J
Joseph Finkelstein
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 225
Citations - 4866
Joseph Finkelstein is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 32, co-authored 183 publications receiving 4066 citations. Previous affiliations of Joseph Finkelstein include University of Maryland, Baltimore & Columbia University.
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Journal ArticleDOI
The Use and Interpretation of Quasi-Experimental Studies in Medical Informatics
Anthony D. Harris,Jessina C. McGregor,Eli N. Perencevich,Eli N. Perencevich,Jon P. Furuno,Jingkun Zhu,Dan E. Peterson,Joseph Finkelstein +7 more
TL;DR: It is hoped that future medical informatics studies will implement higher level quasi-experimental study designs that yield more convincing evidence for causal links between medical informatic interventions and outcomes.
Journal ArticleDOI
Chronic obstructive pulmonary disease as an independent risk factor for cardiovascular morbidity
TL;DR: The presence of COPD increased the odds of having CVD by a factor of 2.7, and findings support the conclusion that COPD is an independent risk factor for CVD.
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Internet-based home asthma telemonitoring: can patients handle the technology?
TL;DR: In this paper, an Internet-based home asthma telemonitoring system that collects spirometry data and symptom reports from asthma patients' homes for review by physicians in the medical center's clinical information system was evaluated.
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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.
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Introducing Contactless Blood Pressure Assessment Using a High Speed Video Camera
TL;DR: Preliminary data indicated that a high speed camera can be potentially utilized for unobtrusive contactless monitoring of abrupt blood pressure changes in a variety of settings and showed high intra-individual correlation between iPTT and BP.