首页|University of Calgary Reports Findings in Heart Disease (Unsupervised Feature Se lection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Coh ort of Patients With Coronary Heart Disease: Retrospective Study)
University of Calgary Reports Findings in Heart Disease (Unsupervised Feature Se lection to Identify Important ICD-10 and ATC Codes for Machine Learning on a Coh ort of Patients With Coronary Heart Disease: Retrospective Study)
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 DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Disease is the subject of a report.According to news reporting o riginating in Calgary, Canada, by NewsRx journalists, research stated, “Theappl ication of machine learning in health care often necessitates the use of hierarc hical codes such as the International Classification of Diseases (ICD) and Anato mical Therapeutic Chemical (ATC) systems.These codes classify diseases and medi cations, respectively, thereby forming extensive data dimensions.”
CalgaryCanadaNorth and Central Ameri caCardiologyCardiovascular Diseases and ConditionsCyborgsEmerging Techno logiesHeart DiseaseHeart Disorders and DiseasesMachine Learning
NETL
NSTL
