Automated machine learning model to predict anti-tuberculosis drug-induced liver injury in patients with tuberculous meningitis. [PDF]
Front PharmacolLi P +6 more
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Predicting extubation failure in patients with cardiorespiratory decompensation: development and validation of an interpretable machine learning-based risk calculator. [PDF]
Front Cardiovasc MedZhang T, Lu T, Yang S.
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Automated Machine Learning Frameworks for Radiomics: Comparative Evaluation Study. [PDF]
JMIR Form ResLozano-Montoya J +4 more
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A Machine Learning Framework for Preeclampsia Prediction at Isidro Ayora Hospital, Ecuador. [PDF]
Diagnostics (Basel)Perez M +5 more
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Methodological Approaches to and Reported Performance of Applications of Automated Machine Learning in Diabetes Risk Prediction: Rapid Review. [PDF]
JMIR AICastonguay A +3 more
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An interpretable AutoML-based prediction model for enteral nutrition intolerance in severe pulmonary tuberculosis patients and development of a clinical decision system. [PDF]
Front NutrLi Z, Wu Q, Qi X, Pan L, Xu J.
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Development of a prediction model for postoperative urinary tract infection in ureteral stone patients based on automated machine learning models. [PDF]
Front PhysiolLi D, Fang T, Li S.
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Development of automated machine learning models in predicting colorectal adenoma in metabolic-associated steatotic liver disease. [PDF]
Front Med (Lausanne)Liu L, Zhang H, Zhao Z, Xu C, Qu S.
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Development and validation of a prognostic prediction model for patients with traumatic multiple fractures and hemorrhagic shock using an Automated Machine Learning framework: a retrospective cohort study. [PDF]
Front Med (Lausanne)Han T +7 more
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