首页|Chongqing Jiaotong University Reports Findings in Heart Disease (Machine learnin g models using symptoms and clinical variables to predict coronary artery diseas e on coronary angiography)

Chongqing Jiaotong University Reports Findings in Heart Disease (Machine learnin g models using symptoms and clinical variables to predict coronary artery diseas e on coronary angiography)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Heart Disorders and Diseases - He art Disease is the subject of a report. Accordingto news reporting out of Chong qing, People’s Republic of China, by NewsRx editors, research stated,“Coronary angiography (CAG) is invasive and expensive, while numbers of patients suspected of coronaryartery disease (CAD) undergoing CAG results have no coronary lesion s. To develop machine learningalgorithms using symptoms and clinical variables to predict CAD.”

ChongqingPeople’s Republic of ChinaA siaAlgorithmsAngiographyAngiologyArterial Occlusive DiseasesArterioscl erosisCardiologyCardiovascular Diagnostic TechniquesCardiovascular Disease s and ConditionsCoronary ArteryCoronary Artery DiseaseCyborgsEmerging Te chnologiesHealth and MedicineHeart DiseaseHeart Disorders and DiseasesMa chine LearningMyocardial Ischemia

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.30)