AI Cure is a research tool showing open data. Not medical advice. Discuss with your doctor. Terms
This multicenter bidirectional cohort study aims to develop and externally validate a machine learning model for predicting the risk of acute exacerbation within 1 year in patients with allergic bronchopulmonary aspergillosis (ABPA) during the stable phase, and further to evaluate the model's practical value in risk stratification and clinical decision-making. All patients diagnosed with ABPA according to the ISHAM 2024 criteria will be assigned to either the acute exacerbation group or the non-exacerbation group based on whether they experience an acute exacerbation within 1 year. Enrolled participants will be randomly divided into a training set and an internal validation set. During the feature selection phase, univariate analysis, collinearity diagnostics, feature importance ranking derived from nine machine learning algorithms, and expert consensus are comprehensively applied, ulti
Sign in to get the eligibility rules as simple questions to take to your doctor.
AI Cure shows public evidence (Open Targets, ClinicalTrials.gov, PubMed, openFDA, DepMap, AlphaFold) with its source, and AI summaries that cite it โ not medical advice and not a cure. Treatment decisions belong with your doctor. Research ideas are shared only with approved researchers and labs, who can test them. In an emergency call your local emergency number (112 in India and Europe, 911 in the US). AI Cure Terms of Use ยท Privacy