Enhanced Early Detection of Diabetic Nephropathy Using a Hybrid Autoencoder-LSTM Model for Clinical Prediction

Early detection and precise prediction are essential in medical diagnosis, particularly for diseases such as diabetic nephropathy (DN), which tends to go undiagnosed at its early stages. Conventional diagnostic techniques may not be sensitive and timely, and hence, early intervention might be diffic...

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Bibliographic Details
Published in:	International journal of advanced computer science & applications Vol. 16; no. 2
Main Authors:	Rani, U. Sudha, Subhas, C.
Format:	Journal Article
Language:	English
Published:	West Yorkshire Science and Information (SAI) Organization Limited 2025
Subjects:	Accuracy Biomarkers Computer science Data analysis Deep learning Diabetes Diabetic nephropathy Diagnosis Disease Disease control Glucose Hyperglycemia Kidneys Machine learning Optimization techniques Patients Support vector machines
ISSN:	2158-107X, 2156-5570
Online Access:	Get full text
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