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Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach.

, , , , , , , , , , , , and . ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 297-300. IOS Press, (2021)

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Prediction of Hospitalization Using Machine Learning for Emergency Department Patients., , , , , , , , , and 5 other author(s). MIE, volume 294 of Studies in Health Technology and Informatics, page 145-146. IOS Press, (2022)Using machine learning techniques to predict hospital admission at the emergency department., , , , , , , , , and 3 other author(s). CoRR, (2021)Admission and Discharge Following Ambulance Transport to the Emergency Department., , , , , , , , , and 3 other author(s). ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 418-421. IOS Press, (2021)Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients., , , , , , , , , and 5 other author(s). ICIMTH, volume 295 of Studies in Health Technology and Informatics, page 405-408. IOS Press, (2022)Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach., , , , , , , , , and 3 other author(s). ICIMTH, volume 289 of Studies in Health Technology and Informatics, page 297-300. IOS Press, (2021)Using Microbiological Data Analysis to Tackle Antibiotic Resistance of Klebsiella Pneumoniae., , , , , , , , , and 2 other author(s). ICIMTH, volume 262 of Studies in Health Technology and Informatics, page 180-183. IOS Press, (2019)Exploratory Clustering for Emergency Department Patients., , , , , , , , , and 5 other author(s). ICIMTH, volume 295 of Studies in Health Technology and Informatics, page 503-506. IOS Press, (2022)Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains., , , , , , , , , and 5 other author(s). MIE, volume 281 of Studies in Health Technology and Informatics, page 43-47. IOS Press, (2021)Analyzing Acute Care Surgery Patient Flow in the Emergency Department During COVID-19 Pandemic., , , , , , , , , and 4 other author(s). MIE, volume 281 of Studies in Health Technology and Informatics, page 540-544. IOS Press, (2021)