首页|Centre for Data Science Reports Findings in Atrial Fibrillation (Optimizing warf arin dosing for patients with atrial fibrillation using machine learning)
Centre for Data Science Reports Findings in Atrial Fibrillation (Optimizing warf arin dosing for patients with atrial fibrillation using machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Heart Disorders and Diseases-At rial Fibrillation is the subject of a report. According to news reporting origin ating from Hamilton, Canada, by NewsRx correspondents, research stated, "While n ovel oral anticoagulants are increasingly used to reduce risk of stroke in patie nts with atrial fibrillation, vitamin K antagonists such as warfarin continue to be used extensively for stroke prevention across the world. While effective in reducing the risk of strokes, the complex pharmacodynamics of warfarin make it d ifficult to use clinically, with many patients experiencing under- and/or over- anticoagulation." Financial support for this research came from Core operating budget of the Cente r for Data Science and Digital Health at Hamilton Health Sciences.
HamiltonCanadaNorth and Central Amer icaAlgorithmsAnticoagulantsAtrial FibrillationCardiac ArrhythmiasCereb rovascular Diseases and ConditionsCoagulation ModifiersCoumarin and Indandio ne DerivativeCoumarins and IndandionesCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineHeart DiseaseHeart Disorders and DiseasesMachine LearningPharmaceuticalsReinforcement LearningRodenticideStrokeWarfarin Therapy
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