Identification of Idiopathic Pulmonary Fibrosis and Prediction of Disease Severity via Machine Learning Analysis of Comprehensive Metabolic Panel and Complete Blood Count Data

被引：0
|
作者：
Alex N. Mueller
Hunter A. Miller
Matthew J. Taylor
Sally A. Suliman
Hermann B. Frieboes
机构：
[1] University of Louisville,School of Medicine
[2] University of Louisville,Department of Bioengineering
[3] University of Louisville,Division of Pulmonary Medicine
[4] University of Arizona Medical Center Phoenix,Formerly at: Division of Pulmonary Medicine
[5] University of Louisville,Department of Pharmacology/Toxicology
[6] University of Louisville,James Graham Brown Cancer Center
[7] University of Louisville,Center for Predictive Medicine
[8] University of Louisville,undefined
来源：
Lung | 2024年 / 202卷
关键词：
Interstitial lung disease; Idiopathic pulmonary fibrosis; Connective tissue disease; Machine learning; Pulmonary function testing;
D O I：
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中图分类号：
学科分类号：
摘要：
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页码：139 / 150
页数：11
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