Zeleke Dutamo Agde, Jeanette H Magnus, Nega Assefa, Muluemebet Abera Wordofa
The protocol for a cluster randomized controlled trial to evaluate couple-based violence prevention education and its ability to reduce intimate partner violence during pregnancy in Southwest Ethiopia
PloS one
decompensation episodes chronic heart failure patients frequently result unplanned outpatient emergency room visits even hospitalizations early detection episodes presymptomatic phase would likely enable clinicians manage patient cohort appropriate modification medical therapy would turn prevent development severe heart failure decompensation thus avoiding need heart failurerelated hospitalizations currently heart failure worsening recognized clinicians characteristic changes heart failurerelated symptoms signs including changes heart sounds latter proven largely unreliable interpretation highly subjective dependent clinicians skills preferences previous studies indicated algorithms artificial intelligence promising distinguishing heart sounds heart failure patients healthy individuals manuscript focus analysis heart sounds chronic heart failure patients decompensated recompensated phase data recorded 37 patients using two types electronic stethoscopes using combination machine learning approaches obtained 72 classification accuracy two phases better accuracy interpretation cardiologists reached 50 results demonstrate machine learning algorithms promising improving early detection heart failure decompensation episodes