AIMC Topic: Diabetes Complications

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Machine Learning Identifies Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients With Diabetes Mellitus.

The Journal of clinical endocrinology and metabolism Jul 12, 2024
CONTEXT: The presence of metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with diabetes mellitus (DM) is associated with a high risk of cardiovascular disease, but is often underdiagnosed.
Humans Machine Learning Female Risk Factors Aged Adult Male Middle Aged Risk Assessment ROC Curve Diabetes Mellitus, Type 2 Fatty Liver Diabetes Mellitus Diabetes Complications
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Predicting complications of diabetes mellitus using advanced machine learning algorithms.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: We sought to predict if patients with type 2 diabetes mellitus (DM2) would develop 10 selected complications. Accurate prediction of complications could help with more targeted measures that would prevent or slow down their development.
Humans Neural Networks, Computer Algorithms Prognosis Risk Assessment Deep Learning Diabetes Mellitus, Type 2 Decision Trees Diabetes Complications
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Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Diabetic Macular Edema (DME) is a severe eye disease that can lead to irreversible blindness if it is left untreated. DME diagnosis still relies on manual evaluation from opthalmologists, thus the process is time consuming and diagnosis may be subjec...
Humans Neural Networks, Computer Algorithms Deep Learning Principal Component Analysis Tomography, Optical Coherence Macular Edema Diabetes Complications
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