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Artificial intelligence in the management of metabolic disorders: a comprehensive review
A Anwar, S Rana, P Pathak - Journal of Endocrinological Investigation, 2025 - Springer
This review explores the significant role of artificial intelligence (AI) in managing metabolic
disorders like diabetes, obesity, metabolic dysfunction-associated fatty liver disease …
disorders like diabetes, obesity, metabolic dysfunction-associated fatty liver disease …
[PDF][PDF] Harnessing machine learning for early prediction of diabetes onset in at risk populations
S Fatima - 2024 - researchgate.net
The purpose of this research is to examine how machine learning algorithms might aid
doctors in diabetes risk assessment and early diagnosis. The investigation made use of a …
doctors in diabetes risk assessment and early diagnosis. The investigation made use of a …
Improving cardiovascular risk prediction with machine learning: a focus on perivascular adipose tissue characteristics
C He, F Wu, L Fu, L Kong, Z Lu, Y Qi, H Xu - BioMedical Engineering …, 2024 - Springer
Background Timely prevention of major adverse cardiovascular events (MACEs) is
imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose …
imperative for reducing cardiovascular diseases-related mortality. Perivascular adipose …
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
Z Liu, Z Meng, D Wei, Y Qin, Y Lv, L **e, H Qiu… - BMC Medical Informatics …, 2024 - Springer
Objective This study aimed to construct a coronary heart disease (CHD) risk-prediction
model in people living with human immunodeficiency virus (PLHIV) with the help of machine …
model in people living with human immunodeficiency virus (PLHIV) with the help of machine …
Detecting cardiovascular diseases using unsupervised machine learning clustering based on electronic medical records
Y Hu, H Yan, M Liu, J Gao, L **e, C Zhang… - BMC Medical Research …, 2024 - Springer
Background Electronic medical records (EMR)-trained machine learning models have the
potential in CVD risk prediction by integrating a range of medical data from patients, facilitate …
potential in CVD risk prediction by integrating a range of medical data from patients, facilitate …
[PDF][PDF] Article History
The Zika virus (ZIKV), which emerged in an epidemic state in 2016, poses a serious risk to
the health of society. It could appear as a serious condition with signs such as migraine and …
the health of society. It could appear as a serious condition with signs such as migraine and …
[HTML][HTML] 机器学**驱动的冠心病风险评估: 1999 至 2018 年 NHANES 数据分析
卢金， 胡豪畅， 修佳明， 杨艳芳， 朱齐丰… - Journal of Central …, 2024 - pmc.ncbi.nlm.nih.gov
目的全球冠心病(coronary artery heart disease, CHD) 发病率居高不下, 给公共卫生系统带来了
极大的负担和挑战. 有效预防和早期诊断CHD 成为减轻这一负担的关键策略 …
极大的负担和挑战. 有效预防和早期诊断CHD 成为减轻这一负担的关键策略 …