BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

205 related articles for article (PubMed ID: 38134648)

  • 1. Machine learning for hospital readmission prediction in pediatric population.
    Silva NCD; Albertini MK; Backes AR; Pena GDG
    Comput Methods Programs Biomed; 2024 Feb; 244():107980. PubMed ID: 38134648
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database.
    Huang Y; Talwar A; Lin Y; Aparasu RR
    BMC Med Inform Decis Mak; 2022 Nov; 22(1):288. PubMed ID: 36352392
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validation of the HOSPITAL score as predictor of 30-day potentially avoidable readmissions in pediatric hospitalized population: retrospective cohort study.
    da Silva NC; Albertini MK; Backes AR; das Graças Pena G
    Eur J Pediatr; 2023 Apr; 182(4):1579-1585. PubMed ID: 36693994
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms.
    Lo YT; Liao JC; Chen MH; Chang CM; Li CT
    BMC Med Inform Decis Mak; 2021 Oct; 21(1):288. PubMed ID: 34670553
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients.
    Welvaars K; van den Bekerom MPJ; Doornberg JN; van Haarst EP;
    BMC Med Inform Decis Mak; 2023 Jun; 23(1):108. PubMed ID: 37312177
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients.
    Darabi N; Hosseinichimeh N; Noto A; Zand R; Abedi V
    Front Neurol; 2021; 12():638267. PubMed ID: 33868147
    [No Abstract]   [Full Text] [Related]  

  • 7. Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.
    Shah AA; Devana SK; Lee C; Bugarin A; Lord EL; Shamie AN; Park DY; van der Schaar M; SooHoo NF
    World Neurosurg; 2021 Aug; 152():e227-e234. PubMed ID: 34058366
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study.
    Ru B; Tan X; Liu Y; Kannapur K; Ramanan D; Kessler G; Lautsch D; Fonarow G
    JMIR Form Res; 2023 Apr; 7():e41775. PubMed ID: 37067873
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning and LACE index for predicting 30-day readmissions after heart failure hospitalization in elderly patients.
    Polo Friz H; Esposito V; Marano G; Primitz L; Bovio A; Delgrossi G; Bombelli M; Grignaffini G; Monza G; Boracchi P
    Intern Emerg Med; 2022 Sep; 17(6):1727-1737. PubMed ID: 35661313
    [TBL] [Abstract][Full Text] [Related]  

  • 11. How Good Is Machine Learning in Predicting All-Cause 30-Day Hospital Readmission? Evidence From Administrative Data.
    Li Q; Yao X; Échevin D
    Value Health; 2020 Oct; 23(10):1307-1315. PubMed ID: 33032774
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extreme Gradient Boosting Model Has a Better Performance in Predicting the Risk of 90-Day Readmissions in Patients with Ischaemic Stroke.
    Xu Y; Yang X; Huang H; Peng C; Ge Y; Wu H; Wang J; Xiong G; Yi Y
    J Stroke Cerebrovasc Dis; 2019 Dec; 28(12):104441. PubMed ID: 31627995
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Factors Associated With 30-day Readmissions After Posterior Lumbar Fusion Using Machine Learning and Traditional Models: A National Longitudinal Database Study.
    Rezaii PG; Herrick D; Ratliff JK; Rusu M; Scheinker D; Desai AM
    Spine (Phila Pa 1976); 2023 Sep; 48(17):1224-1233. PubMed ID: 37027190
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning on Medicare Claims Poorly Predicts the Individual Risk of 30-Day Unplanned Readmission After Total Joint Arthroplasty, Yet Uncovers Interesting Population-level Associations With Annual Procedure Volumes.
    Kunze KN; So MM; Padgett DE; Lyman S; MacLean CH; Fontana MA
    Clin Orthop Relat Res; 2023 Sep; 481(9):1745-1759. PubMed ID: 37256278
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis].
    Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study.
    Liu J; Chen J; Dong Y; Lou Y; Tian Y; Sun H; Jin Y; Li J; Qiu Y
    J Med Internet Res; 2023 Dec; 25():e45515. PubMed ID: 38109177
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning constructs a diagnostic prediction model for calculous pyonephrosis.
    Yang B; Zhong J; Yang Y; Xu J; Liu H; Liu J
    Urolithiasis; 2024 Jun; 52(1):96. PubMed ID: 38896174
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.
    Morel D; Yu KC; Liu-Ferrara A; Caceres-Suriel AJ; Kurtz SG; Tabak YP
    Int J Med Inform; 2020 Jul; 139():104136. PubMed ID: 32353752
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.