BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

303 related articles for article (PubMed ID: 36572938)

  • 1. Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review.
    Afsaneh E; Sharifdini A; Ghazzaghi H; Ghobadi MZ
    Diabetol Metab Syndr; 2022 Dec; 14(1):196. PubMed ID: 36572938
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.
    Olisah CC; Smith L; Smith M
    Comput Methods Programs Biomed; 2022 Jun; 220():106773. PubMed ID: 35429810
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes.
    Woldaregay AZ; Årsand E; Botsis T; Albers D; Mamykina L; Hartvigsen G
    J Med Internet Res; 2019 May; 21(5):e11030. PubMed ID: 31042157
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Review of Statistical and Machine Learning Techniques for Microvascular Complications in Type 2 Diabetes.
    Sambyal N; Saini P; Syal R
    Curr Diabetes Rev; 2021; 17(2):143-155. PubMed ID: 32389114
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
    Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
    Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review.
    Zanelli S; Ammi M; Hallab M; El Yacoubi MA
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808386
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Novel Extra Tree Ensemble Optimized DL Framework (ETEODL) for Early Detection of Diabetes.
    Arya M; Sastry G H; Motwani A; Kumar S; Zaguia A
    Front Public Health; 2021; 9():797877. PubMed ID: 35242738
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Blood Glucose Level Prediction: Advanced Deep-Ensemble Learning Approach.
    Nemat H; Khadem H; Eissa MR; Elliott J; Benaissa M
    IEEE J Biomed Health Inform; 2022 Jun; 26(6):2758-2769. PubMed ID: 35077372
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning for Diabetes: A Systematic Review.
    Zhu T; Li K; Herrero P; Georgiou P
    IEEE J Biomed Health Inform; 2021 Jul; 25(7):2744-2757. PubMed ID: 33232247
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches.
    Ganie SM; Malik MB; Arif T
    J Diabetes Metab Disord; 2022 Jun; 21(1):339-352. PubMed ID: 35673418
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning.
    Zhu T; Li K; Herrero P; Georgiou P
    IEEE Trans Biomed Eng; 2023 Jan; 70(1):193-204. PubMed ID: 35776825
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A survey on diabetes risk prediction using machine learning approaches.
    Firdous S; Wagai GA; Sharma K
    J Family Med Prim Care; 2022 Nov; 11(11):6929-6934. PubMed ID: 36993028
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review.
    Triantafyllidis A; Kondylakis H; Katehakis D; Kouroubali A; Koumakis L; Marias K; Alexiadis A; Votis K; Tzovaras D
    JMIR Mhealth Uhealth; 2022 Apr; 10(4):e32344. PubMed ID: 35377325
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods.
    Muneeb M; Henschel A
    BMC Bioinformatics; 2021 Apr; 22(1):198. PubMed ID: 33874881
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Effectiveness of Motivational Interviewing on Glycemic Control for Adults with Type 2 Diabetes Mellitus (DM2): A Systematic Review.
    Concert CM; Burke RE; Eusebio AM; Slavin EA; Shortridge-Baggett LM
    JBI Libr Syst Rev; 2012; 10(42 Suppl):1-17. PubMed ID: 27820150
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multivariate Models of Blood Glucose Prediction in Type1 Diabetes: A Survey of the State-of-the-art.
    Arora S; Kumar S; Kumar P
    Curr Pharm Biotechnol; 2023; 24(4):532-552. PubMed ID: 35657050
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.
    Oviedo S; Contreras I; Bertachi A; Quirós C; Giménez M; Conget I; Vehi J
    Comput Methods Programs Biomed; 2019 Sep; 178():175-180. PubMed ID: 31416546
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques.
    Krishnamoorthi R; Joshi S; Almarzouki HZ; Shukla PK; Rizwan A; Kalpana C; Tiwari B
    J Healthc Eng; 2022; 2022():1684017. PubMed ID: 35070225
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions.
    Nadeem MW; Goh HG; Hussain M; Liew SY; Andonovic I; Khan MA
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146130
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.