首页|Karolinska Institute Reports Findings in Heart Failure (A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care)
Karolinska Institute Reports Findings in Heart Failure (A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of a report. According to news reporting o riginating in Solna, Sweden, by NewsRx journalists, research stated, “We aimed t o create a predictive model utilizing machine learning (ML) to identify new case s of congestive heart failure (CHF) in individuals with diabetes in primary heal th care (PHC) through the analysis of diagnostic data. We used a sex- and age-ma tched case-control design.”
SolnaSwedenEuropeCardiologyCardi ovascular Diseases and ConditionsCyborgsDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineHeart DiseaseHeart Disorders and DiseasesHeart FailureMachine Learning
NETL
NSTL
