101 related articles for article (PubMed ID: 35936376)
1. Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression.
Qian D; Gao H
Comput Math Methods Med; 2022; 2022():3882425. PubMed ID: 35936376
[TBL] [Abstract][Full Text] [Related]
2. Report of the Committee on the classification and diagnostic criteria of diabetes mellitus.
Kuzuya T; Nakagawa S; Satoh J; Kanazawa Y; Iwamoto Y; Kobayashi M; Nanjo K; Sasaki A; Seino Y; Ito C; Shima K; Nonaka K; Kadowaki T;
Diabetes Res Clin Pract; 2002 Jan; 55(1):65-85. PubMed ID: 11755481
[TBL] [Abstract][Full Text] [Related]
3. Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes.
Fu X; Wang Y; Cates RS; Li N; Liu J; Ke D; Liu J; Liu H; Yan S
Front Endocrinol (Lausanne); 2022; 13():1061507. PubMed ID: 36743935
[TBL] [Abstract][Full Text] [Related]
4. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
5. [The role of diabetes mellitus as a risk factor of acute myocardial infarction].
Peng XR; Zhao YF; Zou DJ; Gu P
Zhongguo Wei Zhong Bing Ji Jiu Yi Xue; 2011 Jun; 23(6):322-8. PubMed ID: 21672377
[TBL] [Abstract][Full Text] [Related]
6. Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease.
Zou Y; Zhao L; Zhang J; Wang Y; Wu Y; Ren H; Wang T; Zhang R; Wang J; Zhao Y; Qin C; Xu H; Li L; Chai Z; Cooper ME; Tong N; Liu F
Ren Fail; 2022 Dec; 44(1):562-570. PubMed ID: 35373711
[TBL] [Abstract][Full Text] [Related]
7. Environmental chemical exposure dynamics and machine learning-based prediction of diabetes mellitus.
Wei H; Sun J; Shan W; Xiao W; Wang B; Ma X; Hu W; Wang X; Xia Y
Sci Total Environ; 2022 Feb; 806(Pt 2):150674. PubMed ID: 34597539
[TBL] [Abstract][Full Text] [Related]
8. Screening for diabetes mellitus--a two-step approach in individuals with impaired fasting glucose improves detection of those at risk of complications.
Tai ES; Lim SC; Tan BY; Chew SK; Heng D; Tan CE
Diabet Med; 2000 Nov; 17(11):771-5. PubMed ID: 11131101
[TBL] [Abstract][Full Text] [Related]
9. Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.
Chen SD; You J; Yang XM; Gu HQ; Huang XY; Liu H; Feng JF; Jiang Y; Wang YJ
BMC Med Res Methodol; 2022 Jul; 22(1):195. PubMed ID: 35842606
[TBL] [Abstract][Full Text] [Related]
10. Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis.
Hong W; Lu Y; Zhou X; Jin S; Pan J; Lin Q; Yang S; Basharat Z; Zippi M; Goyal H
Front Cell Infect Microbiol; 2022; 12():893294. PubMed ID: 35755843
[TBL] [Abstract][Full Text] [Related]
11. A unified Hyperglycemia and Diabetic ketoacidosis (DKA) insulin infusion protocol based on an Excel algorithm and implemented via Electronic Medical Record (EMR) in Intensive Care Units.
Gupta D; Kirn M; Jamkhana ZA; Lee R; Albert SG; Rollins KM
Diabetes Metab Syndr; 2017; 11(4):265-271. PubMed ID: 27658894
[TBL] [Abstract][Full Text] [Related]
12. Improving blood glucose level predictability using machine learning.
Marcus Y; Eldor R; Yaron M; Shaklai S; Ish-Shalom M; Shefer G; Stern N; Golan N; Dvir AZ; Pele O; Gonen M
Diabetes Metab Res Rev; 2020 Nov; 36(8):e3348. PubMed ID: 32445286
[TBL] [Abstract][Full Text] [Related]
13. Validity of Machine Learning in Predicting Giant Cell Arteritis Flare After Glucocorticoids Tapering.
Venerito V; Emmi G; Cantarini L; Leccese P; Fornaro M; Fabiani C; Lascaro N; Coladonato L; Mattioli I; Righetti G; Malandrino D; Tangaro S; Palermo A; Urban ML; Conticini E; Frediani B; Iannone F; Lopalco G
Front Immunol; 2022; 13():860877. PubMed ID: 35450069
[TBL] [Abstract][Full Text] [Related]
14. Machine learning as new promising technique for selection of significant features in obese women with type 2 diabetes.
Lotfi H; Pirmoradi S; Mahmoudi R; Teshnehlab M; Sheervalilou R; Fekri Aval S; Zarghami N
Horm Mol Biol Clin Investig; 2020 Jan; 41(1):. PubMed ID: 31926078
[TBL] [Abstract][Full Text] [Related]
15. Structured, intensive education maximising engagement, motivation and long-term change for children and young people with diabetes: a cluster randomised controlled trial with integral process and economic evaluation - the CASCADE study.
Christie D; Thompson R; Sawtell M; Allen E; Cairns J; Smith F; Jamieson E; Hargreaves K; Ingold A; Brooks L; Wiggins M; Oliver S; Jones R; Elbourne D; Santos A; Wong IC; O'Neill S; Strange V; Hindmarsh P; Annan F; Viner R
Health Technol Assess; 2014 Mar; 18(20):1-202. PubMed ID: 24690402
[TBL] [Abstract][Full Text] [Related]
16. [The relationship between sleep quality and glucose level, diabetic complications in elderly type 2 diabetes mellitus].
Jin QH; Chen HH; Yu HL; Li TL
Zhonghua Nei Ke Za Zhi; 2012 May; 51(5):357-61. PubMed ID: 22883333
[TBL] [Abstract][Full Text] [Related]
17. Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus Among Women Population.
Alfalki AM
Curr Diabetes Rev; 2023 Jun; ():. PubMed ID: 37282643
[TBL] [Abstract][Full Text] [Related]
18. The Interplay between Fasting Glucose, Echocardiography, and Biomarkers: Pathophysiological Considerations and Prognostic Implications.
Pareek M
Dan Med J; 2017 Sep; 64(9):. PubMed ID: 28874244
[TBL] [Abstract][Full Text] [Related]
19. Stress-Induced Hyperglycemia in Diabetes: A Cross-Sectional Analysis to Explore the Definition Based on the Trauma Registry Data.
Rau CS; Wu SC; Chen YC; Chien PC; Hsieh HY; Kuo PJ; Hsieh CH
Int J Environ Res Public Health; 2017 Dec; 14(12):. PubMed ID: 29215581
[No Abstract] [Full Text] [Related]
20. Prediction Model of Bone Marrow Infiltration in Patients with Malignant Lymphoma Based on Logistic Regression and XGBoost Algorithm.
Huang Y; Chen C; Miao Y
Comput Math Methods Med; 2022; 2022():9620780. PubMed ID: 35799653
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
