A Machine Learning Technology for Addressing Medication-Related Risk in Older, Multimorbid Patients

The FeelBetter system effectively stratifies older patients with multimorbidity at risk of ED use and hospitalizations. Medication recommendations provided by the system are largely accurate and can potentially be beneficial for patient care.

Authors

Diane L. Seger (ORCID: https://orcid.org/0000-0001-9924-378X)

Publication Details

Journal: The American Journal of Managed Care
Published: 2024-08-12
DOI: https://doi.org/10.37765/ajmc.2024.89592
Citations: 5
Primary Topic: Pharmaceutical Practices and Patient Outcomes
Type: article
Field-Weighted Citation Impact: 1.72

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article

A Machine Learning Technology for Addressing Medication-Related Risk in Older, Multimorbid Patients

Diane L. Seger

Aug 12, 2024

5 citations

The American Journal of Managed Care

Pharmaceutical Practices and Patient Outcomes

1.72

article

A Machine Learning Technology for Addressing Medication-Related Risk in Older, Multimorbid Patients

Diane L. Seger

August 12, 2024article en

5 citations

Abstract

The American Journal of Managed CareVol. 30(8)

Openalex Percentile: Top 16%

Pharmaceutical Practices and Patient Outcomes

1.72

DOI Source OpenAlex

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A Machine Learning Technology for Addressing Medication-Related Risk in Older, Multimorbid Patients — Diane L. Seger · The American Journal of Managed Care (2024) | TGRS Research Map | TGRS