PDF) Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
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Steve Blank Artificial Intelligence and Machine Learning– Explained
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Proceedings of the 2023 SIAM International Conference on Data Mining (SDM)
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Computed Protein–Protein Enthalpy Signatures as a Tool for Identifying Conformation Sampling Problems
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Frontiers Use of Multi-Modal Data and Machine Learning to Improve Cardiovascular Disease Care
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Deep learning prediction models based on EHR trajectories: A systematic review - ScienceDirect
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Healthcare, Free Full-Text
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Full article: Comparison of machine learning algorithms to SAPS II in predicting in-hospital mortality of fractures of the pelvis and acetabulum: analyzes based on MIMIC-III database
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Machine learning in the prediction of cancer therapy - Computational and Structural Biotechnology Journal
Machine Learning Methods for Small Data Challenges in Molecular Science
Predicting risk for trauma patients using static and dynamic information from the MIMIC III database
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Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost, Journal of Translational Medicine
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Artificial neural network - Wikipedia
Predicting risk for trauma patients using static and dynamic information from the MIMIC III database
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