Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms

Journals

1. Pike C, Zillioux J, Rapp D. Online Ratings of Urologists: Comprehensive Analysis. Journal of Medical Internet Research 2019;21(7):e12436 View
2. Garcia-Rudolph A, Saurí J, Cegarra B, Bernabeu Guitart M. Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit. JMIR Medical Informatics 2020;8(11):e17903 View
3. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966 View
4. Barrett K, Lange L. Peptide-based functional annotation of carbohydrate-active enzymes by conserved unique peptide patterns (CUPP). Biotechnology for Biofuels 2019;12(1) View
5. Liu J, Gao L. Analysis of topics and characteristics of user reviews on different online psychological counseling methods. International Journal of Medical Informatics 2021;147:104367 View
6. Heo T, Kim Y, Choi J, Jeong Y, Seo S, Lee J, Jeon J, Kim C. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI. Journal of Personalized Medicine 2020;10(4):286 View
7. Samuel Li X. Short or Long Review? - Text Analytics and Machine Learning Approaches to Online Reputation. International Journal of Business and Management Research 2021;9(1):28 View
8. Hendrickx I, Voets T, van Dyk P, Kool R. Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study. Journal of Medical Internet Research 2021;23(7):e19064 View
9. Chiavi D, Haag C, Chan A, Kamm C, Sieber C, Stanikić M, Rodgers S, Pot C, Kesselring J, Salmen A, Rapold I, Calabrese P, Manjaly Z, Gobbi C, Zecca C, Walther S, Stegmayer K, Hoepner R, Puhan M, von Wyl V. The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing. JMIR Medical Informatics 2022;10(11):e37945 View
10. Barnett J, Bjarnadóttir M, Anderson D, Chen C. Understanding Gender Biases and Differences in Web-Based Reviews of Sanctioned Physicians Through a Machine Learning Approach: Mixed Methods Study. JMIR Formative Research 2022;6(9):e34902 View
11. Ramos P, Macedo J, Maior C, Moura M, Lins I. Combining BERT with numerical variables to classify injury leave based on accident description. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 2022:1748006X2211401 View
12. Roche V, Robert J, Salam H. AI-Based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum. SSRN Electronic Journal 2021 View
13. Saedi A, Fatemi A, Nematbakhsh M. Representation-centric approach for classification of Consumer Health Questions. Expert Systems with Applications 2023;229:120436 View
14. Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638 View
15. Saceleanu V, Toader C, Ples H, Covache-Busuioc R, Costin H, Bratu B, Dumitrascu D, Bordeianu A, Corlatescu A, Ciurea A. Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations. Biomedicines 2023;11(10):2617 View
16. Serrano-Guerrero J, Bani-Doumi M, Chiclana F, Romero F, Olivas J. How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining. Informatics for Health and Social Care 2024;49(1):14 View

Books/Policy Documents

1. del Pilar Salas-Zárate M, Alor-Hernández G, García-Alcaraz J, Colombo-Mendoza L, Paredes-Valverde M, Sánchez-Cervantes J. Data Analysis and Optimization for Engineering and Computing Problems. View
2. Wu J, Cao J, Guerrero J, Wang S, Shi W, Yang X, Hao X. State Estimation Strategies in Lithium-ion Battery Management Systems. View