Ritankar Das Research Investments Press

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Prediction of Sepsis in the intensive care unit with minimal electronic health record data: a machine learning approach


A computational approach to early sepsis detection


Energy landscapes for machine learning


Machine learning prediction for classification of outcomes in local minimistration


Prediction of acute kidney injury with a machine learning algorithm using electronic health record data


Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes


OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models


Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease


Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY Trial


Machine Learning Differentiation of Autism Spectrum Sub-Classifications


Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment


Machine learning determination of applied behavioral analysis treatment plan type


Systems and methods for automatically identifying a candidate patient for enrollment in a clinical trial


Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation


Early prediction of central line associated bloodstream infection using machine learning


Predicting falls in long-term care facilities: machine learning study

Ritankar Das Research Investments Press