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For: Lee BJ, Kim JY. Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning. IEEE J Biomed Health Inform 2015;20:39-46. [PMID: 25675467 DOI: 10.1109/jbhi.2015.2396520] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Number Cited by Other Article(s)
1
Lee BJ, Kim JU, Lee S. Association of menopausal status with body composition and anthropometric indices in Korean women. PLoS One 2024;19:e0298212. [PMID: 38768131 PMCID: PMC11104629 DOI: 10.1371/journal.pone.0298212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 01/21/2024] [Indexed: 05/22/2024]  Open
2
Ziad E, Sadat S, Farzadfar F, Malekpour MR. Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran. BioData Min 2023;16:29. [PMID: 37864248 PMCID: PMC10588025 DOI: 10.1186/s13040-023-00344-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/20/2023] [Indexed: 10/22/2023]  Open
3
Prasad BVVS, Gupta S, Borah N, Dineshkumar R, Lautre HK, Mouleswararao B. Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach. Prev Med 2023;174:107619. [PMID: 37451552 DOI: 10.1016/j.ypmed.2023.107619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 07/03/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023]
4
Wu Y, Min H, Li M, Shi Y, Ma A, Han Y, Gan Y, Guo X, Sun X. Effect of Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) for Type 2 diabetes self-management: protocol for a mixed-methods study. BMC Public Health 2023;23:1325. [PMID: 37434126 DOI: 10.1186/s12889-023-16066-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/06/2023] [Indexed: 07/13/2023]  Open
5
Lone IM, Midlej K, Nun NB, Iraqi FA. Intestinal cancer development in response to oral infection with high-fat diet-induced Type 2 diabetes (T2D) in collaborative cross mice under different host genetic background effects. Mamm Genome 2023;34:56-75. [PMID: 36757430 DOI: 10.1007/s00335-023-09979-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 01/20/2023] [Indexed: 02/10/2023]
6
Parveen H, Rizvi SWA, Shukla PK. Disease risk level prediction based on knowledge driven optimized deep ensemble framework. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.103991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
7
Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022;2022:4451792. [PMID: 35875742 PMCID: PMC9303104 DOI: 10.1155/2022/4451792] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 06/24/2022] [Indexed: 11/18/2022]
8
Assessment of the risk factors of type II diabetes using ACO with self-regulative update function and decision trees by evaluation from Fisher’s Z-transformation. Med Biol Eng Comput 2022;60:1391-1415. [DOI: 10.1007/s11517-022-02530-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 02/13/2022] [Indexed: 11/25/2022]
9
Rajesh N., Irudayasamy A, Mohideen MSK, Ranjith CP. Classification of Vital Genetic Syndromes Associated With Diabetes Using ANN-Based CapsNet Approach. INTERNATIONAL JOURNAL OF E-COLLABORATION 2022. [DOI: 10.4018/ijec.307133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
10
Tuppad A, Patil SD. Machine learning for diabetes clinical decision support: a review. ADVANCES IN COMPUTATIONAL INTELLIGENCE 2022;2:22. [PMID: 35434723 PMCID: PMC9006199 DOI: 10.1007/s43674-022-00034-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 02/27/2022] [Accepted: 03/03/2022] [Indexed: 12/14/2022]
11
A Novel Approach for Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022;2022:3820360. [PMID: 35463255 PMCID: PMC9033325 DOI: 10.1155/2022/3820360] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/12/2022] [Accepted: 03/19/2022] [Indexed: 01/12/2023]
12
Li Y, He Y, Yang L, Liu Q, Li C, Wang Y, Yang P, Wang J, Chen Z, Huang X. Body Roundness Index and Waist–Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study. Front Nutr 2022;9:801582. [PMID: 35360688 PMCID: PMC8960742 DOI: 10.3389/fnut.2022.801582] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/04/2022] [Indexed: 12/29/2022]  Open
