BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 38711068)

  • 1. The predictive accuracy of machine learning for the risk of death in HIV patients: a systematic review and meta-analysis.
    Li Y; Feng Y; He Q; Ni Z; Hu X; Feng X; Ni M
    BMC Infect Dis; 2024 May; 24(1):474. PubMed ID: 38711068
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis.
    Zhang Y; Xu W; Yang P; Zhang A
    BMC Med Inform Decis Mak; 2023 Dec; 23(1):283. PubMed ID: 38082381
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive value of machine learning for the severity of acute pancreatitis: A systematic review and meta-analysis.
    Qian R; Zhuang J; Xie J; Cheng H; Ou H; Lu X; Ouyang Z
    Heliyon; 2024 Apr; 10(8):e29603. PubMed ID: 38655348
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.
    Arina P; Kaczorek MR; Hofmaenner DA; Pisciotta W; Refinetti P; Singer M; Mazomenos EB; Whittle J
    Anesthesiology; 2024 Jan; 140(1):85-101. PubMed ID: 37944114
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.
    Lu D; Long X; Fu W; Liu B; Zhou X; Sun S
    J Cancer Res Clin Oncol; 2023 Sep; 149(12):10659-10674. PubMed ID: 37302114
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis.
    Zhang X; Wang X; Xu L; Liu J; Ren P; Wu H
    Eur J Med Res; 2023 Oct; 28(1):451. PubMed ID: 37864271
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictive Value of Machine Learning Models in Postoperative Mortality of Older Adults Patients with Hip Fracture: A Systematic Review and Meta-analysis.
    Liu F; Liu C; Tang X; Gong D; Zhu J; Zhang X
    Arch Gerontol Geriatr; 2023 Dec; 115():105120. PubMed ID: 37473692
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis.
    Wang J; Yin MJ; Wen HC
    BMC Med Inform Decis Mak; 2023 Jul; 23(1):142. PubMed ID: 37507752
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis.
    Wang Q; Chang Z; Liu X; Wang Y; Feng C; Ping Y; Feng X
    J Med Internet Res; 2024 Jan; 26():e48527. PubMed ID: 38252469
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery.
    Vernooij LM; van Klei WA; Moons KG; Takada T; van Waes J; Damen JA
    Cochrane Database Syst Rev; 2021 Dec; 12(12):CD013139. PubMed ID: 34931303
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictive value of machine learning for the risk of acute kidney injury (AKI) in hospital intensive care units (ICU) patients: a systematic review and meta-analysis.
    Du YH; Guan CJ; Li LY; Gan P
    PeerJ; 2023; 11():e16405. PubMed ID: 38034868
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review.
    Gao Y; Li S; Jin Y; Zhou L; Sun S; Xu X; Li S; Yang H; Zhang Q; Wang Y
    JMIR Public Health Surveill; 2022 Dec; 8(12):e35750. PubMed ID: 36426919
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis.
    Feng J; Zhang Q; Wu F; Peng J; Li Z; Chen Z
    J Med Internet Res; 2023 Oct; 25():e44895. PubMed ID: 37824198
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The value of machine learning in preoperative identification of lymph node metastasis status in endometrial cancer: a systematic review and meta-analysis.
    Ren Z; Chen B; Hong C; Yuan J; Deng J; Chen Y; Ye J; Li Y
    Front Oncol; 2023; 13():1289050. PubMed ID: 38173835
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review.
    Kusuma K; Larsen M; Quiroz JC; Gillies M; Burnett A; Qian J; Torok M
    J Psychiatr Res; 2022 Nov; 155():579-588. PubMed ID: 36206602
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis.
    Li J; Dan K; Ai J
    Front Immunol; 2024; 15():1281940. PubMed ID: 38835779
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysis.
    Yang Z; Cui X; Song Z
    BMC Infect Dis; 2023 Sep; 23(1):635. PubMed ID: 37759175
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis.
    Chowdhury MZI; Naeem I; Quan H; Leung AA; Sikdar KC; O'Beirne M; Turin TC
    PLoS One; 2022; 17(4):e0266334. PubMed ID: 35390039
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predictive accuracy of machine learning for radiation-induced temporal lobe injury in nasopharyngeal carcinoma patients: a systematic review and meta-analysis.
    Li Y; Gong F; Guo Y; Ng WT; Mejia MBA; Nei WL; Wang C; Jin Z
    Transl Cancer Res; 2023 Sep; 12(9):2361-2370. PubMed ID: 37859745
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.