An adaptive language model-based intelligent medication assistant for the decision support of antidepressant prescriptions

The commercial model gpt4o had a total score of 4.10/5.00, while the open model llama3 had a total score of 2.92/5.00. The results showed that commercial models present better results than open models, providing more accurate answers, considering the patients' context.

Authors

Institutions

Publication Details

Journal
Computers in Biology and Medicine
Published
2025-03-27
DOI
https://doi.org/10.1016/j.compbiomed.2025.110065
Citations
3
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
7.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An adaptive language model-based intelligent medication assistant for the decision support of antidepressant prescriptions

R. J. Silva, Luís Gomes
3 citations
Computers in Biology and Medicine
Machine Learning in Healthcare
7.44
article

An adaptive language model-based intelligent medication assistant for the decision support of antidepressant prescriptions

R. J. Silva, Luís Gomes
article en
3 citations

Abstract

The commercial model gpt4o had a total score of 4.10/5.00, while the open model llama3 had a total score of 2.92/5.00. The results showed that commercial models present better results than open models, providing more accurate answers, considering the patients' context.

Computers in Biology and MedicineVol. 190
Intelligent Systems Research (United States) (US), Hospital de Santo António (PT)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Machine Learning in Healthcare
7.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.