Machine-Learning Model Identifies Patients With Alpha-1 Antitrypsin Deficiency Using Claims Records

Sharma, R., Hogarth, D. K., Colbaugh, R., Glass, K., Mezine, A., Liakoni, V., Rudolf, C., Himmelhan, I., Hinson, J., & Sanchirico, M. (2024). Machine-Learning Model Identifies Patients With Alpha-1 Antitrypsin Deficiency Using Claims Records. COPD, 21(1), 2393348. https://doi.org/10.1080/15412555.2024.2393348

Authors:
Rajani Sharma
D Kyle Hogarth
Richard Colbaugh
Kristin Glass
Adel Mezine
Vassia Liakoni
Christopher Rudolf
Iris Himmelhan
Jimmy Hinson
Marie Sanchirico
Affiliated Authors:
Rajani Sharma
Columbia Affiliation:
Subjects:
Role of Matrix Metalloproteinases in Cancer and Physiology (OpenAlex Topic)
Thrombosis and Coagulation Disorders (OpenAlex Topic)
Role of Fibroblast Activation in Cancer Progression (OpenAlex Topic)
alpha 1-Antitrypsin Deficiency (MeSH)
Machine Learning (MeSH)
Databases, Factual (MeSH)
Author Keywords:
machine learning
claims data
rare diseases
alpha-1 antitrypsin deficiency
chronic obstructive pulmonary disease
chronic liver disease
elink
Publication Type:
Article
Unique ID:
10.1080/15412555.2024.2393348
PMID:
39311422
DOI:
10.1080/15412555.2024.2393348
Journal:
COPD
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
View OpenAlex Record
View Web of Science Record

Record Created: