Internet Research 2020;22(11):e15293 View
20. Fang C, Pan Y, Zhao L, Niu Z, Guo Q, Zhao B. A Machine Learning-Based Approach to Predict Prognosis and Length of Hospital Stay in Adults and Children With Traumatic Brain Injury: Retrospective Cohort Study. Journal of Medical Internet Research 2022;24(12):e41819 View
21. Wang X, Zhong J, Lei T, Chen D, Wang H, Zhu L, Chu S, Liu L. An Artificial Neural Network Prediction Model for Posttraumatic Epilepsy: Retrospective Cohort Study. Journal of Medical Internet Research 2021;23(8):e25090 View
22. Hu T, Chow J, Chien T, Chou W. Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study. Medicine 2023;102(13):e33296 View
23. Bo Y, Liu Q, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681 View
24. Bachl M, Link E, Mangold F, Stier S. Search Engine Use for Health-Related Purposes: Behavioral Data on Online Health Information-Seeking in Germany. Health Communication 2024;39(8):1651 View
25. Chen K, Luo L, Tan Y, Chen G. Medical diagnosis based on artificial intelligence and decision support system in the management of health development. Journal of Evaluation in Clinical Practice 2024 View

Books/Policy Documents

1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View
2. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View
3. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View