Neha Arora, Biswajit Mishra
Detection and classification of atrial and ventricular cardiovascular diseases to improve the cardiac health literacy for resource constrained regions
Healthcare technology letters
machine learning classifier system fibresolve designed validated adjunct noninvasive diagnosis idiopathic pulmonary fibrosis ipf system uses deep learning algorithm analyze chest computed tomography ct imaging hypothesized fibresolve useful predictor mortality interstitial lung diseases ild fibresolve previously validated multisite 500patient dataset analysis assessed usefulness fibresolve predict mortality subset 228 patients ipf ilds follow data available applied cox regression analysis adjusting gender age physiology gap score known predictors mortality ipf also analyzed role fibresolve tertiles adjusting gap stages median followup 28 years range 5 3434 days 89 patients died adjusting gap score mortality risk factors fibresolve score significantly predicted risk death hr 714 95 ci 1313885 p 002 followup period forced vital capacity history lung cancer adjusting gap stages variables fibresolve score split tertiles significantly predicted risk death p 0027 model hr 137 2nd tertile 95 ci 077242 hr 219 3rd tertile 95 ci 122393 machine learning classifier fibresolve demonstrated independent predictor mortality ilds prognostic performance equivalent gap based solely ct images