Published on 21.09.16 in Vol 18, No 9 (2016): September
Works citing "Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6240):
(note that this is only a small subset of citations)
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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
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Park E, Chang H, Nam HS. Use of Machine Leaning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients. Journal of Medical Internet Research 2017;19(4):e120
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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
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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
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Jeon E, Oh K, Kwon S, Son H, Yun Y, Jung E, Kim MS. 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
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Shen X, Wang G, Kwan RY, 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
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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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
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Pian W, Khoo CS, 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
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Dargél AA, Mosconi E, Masson M, Plaze M, Taieb F, Von Platen C, Buivan TP, 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
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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
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Guntuku SC, Schwartz HA, Kashyap A, Gaulton JS, Stokes DC, Asch DA, Ungar LH, Merchant RM. Variability in Language used on Social Media prior to Hospital Visits. Scientific Reports 2020;10(1)
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Dallora AL, Berglund JS, 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
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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
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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
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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
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Poly TN, Islam M, Muhtar MS, Yang H, Nguyen PA, 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
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Kim J, Lee WR, 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
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Yao H, Rashidian S, Dong X, Duanmu H, Rosenthal RN, Wang F. Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach. Journal of Medical Internet Research 2020;22(11):e15293
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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
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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
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Hu T, Chow JC, 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
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Bo Y, Liu QB, 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
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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;:1
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6240):
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Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
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. Information Retrieval: A Biomedical and Health Perspective. 2020. Chapter 8:337
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Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
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