首页|University of Eastern Finland Reports Findings in Heart Disease (Enhancing predi ction accuracy of coronary artery disease through machine learning-driven genomi c variant selection)

University of Eastern Finland Reports Findings in Heart Disease (Enhancing predi ction accuracy of coronary artery disease through machine learning-driven genomi c variant selection)

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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 originating in Kuopio, Finland, by NewsRx journalists, research stated, “Machine learning(M L) methods are increasingly becoming crucial in genome-wide association studies for identifying keygenetic variants or SNPs that statistical methods might over look. Statistical methods predominantlyidentify SNPs with notable effect sizes by conducting association tests on individual genetic variants, oneat a time, t o determine their relationship with the target phenotype.”

KuopioFinlandEuropeAlgorithmsAng iologyArterial Occlusive DiseasesArteriosclerosisCardiologyCardiovascula r Diseases and ConditionsCoronary ArteryCoronary Artery DiseaseCyborgsEm erging TechnologiesGeneticsHealth and Medicine

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.25)