N
Nidhi Naik
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 10
Citations - 434
Nidhi Naik is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Dialysis & Emergency department. The author has an hindex of 6, co-authored 9 publications receiving 184 citations. Previous affiliations of Nidhi Naik include Mount Sinai Hospital & University of Toronto.
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Journal ArticleDOI
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Akhil Vaid,Sulaiman Somani,Adam Russak,Jessica K De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Samuel J. Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O'Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon-Cardo,Valentin Fuster,Dennis S. Charney,David Reich,Erwin P. Bottinger,Erwin P. Bottinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C. Just,Alexander W. Charney,Girish N. Nadkarni,Benjamin S. Glicksberg +48 more
TL;DR: Externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons were developed and established model interpretability to identify and rank variables that drive model predictions.
Journal ArticleDOI
Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization for COVID-19.
Sulaiman Somani,Sulaiman Somani,Felix Richter,Felix Richter,Valentin Fuster,Valentin Fuster,Jessica K De Freitas,Jessica K De Freitas,Nidhi Naik,Nidhi Naik,Keith Sigel,Keith Sigel,Erwin P. Bottinger,Erwin P. Bottinger,Matthew A. Levin,Zahi A. Fayad,Zahi A. Fayad,Allan C Just,Allan C Just,Alexander W. Charney,Shan Zhao,Shan Zhao,Benjamin S. Glicksberg,Benjamin S. Glicksberg,Anuradha Lala,Anuradha Lala,Girish N. Nadkarni,Girish N. Nadkarni +27 more
TL;DR: Patients who returned more likely had COPD and hypertension, shorter LOS on index-hospitalization, and lower rates of in-hospital treatment-dose anticoagulation, and future studies should focus on whether these comorbid conditions, longer LOS, and antICOagulation are associated with reduced readmissions.
Journal ArticleDOI
Deep learning and the electrocardiogram: review of the current state-of-the-art.
Sulaiman Somani,Adam Russak,Felix Richter,Shan Zhao,Akhil Vaid,Fayzan Chaudhry,Jessica K De Freitas,Nidhi Naik,Riccardo Miotto,Girish N. Nadkarni,Jagat Narula,Edgar Argulian,Benjamin S. Glicksberg +12 more
TL;DR: In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has been used to identify patterns in big healthcare datasets for disease phenotyping, event predictions, and complex decision making as discussed by the authors.
Journal Article
Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study
Akhil Vaid,Sulaiman Somani,Adam Russak,J. K. De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Shawn Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O'Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon-Cardo,V Fuster,Dennis S. Charney,David Reich,Erwin P. Bottinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C Just,Alexander W Charney,Girish N. Nadkarni,Benjamin S. Glicksberg +47 more
TL;DR: Electronic Health Records from COVID-19 positive hospitalized patients admitted to the Mount Sinai Health System in New York City are analyzed to establish model interpretability to identify and rank variables that drive model predictions and identify at-risk patients.
Posted ContentDOI
Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization For COVID-19.
Sulaiman Somani,Sulaiman Somani,Felix Richter,Felix Richter,Valentin Fuster,Valentin Fuster,Jessica K De Freitas,Jessica K De Freitas,Nidhi Naik,Nidhi Naik,Keith Sigel,Keith Sigel,Erwin P Boettinger,Matthew A. Levin,Zahi A. Fayad,Zahi A. Fayad,Allan C Just,Allan C Just,Alexander W. Charney,Shan Zhao,Shan Zhao,Benjamin S. Glicksberg,Benjamin S. Glicksberg,Anuradha Lala,Anuradha Lala,Girish N. Nadkarni,Girish N. Nadkarni +26 more
TL;DR: Patients with coronavirus disease 2019 who return to hospital after discharge had higher proportion of COPD and hypertension with shorter LOS on index hospitalization, and a trend towards lower rates of in-hospital treatment-dose anticoagulation.