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Alon Geva

Explore the profile of Alon Geva including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 55
Citations 316
Followers 0
Related Specialties
Pediatrics
Medical Informatics
General Medicine
Top 10 Co-Authors
Kenneth D Mandl
Nilesh M Mehta
Alireza Akhondi-Asl
Tianxi Cai
Yuan Luo
L Nelson Sanchez-Pinto
Chuan Hong
E Vincent S Faustino
Tellen D Bennett
Andrew J McMurry
Published In
Pediatr Crit Care Med
medRxiv
J Biomed Inform
Pediatrics
J Am Med Inform Assoc
Affiliations
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Recent Articles
11.
Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study
McMurry A, Zipursky A, Geva A, Olson K, Jones J, Ignatov V, et al.
J Med Internet Res . 2024 Apr; 26:e53367. PMID: 38573752
Background: Real-time surveillance of emerging infectious diseases necessitates a dynamically evolving, computable case definition, which frequently incorporates symptom-related criteria. For symptom detection, both population health monitoring platforms and research initiatives...
12.
Biomarker Assessment of a High-Risk, Data-Driven Pediatric Sepsis Phenotype Characterized by Persistent Hypoxemia, Encephalopathy, and Shock
Atreya M, Bennett T, Geva A, Faustino E, Rogerson C, Lutfi R, et al.
Pediatr Crit Care Med . 2024 Mar; 25(6):512-517. PMID: 38465952
Objectives: Identification of children with sepsis-associated multiple organ dysfunction syndrome (MODS) at risk for poor outcomes remains a challenge. We sought to the determine reproducibility of the data-driven "persistent hypoxemia,...
13.
Comparing the Quality of Domain-Specific Versus General Language Models for Artificial Intelligence-Generated Differential Diagnoses in PICU Patients
Akhondi-Asl A, Yang Y, Luchette M, Burns J, Mehta N, Geva A
Pediatr Crit Care Med . 2024 Feb; 25(6):e273-e282. PMID: 38329382
Objectives: Generative language models (LMs) are being evaluated in a variety of tasks in healthcare, but pediatric critical care studies are scant. Our objective was to evaluate the utility of...
14.
Emergency department visits and boarding for pediatric patients with suicidality before and during the COVID-19 pandemic
Zipursky A, Olson K, Bode L, Geva A, Jones J, Mandl K, et al.
PLoS One . 2023 Nov; 18(11):e0286035. PMID: 37910582
Objective: To quantify the increase in pediatric patients presenting to the emergency department with suicidality before and during the COVID-19 pandemic, and the subsequent impact on emergency department length of...
15.
Knowledge-Driven Online Multimodal Automated Phenotyping System
Xiong X, Sweet S, Liu M, Hong C, Bonzel C, Ayakulangara Panickan V, et al.
medRxiv . 2023 Oct; PMID: 37873131
Though electronic health record (EHR) systems are a rich repository of clinical information with large potential, the use of EHR-based phenotyping algorithms is often hindered by inaccurate diagnostic records, the...
16.
Distinct clinical phenotypes in paediatric cancer patients with sepsis are associated with different outcomes-an international multicentre retrospective study
Wosten-van Asperen R, la Roi-Teeuw H, van Amstel R, Bos L, Tissing W, Jordan I, et al.
EClinicalMedicine . 2023 Oct; 65:102252. PMID: 37842550
Background: Identifying phenotypes in sepsis patients may enable precision medicine approaches. However, the generalisability of these phenotypes to specific patient populations is unclear. Given that paediatric cancer patients with sepsis...
17.
Validation and Extension of the Association Between Potentially Excess Oxygen Exposure and Death in Mechanically Ventilated Children
Geva A, Akhondi-Asl A, Mehta N
Pediatr Crit Care Med . 2023 Sep; 24(9):e434-e440. PMID: 37668503
Objectives: "Cumulative excess oxygen exposure" (CEOE)-previously defined as the mean hourly administered Fio2 above 0.21 when the corresponding hourly Spo2 was 95% or above-was previously shown to be associated with...
18.
External validation and biomarker assessment of a high-risk, data-driven pediatric sepsis phenotype characterized by persistent hypoxemia, encephalopathy, and shock
Atreya M, Bennett T, Geva A, Faustino E, Rogerson C, Lutfi R, et al.
Res Sq . 2023 Aug; PMID: 37577648
Objective: Identification of children with sepsis-associated multiple organ dysfunction syndrome (MODS) at risk for poor outcomes remains a challenge. Data-driven phenotyping approaches that leverage electronic health record (EHR) data hold...
19.
A computable case definition for patients with SARS-CoV2 testing that occurred outside the hospital
Wang L, Zipursky A, Geva A, McMurry A, Mandl K, Miller T
JAMIA Open . 2023 Jul; 6(3):ooad047. PMID: 37425487
Objective: To identify a cohort of COVID-19 cases, including when evidence of virus positivity was only mentioned in the clinical text, not in structured laboratory data in the electronic health...
20.
Derivation, Validation, and Clinical Relevance of a Pediatric Sepsis Phenotype With Persistent Hypoxemia, Encephalopathy, and Shock
Sanchez-Pinto L, Bennett T, Stroup E, Luo Y, Atreya M, Bubeck Wardenburg J, et al.
Pediatr Crit Care Med . 2023 Jun; 24(10):795-806. PMID: 37272946
Objectives: Untangling the heterogeneity of sepsis in children and identifying clinically relevant phenotypes could lead to the development of targeted therapies. Our aim was to analyze the organ dysfunction trajectories...