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 *

128 related articles for article (PubMed ID: 37269570)

  • 1. A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization.
    Fanconi C; de Hond A; Peterson D; Capodici A; Hernandez-Boussard T
    EBioMedicine; 2023 Jun; 92():104632. PubMed ID: 37269570
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
    Corey KM; Kashyap S; Lorenzi E; Lagoo-Deenadayalan SA; Heller K; Whalen K; Balu S; Heflin MT; McDonald SR; Swaminathan M; Sendak M
    PLoS Med; 2018 Nov; 15(11):e1002701. PubMed ID: 30481172
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.
    Jovanovic M; Radovanovic S; Vukicevic M; Van Poucke S; Delibasic B
    Artif Intell Med; 2016 Sep; 72():12-21. PubMed ID: 27664505
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Machine Learning Applied to Electronic Health Records: Identification of Chemotherapy Patients at High Risk for Preventable Emergency Department Visits and Hospital Admissions.
    Peterson DJ; Ostberg NP; Blayney DW; Brooks JD; Hernandez-Boussard T
    JCO Clin Cancer Inform; 2021 Oct; 5():1106-1126. PubMed ID: 34752139
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network.
    Penny-Dimri JC; Bergmeir C; Reid CM; Williams-Spence J; Cochrane AD; Smith JA
    PLoS One; 2023; 18(8):e0289930. PubMed ID: 37647308
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian averaging over Decision Tree models for trauma severity scoring.
    Schetinin V; Jakaite L; Krzanowski W
    Artif Intell Med; 2018 Jan; 84():139-145. PubMed ID: 29275896
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine Learning.
    Eberhard BW; Cohen RY; Rigoni J; Bates DW; Gray KJ; Kovacheva VP
    medRxiv; 2023 Aug; ():. PubMed ID: 37645797
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network Analysis.
    Zador Z; Sperrin M; King AT
    PLoS One; 2016; 11(7):e0158762. PubMed ID: 27388421
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine learning models to predict in-hospital mortality in septic patients with diabetes.
    Qi J; Lei J; Li N; Huang D; Liu H; Zhou K; Dai Z; Sun C
    Front Endocrinol (Lausanne); 2022; 13():1034251. PubMed ID: 36465642
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data.
    Tian T; Kong F; Yang R; Long X; Chen L; Li M; Li Q; Hao Y; He Y; Zhang Y; Li R; Wang Y; Qiao J
    Reprod Biol Endocrinol; 2023 Jan; 21(1):8. PubMed ID: 36703171
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation.
    Liu X; Hu P; Yeung W; Zhang Z; Ho V; Liu C; Dumontier C; Thoral PJ; Mao Z; Cao D; Mark RG; Zhang Z; Feng M; Li D; Celi LA
    Lancet Digit Health; 2023 Oct; 5(10):e657-e667. PubMed ID: 37599147
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.
    Wang Q; Li B; Chen K; Yu F; Su H; Hu K; Liu Z; Wu G; Yan J; Su G
    ESC Heart Fail; 2021 Dec; 8(6):5363-5371. PubMed ID: 34585531
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian parametric models for survival prediction in medical applications.
    Paolucci I; Lin YM; Albuquerque Marques Silva J; Brock KK; Odisio BC
    BMC Med Res Methodol; 2023 Oct; 23(1):250. PubMed ID: 37884857
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian averaging over decision tree models: An application for estimating uncertainty in trauma severity scoring.
    Schetinin V; Jakaite L; Krzanowski W
    Int J Med Inform; 2018 Apr; 112():6-14. PubMed ID: 29500023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development, Validation, and Evaluation of a Simple Machine Learning Model to Predict Cirrhosis Mortality.
    Kanwal F; Taylor TJ; Kramer JR; Cao Y; Smith D; Gifford AL; El-Serag HB; Naik AD; Asch SM
    JAMA Netw Open; 2020 Nov; 3(11):e2023780. PubMed ID: 33141161
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Use of electronic health record data and machine learning to identify candidates for HIV pre-exposure prophylaxis: a modelling study.
    Marcus JL; Hurley LB; Krakower DS; Alexeeff S; Silverberg MJ; Volk JE
    Lancet HIV; 2019 Oct; 6(10):e688-e695. PubMed ID: 31285183
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.