Takip et
Arash Kia
Arash Kia
Mount Sinai Health System, Icahn School of Medicine at Mount Sinai
mssm.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
8282021
Anticoagulation, bleeding, mortality, and pathology in hospitalized patients with COVID-19
GN Nadkarni, A Lala, E Bagiella, HL Chang, PR Moreno, E Pujadas, ...
Journal of the American College of Cardiology 76 (16), 1815-1826, 2020
4592020
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
2242020
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
2112020
Risk of stroke in hospitalized SARS-CoV-2 infected patients: a multinational study
S Shahjouei, S Naderi, J Li, A Khan, D Chaudhary, G Farahmand, S Male, ...
EBioMedicine 59, 2020
1352020
Acute kidney injury in hospitalized patients with COVID-19
L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, M Baweja, ...
MedRxiv, 2020.05. 04.20090944, 2020
1232020
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
1192020
SARS-CoV-2 and stroke characteristics: a report from the multinational COVID-19 stroke study group
S Shahjouei, G Tsivgoulis, G Farahmand, E Koza, A Mowla, A Vafaei Sadr, ...
Stroke 52 (5), e117-e130, 2021
1012021
Anticoagulation, mortality, bleeding and pathology among patients hospitalized with COVID-19: a single health system study
GN Nadkarni, A Lala, E Bagiella, HL Chang, P Moreno, E Pujadas, ...
J Am Coll Cardiol 76 (16), 1815-1826, 2020
922020
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
892021
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
622020
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, 2020
602020
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
442020
Kindling alters neurosteroid‐induced modulation of phasic and tonic GABAA receptor‐mediated currents: role of phosphorylation
A Kia, F Ribeiro, R Nelson, C Gavrilovici, SSG Ferguson, MO Poulter
Journal of neurochemistry 116 (6), 1043-1056, 2011
382011
Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach
E Klang, BR Kummer, NS Dangayach, A Zhong, MA Kia, P Timsina, ...
Scientific reports 11 (1), 1381, 2021
362021
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
242020
MUST-Plus: a machine learning classifier that improves malnutrition screening in acute care facilities
P Timsina, HN Joshi, FY Cheng, I Kersch, S Wilson, C Colgan, R Freeman, ...
Journal of the American College of Nutrition 40 (1), 3-12, 2020
212020
Predictive approaches for acute dialysis requirement and death in COVID-19
A Vaid, L Chan, K Chaudhary, SK Jaladanki, I Paranjpe, A Russak, A Kia, ...
Clinical Journal of the American Society of Nephrology 16 (8), 1158-1168, 2021
202021
Predicting adult hospital admission from emergency department using machine learning: an inclusive gradient boosting model
D Patel, SN Cheetirala, G Raut, J Tamegue, A Kia, B Glicksberg, ...
Journal of Clinical Medicine 11 (23), 6888, 2022
162022
A machine learning model enhances prediction of discharge for surgical patients
DJ Lazar, A Kia, R Freeman, CM Divino
Journal of the American College of Surgeons 231 (4), S132, 2020
72020
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