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» Authors » Meylakh Barshay

Meylakh Barshay

Explore the profile of Meylakh Barshay including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 6
Followers 0
Related Specialties
Cardiology & Vascular Diseases
Public Health
Medical Informatics
Top 10 Co-Authors
Adeel Abbasi
Andrew Kalra
Sung-Min Cho
Carsten Eickhoff
Glenn J R Whitman
Daniel Brodie
Isaac Sears
Christian A Bermudez
Benjamin L Shou
Jaeho Hwang
Published In
JTCVS Open
Res Sq
BMC Med Inform Decis Mak
Pediatr Emerg Care
Ann Fam Med
Affiliations
Soon will be listed here.
Recent Articles
1.
Dieulafoy Lesion in a Pediatric Patient
Barshay M, Cowan M, Beucher M
Pediatr Emerg Care . 2025 Feb; PMID: 39982012
Objective: Our aim is to describe a rare etiology of an upper gastrointestinal bleeding (UGIB) to help pediatric emergency medicine clinicians improve their understanding of its presentation as well as...
2.
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis
Kalra A, Bachina P, Shou B, Hwang J, Barshay M, Kulkarni S, et al.
JTCVS Open . 2024 Nov; 21:140-167. PMID: 39534333
Background: Venovenous extracorporeal membrane oxygenation (VV-ECMO) is associated with acute brain injury (ABI), including central nervous system (CNS) ischemia (defined as ischemic stroke or hypoxic-ischemic brain injury [HIBI]) and intracranial...
3.
Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis
Kalra A, Bachina P, Shou B, Hwang J, Barshay M, Kulkarni S, et al.
JTCVS Open . 2024 Sep; 20:64-88. PMID: 39296456
Objective: We aimed to determine if machine learning can predict acute brain injury and to identify modifiable risk factors for acute brain injury in patients receiving venoarterial extracorporeal membrane oxygenation....
4.
Friend or Foe? Helping Health Care Leadership Reimagine a Healthy EHR Relationship
Barshay M, Richardson C
Ann Fam Med . 2024 Feb; 22(2):79-80. PMID: 38383046
No abstract available.
5.
Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support Organization Registry
Kalra A, Bachina P, Shou B, Hwang J, Barshay M, Kulkarni S, et al.
Res Sq . 2024 Jan; PMID: 38260374
Objective: To determine if machine learning (ML) can predict acute brain injury (ABI) and identify modifiable risk factors for ABI in venoarterial extracorporeal membrane oxygenation (VA-ECMO) patients. Design: Retrospective cohort...
6.
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis
Kalra A, Bachina P, Shou B, Hwang J, Barshay M, Kulkarni S, et al.
Res Sq . 2024 Jan; PMID: 38196631
Background: Venovenous extracorporeal membrane oxygenation (VV-ECMO) is associated with acute brain injury (ABI), including central nervous system (CNS) ischemia (defined as ischemic stroke or hypoxic-ischemic brain injury) and intracranial hemorrhage...
7.
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
Kline J, Reed B, Frost A, Alanis N, Barshay M, Melzer A, et al.
BMC Med Inform Decis Mak . 2023 Oct; 23(1):224. PMID: 37848896
Background: For surveillance of episodic illness, the emergency department (ED) represents one of the largest interfaces for generalizable data about segments of the US public experiencing a need for unscheduled...