Ritankar Das

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 7

Top Topics

Acute Respiratory Distress Syndrome

Extracorporeal Membrane Oxygenation

Top Venues

JMIR public health and surveillance

BMJ open quality

JMIR medical informatics

BMJ open diabetes research & care

This page only lists publications with an associated author ORCID identifier.

Publications

Angier Allen, Zohora Iqbal, Abigail Green-Saxena, Myrna Hurtado, Jana L Hoffman, Qingqing Mao, Ritankar Das
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus. BMJ open diabetes research & care 10 (1) (2022)
Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi, Myrna Hurtado, Gina Barnes, Jana L Hoffman, Jacob Calvert, Lynne Katzmann, Qingqing Mao, Ritankar Das
Predicting Falls in Long-term Care Facilities: Machine Learning Study. JMIR aging 5 (2) (2022)
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana L Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study. JMIR formative research 5 (9) (2021)
Chak Foon Tso, Anurag Garikipati, Abigail Green-Saxena, Qingqing Mao, Ritankar Das
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study. JMIR public health and surveillance 7 (6) (2021)
Angier Allen, Samson J Mataraso, Anna C Siefkas, Hoyt Burdick, Gregory L Braden, R Phillip Dellinger, Andrea McCoy, Emily Pellegrini, Jana L Hoffman, Abigail Green-Saxena, Gina Barnes, Jacob Calvert, Ritankar Das
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study. JMIR public health and surveillance 6 (4) (2020)
Andrea McCoy, Ritankar Das
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units. BMJ open quality 6 (2) (2017)
Thomas A Desautels, Jacob Calvert, Jana L Hoffman, Melissa J Smith, Yaniv Kerem, Lisa Shieh, David Shimabukuro, Uli Chettipally, Mitchell D Feldman, Chris Barton, David J Wales, Ritankar Das
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach. JMIR medical informatics 4 (3) (2016)