6 | Clinical Data Science | Mount Sinai

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

Jul 23, 2020 | Projects, Research

The paper below was published in the Journal of the American College of Nutrition, 40:1,3-12. Prem Timsina, Himanshu N. Joshi, Fu-Yuan Cheng, Ilana Kersch, Sara Wilson, Claudia Colgan, Robert Freeman, David L. Reich, Jeffrey Mechanick, Madhu Mazumdar, Matthew A. Levin...

Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

Jun 1, 2020 | Research

The paper below was published in the Journal of Clinical Medicine. 2020, 9(6), 1668; Cheng F-Y, Joshi H, Tandon P, Freeman R, Reich DL, Mazumdar M, Kohli-Seth R, Levin MA, Timsina P, Kia A. Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19...

Using Electronic Health Records to Enhance Predictions of Fall Risk in Inpatient Settings

Apr 20, 2020 | Research

Using Electronic Health Records to Enhance Predictions of Fall Risk in Inpatient Settings (research paper) NOTE: The research paper below was published in The Joint Commission Journal on Quality and Patient Safety, Volume 46, pages 199-206. Gil Moskowitz,...

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

Jan 27, 2020 | Projects, Research

The research paper below was published in Journal of Clinical Medicine. 2020; 9(2):343. Kia A, Timsina P, Joshi HN, Klang E, Gupta RR, Freeman RM, Reich DL, Tomlinson MS, Dudley JT, Kohli-Seth R, Mazumdar M, Levin MA. MEWS++: Enhancing the Prediction of Clinical...

48hr Discharge (Length of Stay) MSH

Jul 4, 2019 | Projects

The 48Hr Discharge (aka Length of Stay) streaming engine was created to predict the probability of patient discharge (by 2pm and midnight daily) and therefore help automate the RTDC system and assist in the prioritization of remaining tasks at Mount Sinai Hospital....

MUST-Plus: A Machine Learning Classifier That Improves Malnutrition Screening in Acute Care Facilities

Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

Using Electronic Health Records to Enhance Predictions of Fall Risk in Inpatient Settings

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

48hr Discharge (Length of Stay) MSH

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