These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 37225754)

  • 1. Predicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning.
    Alimbayev A; Zhakhina G; Gusmanov A; Sakko Y; Yerdessov S; Arupzhanov I; Kashkynbayev A; Zollanvari A; Gaipov A
    Sci Rep; 2023 May; 13(1):8412. PubMed ID: 37225754
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning-based models to predict one-year mortality among Chinese older patients with coronary artery disease combined with impaired glucose tolerance or diabetes mellitus.
    Li Y; Guan L; Ning C; Zhang P; Zhao Y; Liu Q; Ping P; Fu S
    Cardiovasc Diabetol; 2023 Jun; 22(1):139. PubMed ID: 37316853
    [TBL] [Abstract][Full Text] [Related]  

  • 3. COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework.
    Khadem H; Nemat H; Eissa MR; Elliott J; Benaissa M
    Comput Biol Med; 2022 May; 144():105361. PubMed ID: 35255295
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
    Dinh A; Miertschin S; Young A; Mohanty SD
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study.
    Shi Y; Ma L; Chen X; Li W; Feng Y; Zhang Y; Cao Z; Yuan Y; Xie Y; Liu H; Yin L; Zhao C; Wu S; Ren X
    Front Cardiovasc Med; 2022; 9():1042996. PubMed ID: 36545020
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases.
    Peng S; Huang J; Liu X; Deng J; Sun C; Tang J; Chen H; Cao W; Wang W; Duan X; Luo X; Peng S
    Front Cardiovasc Med; 2022; 9():994359. PubMed ID: 36312291
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease.
    Shi H; Yang D; Tang K; Hu C; Li L; Zhang L; Gong T; Cui Y
    Clin Nutr; 2022 Jan; 41(1):202-210. PubMed ID: 34906845
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
    Ye Z; An S; Gao Y; Xie E; Zhao X; Guo Z; Li Y; Shen N; Ren J; Zheng J
    Eur J Med Res; 2023 Jan; 28(1):33. PubMed ID: 36653875
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Novel Composite Indicator of Predicting Mortality Risk for Heart Failure Patients With Diabetes Admitted to Intensive Care Unit Based on Machine Learning.
    Yang B; Zhu Y; Lu X; Shen C
    Front Endocrinol (Lausanne); 2022; 13():917838. PubMed ID: 35846312
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
    Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
    JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning-based identification and related features of depression in patients with diabetes mellitus based on the Korea National Health and Nutrition Examination Survey: A cross-sectional study.
    Lee JY; Won D; Lee K
    PLoS One; 2023; 18(7):e0288648. PubMed ID: 37440591
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Explainable machine learning model to predict refeeding hypophosphatemia.
    Choi TY; Chang MY; Heo S; Jang JY
    Clin Nutr ESPEN; 2021 Oct; 45():213-219. PubMed ID: 34620320
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study.
    Li J; Liu S; Hu Y; Zhu L; Mao Y; Liu J
    J Med Internet Res; 2022 Aug; 24(8):e38082. PubMed ID: 35943767
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An explainable machine learning model for predicting in-hospital amputation rate of patients with diabetic foot ulcer.
    Xie P; Li Y; Deng B; Du C; Rui S; Deng W; Wang M; Boey J; Armstrong DG; Ma Y; Deng W
    Int Wound J; 2022 May; 19(4):910-918. PubMed ID: 34520110
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting the onset of diabetes-related complications after a diabetes diagnosis with machine learning algorithms.
    Mora T; Roche D; Rodríguez-Sánchez B
    Diabetes Res Clin Pract; 2023 Oct; 204():110910. PubMed ID: 37722566
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tailored machine learning for evaluating the long-term diabetes risk in older individuals: findings from the Irish Longitudinal Study on Ageing (TILDA).
    Xu X; Mingyang X; Yang J; Zheng H; Che Z
    BMJ Open; 2023 May; 13(5):e072991. PubMed ID: 37253496
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.
    Huang T; Le D; Yuan L; Xu S; Peng X
    PLoS One; 2023; 18(1):e0280606. PubMed ID: 36701342
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Epidemiology of type 1 and type 2 diabetes mellitus in Kazakhstan: data from unified National Electronic Health System 2014-2019.
    Galiyeva D; Gusmanov A; Sakko Y; Issanov A; Atageldiyeva K; Kadyrzhanuly K; Nurpeissova A; Rakhimzhanova M; Durmanova A; Sarria-Santamera A; Gaipov A
    BMC Endocr Disord; 2022 Nov; 22(1):275. PubMed ID: 36368961
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.