13
Liao H, Zhang X, Zhao C, Chen Y, Zeng X, Li H. LightGBM: an efficient and accurate method for predicting pregnancy diseases. J OBSTET GYNAECOL 2021;42:620-629. [PMID: 34392771 DOI: 10.1080/01443615.2021.1945006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
14
Lee BJ, Yim MH. Comparison of anthropometric and body composition indices in the identification of metabolic risk factors. Sci Rep 2021;11:9931. [PMID: 33976292 PMCID: PMC8113511 DOI: 10.1038/s41598-021-89422-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 04/26/2021] [Indexed: 02/07/2023]  Open
15
Jia XJ, Wang JX, Bai LW, Hua TS, Han ZH, Lu Q. The relationship between hypertriglyceridemic waist circumference phenotype and gestational diabetes mellitus. Gynecol Endocrinol 2021;37:328-331. [PMID: 33487087 DOI: 10.1080/09513590.2021.1875428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]  Open
16
Kanimozhi N, Singaravel G. Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model. Med Biol Eng Comput 2021;59:841-867. [PMID: 33738640 DOI: 10.1007/s11517-021-02333-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 02/03/2021] [Indexed: 10/21/2022]
17
Ylenia C, Lauri Chiara D, Giovanni I, Lucia R, Donatella V, Tiziana S, Vincenzo G, Ciro V, Stefania S. A Clinical Decision Support System based on fuzzy rules and classification algorithms for monitoring the physiological parameters of type-2 diabetic patients. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2021;18:2653-2674. [PMID: 33892565 DOI: 10.3934/mbe.2021135] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
18
Sheik Abdullah A, Selvakumar S, Venkatesh M. Assessment and evaluation of CHD risk factors using weighted ranked correlation and regression with data classification. Soft comput 2021. [DOI: 10.1007/s00500-021-05663-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
19
Wu Y, Hu H, Cai J, Chen R, Zuo X, Cheng H, Yan D. Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults. Front Public Health 2021;9:626331. [PMID: 34268283 PMCID: PMC8275929 DOI: 10.3389/fpubh.2021.626331] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 05/21/2021] [Indexed: 02/05/2023]  Open
20
Artificial Neural Networks Model for Predicting Type 2 Diabetes Mellitus Based on VDR Gene FokI Polymorphism, Lipid Profile and Demographic Data. BIOLOGY 2020;9:biology9080222. [PMID: 32823649 PMCID: PMC7465516 DOI: 10.3390/biology9080222] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/04/2020] [Accepted: 08/10/2020] [Indexed: 01/06/2023]
21
Del Parigi A, Tang W, Liu D, Lee C, Pratley R. Machine Learning to Identify Predictors of Glycemic Control in Type 2 Diabetes: An Analysis of Target HbA1c Reduction Using Empagliflozin/Linagliptin Data. Pharmaceut Med 2020;33:209-217. [PMID: 31933292 DOI: 10.1007/s40290-019-00281-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
22
Marimuthu P, Perumal V, Vijayakumar V. Intelligent Personalized Abnormality Detection for Remote Health Monitoring. INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES 2020. [DOI: 10.4018/ijiit.2020040105] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
23
Lee BJ, Kim JY. Identification of metabolic syndrome using phenotypes consisting of triglyceride levels with anthropometric indices in Korean adults. BMC Endocr Disord 2020;20:29. [PMID: 32103744 PMCID: PMC7045372 DOI: 10.1186/s12902-020-0510-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 02/19/2020] [Indexed: 12/29/2022]  Open
24
Liu PJ, Lou HP, Zhu YN. Screening for Metabolic Syndrome Using an Integrated Continuous Index Consisting of Waist Circumference and Triglyceride: A Preliminary Cross-sectional Study. Diabetes Metab Syndr Obes 2020;13:2899-2907. [PMID: 32884316 PMCID: PMC7443454 DOI: 10.2147/dmso.s259770] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/29/2020] [Indexed: 01/21/2023]  Open
25
