Machine Learning Analysis of Molecular Indicators for Chronic Kidney Disease in Type 2 Diabetes
Author:
Affiliation:
1. Informatics, Universitas Pelita Harapan, Indonesia
2. Health Sciences, Universitas Pelita Harapan, Indonesia
Funder
Kementerian Pendidikan, Kebudayaan, Riset dan Teknologi Indonesia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638985.3639006
Reference17 articles.
1. Soetikno V. Murwantara A. Andini P. Charlie F. Lazarus G. Louisa M. and Arozal W. 2020. Alpha-Mangostin Improves Cardiac Hypertrophy and Fibrosis and Associated Biochemical Parameters in High-Fat/High-Glucose Diet and Low-Dose Streptozotocin Injection-Induced Type 2 Diabetic Rats</p> Journal of Experimental Pharmacology. Informa UK Limited.
2. Soetikno V. Murwantara A. Jusuf A.A. and Louisa M. 2022. Alpha-mangostin counteracts hyperuricemia and renal dysfunction by inhibiting URAT1 renal transporter in insulin resistance rat model. Beni-Suef University Journal of Basic and Applied Sciences. Springer Science and Business Media LLC.
3. Fujihara K. Matsubayashi Y. Harada Yamada M. Yamamoto M. Iizuka T. Miyamura K. Hasegawa Y. Maegawa H. Kodama S. Yamazaki T. and Sone H. 2021. Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients with Type 2 Diabetes (JDDM 58): Model Development and Validation Study. JMIR Medical Informatics. JMIR Publications Inc.
4. Agliata A. Giordano D. Bardozzo F. Bottiglieri S. Facchiano A. and Tagliaferri R. 2023. Machine Learning as a Support for the Diagnosis of Type 2 Diabetes. International Journal of Molecular Sciences. MDPI AG.
5. Saxena A. Mathur N. Pathak P. Tiwari P. and Mathur S.K. 2023. Machine Learning Model Based on Insulin Resistance Metagenes Underpins Genetic Basis of Type 2 Diabetes. Biomolecules. MDPI AG.
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