Journal: BMC Medical Informatics and Decision Making
Article Title: Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review
doi: 10.1186/s12911-025-02870-7
Figure Lengend Snippet: A summary of the three application areas of digital health in COPD
Article Snippet: A. Dias et al. [ ] , 58 individuals COPD undergoing LTOT(35 males, 23 females) , GT1M accelerometer (Actigraph LLC) RT3 accelerometer (Stayhealthy) , Physical activity (PA) , 17 features SD2, SK2, LC2, MC3, AC242, AC243, MF2, MF3, E2, E3, LCF2, LCF3, HLC3, HACC2, HACC3, HLCC2, HLCC3 , logarithmic regression (LOG) support vector machines (SVM) , feed-forward neural network (NN) with 50 neurons in the hidden layer , specificity = 85%, sensitivity = 100%, AUC = 90%.
Techniques: Biomarker Discovery, Standard Deviation, Activity Assay, Plasmid Preparation, Clinical Proteomics, Software, Extraction, Control