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issai/LLM_for_Dietary_Recommendation_System

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 1b33b85
Licence files: LICENSE, detected as mitEvidence: LICENSE at 1b33b85
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text-generation

Citation text from the card

@article{ADILMETOVA2024,
title = {Evaluating ChatGPT’s Multilingual Performance in Clinical Nutrition Advice Using Synthetic Medical Text: Insights from Central Asia},
journal = {The Journal of Nutrition},
year = {2024},
issn = {0022-3166},
doi = {https://doi.org/10.1016/j.tjnut.2024.12.018},
url = {https://www.sciencedirect.com/science/article/pii/S0022316624012458},
author = {Gulnoza Adilmetova and Ruslan Nassyrov and Aizhan Meyerbekova and Aknur Karabay and Huseyin Atakan Varol and Mei-Yen Chan},
keywords = {AI, LLMs, personalized diet, precision nutrition, Chatbots, Medical Natural Language Processing (NLP)},
abstract = {Background
Although large language models like ChatGPT-4 have demonstrated competency in English, their performance for minority groups speaking underrepresented languages, as well as their ability to adapt to specific sociocultural nuances and regional cuisines, such as those in Central Asia (for example, Kazakhstan), still requires further investigation.
Objectives
To evaluate and compare the effectiveness of the ChatGPT-4 system in providing personalized, evidence-based nutritional recommendations in English, Kazakh, and Russian in Central Asia.
Methods
This study was conducted from 15 May to 31 August, 2023. On the basis of 50 mock patient profiles, ChatGPT-4 generated dietary advice, and responses were evaluated for personalization, consistency, and practicality using a 5-point Likert scale. To identify significant differences between the 3 languages

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dataset_licence({ "id": "issai/LLM_for_Dietary_Recommendation_System" })
signal: "permissive"
stated_licence: "mit"
sources: 0