Cosmin Adrian Bejan

Cosmin Adrian Bejan

Vanderbilt University

H-index: 21

North America-United States

About Cosmin Adrian Bejan

Cosmin Adrian Bejan, With an exceptional h-index of 21 and a recent h-index of 15 (since 2020), a distinguished researcher at Vanderbilt University, specializes in the field of EHR phenotyping, natural language processing, information extraction, biomedical informatics, applied machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Interoperability of phenome-wide multimorbidity patterns: a comparative study of two large-scale EHR systems

Evaluation of genetic associations with clinical phenotypes of kidney stone disease

Cost-effective and scalable clonal hematopoiesis assay provides insight into clonal dynamics

Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis

Driver mutation zygosity is a critical factor in predicting clonal hematopoiesis transformation risk

Overcome the Limitation of Phenome-Wide Association Studies (PheWAS): Extension of PheWAS to Efficient and Robust Large-Scale ICD Codes Analysis

Global trends of monkeypox-related articles: A bibliometric analysis over the last five decades (1964–July 14, 2022)

PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis

Cosmin Adrian Bejan Information

University

Position

Assistant Professor

Citations(all)

2225

Citations(since 2020)

1281

Cited By

1359

hIndex(all)

21

hIndex(since 2020)

15

i10Index(all)

40

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Cosmin Adrian Bejan Skills & Research Interests

EHR phenotyping

natural language processing

information extraction

biomedical informatics

applied machine learning

Top articles of Cosmin Adrian Bejan

Interoperability of phenome-wide multimorbidity patterns: a comparative study of two large-scale EHR systems

medRxiv

2024

Evaluation of genetic associations with clinical phenotypes of kidney stone disease

medRxiv

2024

Cost-effective and scalable clonal hematopoiesis assay provides insight into clonal dynamics

The Journal of Molecular Diagnostics

2024/4/6

Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis

Medrxiv: the Preprint Server for Health Sciences

2023/5/16

Driver mutation zygosity is a critical factor in predicting clonal hematopoiesis transformation risk

Blood Cancer Journal

2024/1/15

Overcome the Limitation of Phenome-Wide Association Studies (PheWAS): Extension of PheWAS to Efficient and Robust Large-Scale ICD Codes Analysis

medRxiv

2024

Global trends of monkeypox-related articles: A bibliometric analysis over the last five decades (1964–July 14, 2022)

Journal of Infection and Public Health

2023/9/1

PheMIME: An Interactive Web App and Knowledge Base for Phenome-Wide, Multi-Institutional Multimorbidity Analysis

medRxiv

2023/7/30

PI3K inhibition restores and amplifies response to ruxolitinib in patients with myelofibrosis

Clinical Cancer Research

2023/7/5

Genetic prediction of colitis in non-small cell lung cancer patients on immune checkpoint inhibitor therapy.

Medrxiv: the Preprint Server for Health Sciences

2023/5/16

Patient-specific comorbidities as prognostic variables for survival in myelofibrosis

Blood Advances

2023/3/14

Kidney stone prevalence based on self-report and Electronic Health Records: insight into the prevalence of active medical care for kidney stones

Urology

2023/3/1

Reproduction of HLA-A* 32: 01 and other genetic and ecological factors associated with Vancomycin Drug Reaction With Eosinophilia And Systemic Symptoms in An Electronic Health …

Journal of Allergy and Clinical Immunology

2023/2/1

Contraceptive exposure associates with urinary tract infection risk in a cohort of reproductive-age women: a case control study

The European Journal of Contraception & Reproductive Health Care

2023/1/2

Scalable Incident Detection via Natural Language Processing and Probabilistic Language Models

medRxiv

2023

Interactive network-based clustering and investigation of multimorbidity association matrices with associationSubgraphs

Bioinformatics

2023/1/1

Machine learning models to predict 24 hour urinary abnormalities for kidney stone disease

Urology

2022/11/1

Dense phenotyping from electronic health records enables machine learning-based prediction of preterm birth

BMC medicine

2022/9/28

Improving ascertainment of suicidal ideation and suicide attempt with natural language processing

Scientific reports

2022/9/7

P-182: Mosaic chromosomal alterations increase risk of incident monoclonal gammopathy of undetermined significance and multiple myeloma

Clinical Lymphoma Myeloma and Leukemia

2022/8/1

See List of Professors in Cosmin Adrian Bejan University(Vanderbilt University)