Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost

An evidence-based diagnostic algorithm for adult asthma is necessary for effective treatment and management. We present a diagnostic algorithm that utilizes a random forest (RF) and an optimized eXtreme Gradient Boosting (XGBoost) classifier to diagnose adult asthma as an auxiliary tool. Data were g...

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Detalles Bibliográficos
Autores principales: Tomita, Katsuyuki, Yamasaki, Akira, Katou, Ryohei, Ikeuchi, Tomoyuki, Touge, Hirokazu, Sano, Hiroyuki, Tohda, Yuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572917/
https://www.ncbi.nlm.nih.gov/pubmed/37835811
http://dx.doi.org/10.3390/diagnostics13193069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572917/
https://www.ncbi.nlm.nih.gov/pubmed/37835811
http://dx.doi.org/10.3390/diagnostics13193069

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