Xu M, Huang M, Qiang D, Gu J, Li Y, Pan Y, Yao X, Xu W, Tao Y, Zhou Y, Ma H. Hypertriglyceridemic Waist Phenotype and Lipid Accumulation Product: Two Comprehensive Obese Indicators of Waist Circumference and Triglyceride to Predict Type 2 Diabetes Mellitus in Chinese Population. J Diabetes Res 2020;2020:9157430. [PMID: 33344653 PMCID: PMC7725575 DOI: 10.1155/2020/9157430] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/23/2020] [Accepted: 11/19/2020] [Indexed: 12/12/2022]  Open
26
Abhari S, Niakan Kalhori SR, Ebrahimi M, Hasannejadasl H, Garavand A. Artificial Intelligence Applications in Type 2 Diabetes Mellitus Care: Focus on Machine Learning Methods. Healthc Inform Res 2019;25:248-261. [PMID: 31777668 PMCID: PMC6859270 DOI: 10.4258/hir.2019.25.4.248] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 10/06/2019] [Accepted: 10/09/2019] [Indexed: 12/18/2022]  Open
27
Chi JH, Shin MS, Lee BJ. Association of type 2 diabetes with anthropometrics, bone mineral density, and body composition in a large-scale screening study of Korean adults. PLoS One 2019;14:e0220077. [PMID: 31339947 PMCID: PMC6656355 DOI: 10.1371/journal.pone.0220077] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 07/07/2019] [Indexed: 12/12/2022]  Open
28
Ma CM, Liu XL, Lu N, Wang R, Lu Q, Yin FZ. Hypertriglyceridemic waist phenotype and abnormal glucose metabolism: a system review and meta-analysis. Endocrine 2019;64:469-485. [PMID: 31065910 DOI: 10.1007/s12020-019-01945-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 04/29/2019] [Indexed: 01/18/2023]
29
Sun S, Sun F, Wang Y. Multi-Level Comparative Framework Based on Gene Pair-Wise Expression Across Three Insulin Target Tissues for Type 2 Diabetes. Front Genet 2019;10:252. [PMID: 30972105 PMCID: PMC6443994 DOI: 10.3389/fgene.2019.00252] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 03/06/2019] [Indexed: 11/30/2022]  Open
30
Choudhury A, Gupta D. A Survey on Medical Diagnosis of Diabetes Using Machine Learning Techniques. ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING 2019. [DOI: 10.1007/978-981-13-1280-9_6] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
31
Zou Q, Qu K, Luo Y, Yin D, Ju Y, Tang H. Predicting Diabetes Mellitus With Machine Learning Techniques. Front Genet 2018;9:515. [PMID: 30459809 PMCID: PMC6232260 DOI: 10.3389/fgene.2018.00515] [Citation(s) in RCA: 188] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 10/12/2018] [Indexed: 12/30/2022]  Open
32
Sheik Abdullah A, Selvakumar S. Assessment of the risk factors for type II diabetes using an improved combination of particle swarm optimization and decision trees by evaluation with Fisher’s linear discriminant analysis. Soft comput 2018. [DOI: 10.1007/s00500-018-3555-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
33
Kim YJ, Hwang HR. Clustering Effects of Metabolic Factors and the Risk of Metabolic Syndrome. J Obes Metab Syndr 2018;27:166-174. [PMID: 31089559 PMCID: PMC6504198 DOI: 10.7570/jomes.2018.27.3.166] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 07/17/2018] [Accepted: 09/06/2018] [Indexed: 12/29/2022]  Open
34
Lee BJ, Ku B. A comparison of trunk circumference and width indices for hypertension and type 2 diabetes in a large-scale screening: a retrospective cross-sectional study. Sci Rep 2018;8:13284. [PMID: 30185890 PMCID: PMC6125465 DOI: 10.1038/s41598-018-31624-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 08/21/2018] [Indexed: 12/14/2022]  Open
35
Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications. SUSTAINABILITY 2017. [DOI: 10.3390/su9122309] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
36
Kavakiotis I, Tsave O, Salifoglou A, Maglaveras N, Vlahavas I, Chouvarda I. Machine Learning and Data Mining Methods in Diabetes Research. Comput Struct Biotechnol J 2017;15:104-116. [PMID: 28138367 PMCID: PMC5257026 DOI: 10.1016/j.csbj.2016.12.005] [Citation(s) in RCA: 355] [Impact Index Per Article: 50.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 12/20/2016] [Accepted: 12/27/2016] [Indexed: 12/14/2022]  Open
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