Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data.

Chao-Ping WuJoelle SleimanBattoul FakhryCeline ChedraouiAmy AttawayAnirban BhattacharyyaEugene R BleeckerAhmet ErdemirBo HuShravan KethireddyDeborah A MeyersHooman H RashidiJoe G Zein

Published in: The journal of allergy and clinical immunology. In practice (2024)

Using real-world data and unsupervised ML, we classified asthma into 5 clinically important subphenotypes where group-specific asthma treatment and management strategies can be designed and deployed.

Keyphrases

machine learning
chronic obstructive pulmonary disease
lung function
big data
allergic rhinitis
electronic health record
genome wide
cystic fibrosis
deep learning
dna methylation