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Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS).

, , , , , and . J. Am. Medical Informatics Assoc., 31 (1): 70-78 (December 2023)

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A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework., , and . CoRR, (2022)An integrated optimization and machine learning approach to predict the admission status of emergency patients., , , and . Expert Syst. Appl., (2022)Using natural language processing to characterize and predict homeopathic product-associated adverse events in consumer reviews: comparison to reports to FDA Adverse Event Reporting System (FAERS)., , , , , and . J. Am. Medical Informatics Assoc., 31 (1): 70-78 (December 2023)An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations., , , and . CoRR, (2022)Machine Learning Applications in Studying Mental Health Among Immigrants and Racial and Ethnic Minorities: A Systematic Review., , and . CoRR, (2023)A Practical and Empirical Comparison of Three Topic Modeling Methods Using a COVID-19 Corpus: LSA, LDA, and Top2Vec., , , , , , and . HICSS, page 930-939. ScholarSpace, (2023)An Integrated Optimization and Machine Learning Models to Predict the Admission Status of Emergency Patients., , , and . CoRR, (2022)Estimation of racial and language disparities in pediatric emergency department triage using statistical modeling and natural language processing., , and . J. Am. Medical Informatics Assoc., 31 (4): 958-967 (2024)A machine learning framework for predicting long-term graft survival after kidney transplantation., , , , and . Expert Syst. Appl., (2021)Evaluation of a COVID-19 Risk Tool., , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 1552-1553. IOS Press, (2023)