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Logistic regression prediction models and key influencing factors analysis of diabetes based on algorithm design

  • Published:2023-03-29 Issue:36 Volume:35 Page:25249-25261
  • ISSN:0941-0643
  • Container-title:Neural Computing and Applications
  • language:en
  • Short-container-title:Neural Comput & Applic

Author:

Li ZhijianORCID,Pang Sulin,Qu Hongying,Lian Wanmin

Funder

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference19 articles.

1. Elek Z, Németh N, Nagy G, Németh H, Somogyi A, Hosszufalusi N, Székely SM, Rónai Z (2015) Micro-RNA binding site polymorphisms in the WFS1 gene are risk factors of diabetes mellitus. PLoS ONE 10(11):e0139519. https://doi.org/10.1371/journal.pone.0139519

2. Lal A, Dave N, Barry MA, Sood A, Mitchell P, Thiagalingam A (2022) A stronger association of diabetes mellitus with impaired hyperaemia using a novel ECG-gated device compared with peripheral arterial tonometry. Int Ophthalmol 42(10):2855–2869. https://doi.org/10.1007/s10792-022-02276-8

3. Liu J, Ren Z, Qiang H, Wu J, Shen M, Zhang L, Lyu J (2020) Trends in the incidence of diabetes mellitus: results from the Global Burden of Disease Study 2017 and implications for diabetes mellitus prevention. BMC Public Health 20:1415. https://doi.org/10.1186/s12889-020-09502-x

4. Hahad O, Wild SP, Prochaska HJ, Schulz A, Hermanns I, Lackner JK, Pfeiffer N, Schmidtmann I, Beutel M, Gori T, Deanfield EJ, Münzel T (2019) Endothelial function assessed by digital volume plethysmography predicts the development and progression of type 2 diabetes mellitus. J Am Heart Assoc 8(20):e012509. https://doi.org/10.1161/JAHA.119.012509

5. Dong W, Tse EYT, Mak IL, Wong HKC, Wan EFY, Tang EMH, Chin YW, Bedford EL, Yu ETY, Ko WKW, Chao DKV, Tan KBC, Lam CK (2022) Non-laboratory-based risk assessment model for case detection of diabetes mellitus and pre-diabetes in primary care. J Diabetes Investig 13(9):1374–1386. https://doi.org/10.1111/jdi.13790

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