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[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review
J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …
Machine learning for predicting chronic diseases: a systematic review
Objectives We aimed to review the literature regarding the use of machine learning to
predict chronic diseases. Study design This was a systematic review. Methods The searches …
predict chronic diseases. Study design This was a systematic review. Methods The searches …
Environmental chemical exposure dynamics and machine learning-based prediction of diabetes mellitus
H Wei, J Sun, W Shan, W ** ASD and to detect ASD biomarkers early after
birth, we compared retrospectively ultrasound and biological measurements of babies …
birth, we compared retrospectively ultrasound and biological measurements of babies …
Epigenetics in diabetic cardiomyopathy
X Ma, S Mei, Q Wuyun, L Zhou, D Sun, J Yan - Clinical Epigenetics, 2024 - Springer
Diabetic cardiomyopathy (DCM) is a critical complication that poses a significant threat to the
health of patients with diabetes. The intricate pathological mechanisms of DCM cause …
health of patients with diabetes. The intricate pathological mechanisms of DCM cause …
Machine learning prediction model for post-hepatectomy liver failure in hepatocellular carcinoma: a multicenter study
J Wang, T Zheng, Y Liao, S Geng, J Li, Z Zhang… - Frontiers in …, 2022 - frontiersin.org
Introduction Post-hepatectomy liver failure (PHLF) is one of the most serious complications
and causes of death in patients with hepatocellular carcinoma (HCC) after hepatectomy …
and causes of death in patients with hepatocellular carcinoma (HCC) after hepatectomy …