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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| Vydané v: | International journal of advanced computer science & applications Ročník 16; číslo 2 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
West Yorkshire
Science and Information (SAI) Organization Limited
2025
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| Predmet: | |
| ISSN: | 2158-107X, 2156-5570 |
| On-line prístup: | Získať plný text |
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