首页|Research Conducted at Brigham and Women’s Hospital Has Updated Our Knowledge abo ut Machine Learning (A Machine Learning Technology for Addressing Medication-rel ated Risk In Older, Multimorbid Patients)

Research Conducted at Brigham and Women’s Hospital Has Updated Our Knowledge abo ut Machine Learning (A Machine Learning Technology for Addressing Medication-rel ated Risk In Older, Multimorbid Patients)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating from Boston, Massachuset ts, by NewsRx correspondents, research stated, “To evaluate the FeelBetter machi ne learning system’s ability to accurately identify older patients with multimor bidity at Brigham and Women’s Hospital at highest risk of medication-associated emergency department (ED) visits and hospitalizations, and to assess the system’ s ability to provide accurate medication recommendations these patients. Retrosp ective cohort study.” Financial support for this research came from FeelBetter Inc.

BostonMassachusettsUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRisk and PreventionTechnologyBrigham and Women’s Hospital

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.9)