| AKI in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ... Journal of the American Society of Nephrology 32 (1), 151-160, 2021 | 809 | 2021 |
| Severe obesity as an independent risk factor for COVID‐19 mortality in hospitalized patients younger than 50 E Klang, G Kassim, S Soffer, R Freeman, MA Levin, DL Reich Obesity 28 (9), 1595-1599, 2020 | 339 | 2020 |
| Using machine learning to predict ICU transfer in hospitalized COVID-19 patients FY Cheng, H Joshi, P Tandon, R Freeman, DL Reich, M Mazumdar, ... Journal of clinical medicine 9 (6), 1668, 2020 | 194 | 2020 |
| Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... Journal of medical Internet research 22 (11), e24018, 2020 | 183 | 2020 |
| Clinical characteristics of hospitalized Covid-19 patients in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... MedRxiv, 2020.04. 19.20062117, 2020 | 127 | 2020 |
| Mount Sinai COVID Informatics Center (MSCIC): AKI in hospitalized patients with COVID-19 L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ... J Am Soc Nephrol 32 (1), 151-160, 2021 | 89 | 2021 |
| Effectiveness of a multidisciplinary patient care bundle for reducing surgical-site infections MR Weiser, M Gonen, S Usiak, T Pottinger, P Samedy, D Patel, S Seo, ... Journal of British Surgery 105 (12), 1680-1687, 2018 | 66 | 2018 |
| Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19 P Parchure, H Joshi, K Dharmarajan, R Freeman, DL Reich, M Mazumdar, ... BMJ supportive & palliative care 12 (e3), e424-e431, 2022 | 58 | 2022 |
| Using deep-learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram A Vaid, KW Johnson, MA Badgeley, SS Somani, M Bicak, I Landi, ... Cardiovascular Imaging 15 (3), 395-410, 2022 | 50 | 2022 |
| MEWS++: enhancing the prediction of clinical deterioration in admitted patients through a machine learning model A Kia, P Timsina, HN Joshi, E Klang, RR Gupta, RM Freeman, DL Reich, ... Journal of clinical medicine 9 (2), 343, 2020 | 46 | 2020 |
| Moderate or severe impairment in pulmonary function is associated with mortality in sarcoidosis patients infected with SARS‑CoV‑2 AS Morgenthau, MA Levin, R Freeman, DL Reich, E Klang Lung 198, 771-775, 2020 | 43 | 2020 |
| The association between obesity and peak antibody titer response in COVID‐19 infection S Soffer, BS Glicksberg, E Zimlichman, O Efros, MA Levin, R Freeman, ... Obesity 29 (9), 1547-1553, 2021 | 40 | 2021 |
| Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ... BMJ open 10 (11), e040736, 2020 | 37 | 2020 |
| Machine learning to predict mortality and critical events in covid-19 positive new york city patients A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... medRxiv, 2020.04. 26.20073411, 2020 | 29 | 2020 |
| Implementation of a novel postoperative monitoring system using automated Modified Early Warning Scores (MEWS) incorporating end-tidal capnography JM Blankush, R Freeman, J McIlvaine, T Tran, S Nassani, IM Leitman Journal of clinical monitoring and computing 31, 1081-1092, 2017 | 25 | 2017 |
| Factors associated with longitudinal psychological and physiological stress in health care workers during the COVID-19 pandemic: observational study using apple watch data RP Hirten, M Danieletto, L Tomalin, KH Choi, M Zweig, E Golden, S Kaur, ... Journal of medical Internet research 23 (9), e31295, 2021 | 24 | 2021 |
| Machine learning to predict mortality and critical events in COVID-19 positive New York city patients: a cohort study A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ... J. Med. Internet Res 22 (11), 2020 | 24 | 2020 |
| Sex differences in age and comorbidities for COVID-19 mortality in urban New York City E Klang, S Soffer, G Nadkarni, B Glicksberg, R Freeman, C Horowitz, ... SN comprehensive clinical medicine 2, 1319-1322, 2020 | 20 | 2020 |
| Using electronic health records to enhance predictions of fall risk in inpatient settings G Moskowitz, NN Egorova, A Hazan, R Freeman, DL Reich, RM Leipzig The Joint Commission Journal on Quality and Patient Safety 46 (4), 199-206, 2020 | 15 | 2020 |
| Association between COVID-19 diagnosis and presenting chief complaint from New York City triage data CT Clifford, TR Pour, R Freeman, DL Reich, BS Glicksberg, MA Levin, ... The American Journal of Emergency Medicine 46, 520-524, 2021 | 13 | 2021 |
