PHARMACOLOGICAL PREDICTION

In general, the aim of this project is to develop a model that can be used in a clinical setting to assist physicians in making more informed decisions about which drugs to prescribe to their patients. This model could be a valuable tool for improving patient outcomes and reducing healthcare costs by helping to ensure that patients are prescribed the most appropriate drugs for their specific health conditions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-04
DOI
https://doi.org/10.5281/zenodo.13208720
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

PHARMACOLOGICAL PREDICTION

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

PHARMACOLOGICAL PREDICTION

article en

Abstract

In general, the aim of this project is to develop a model that can be used in a clinical setting to assist physicians in making more informed decisions about which drugs to prescribe to their patients. This model could be a valuable tool for improving patient outcomes and reducing healthcare costs by helping to ensure that patients are prescribed the most appropriate drugs for their specific health conditions

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 54%
Computability, Logic, AI Algorithms
DOIOpen Access PDFOpenAlex
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PHARMACOLOGICAL PREDICTION · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS