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 *

172 related articles for article (PubMed ID: 38179255)

  • 1. Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence.
    Palacios-Ariza MA; Morales-Mendoza E; Murcia J; Arias-Duarte R; Lara-Castellanos G; Cely-Jiménez A; Rincón-Acuña JC; Araúzo-Bravo MJ; McDouall J
    Front Psychiatry; 2023; 14():1266548. PubMed ID: 38179255
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
    Rahimian F; Salimi-Khorshidi G; Payberah AH; Tran J; Ayala Solares R; Raimondi F; Nazarzadeh M; Canoy D; Rahimi K
    PLoS Med; 2018 Nov; 15(11):e1002695. PubMed ID: 30458006
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A Machine Learning Model for Predicting the Risk of Readmission in Community-Acquired Pneumonia.
    Aldhoayan MD; Alghamdi H; Khayat A; Rajendram R
    Cureus; 2022 Sep; 14(9):e29791. PubMed ID: 36340555
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y; Wu JY; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning applied to the prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review.
    Amanollahi M; Jameie M; Looha MA; A Basti F; Cattarinussi G; Moghaddam HS; Di Camillo F; Akhondzadeh S; Pigoni A; Sambataro F; Brambilla P; Delvecchio G
    J Affect Disord; 2024 Sep; 361():778-797. PubMed ID: 38908556
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Explainable machine-learning algorithms to differentiate bipolar disorder from major depressive disorder using self-reported symptoms, vital signs, and blood-based markers.
    Zhu T; Liu X; Wang J; Kou R; Hu Y; Yuan M; Yuan C; Luo L; Zhang W
    Comput Methods Programs Biomed; 2023 Oct; 240():107723. PubMed ID: 37480646
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 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. 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]  

  • 11. 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]  

  • 12. Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.
    Hu C; Anjur V; Saboo K; Reddy KR; O'Leary J; Tandon P; Wong F; Garcia-Tsao G; Kamath PS; Lai JC; Biggins SW; Fallon MB; Thuluvath P; Subramanian RM; Maliakkal B; Vargas H; Thacker LR; Iyer RK; Bajaj JS
    Am J Gastroenterol; 2021 Feb; 116(2):336-346. PubMed ID: 33038139
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.
    Zack CJ; Senecal C; Kinar Y; Metzger Y; Bar-Sinai Y; Widmer RJ; Lennon R; Singh M; Bell MR; Lerman A; Gulati R
    JACC Cardiovasc Interv; 2019 Jul; 12(14):1304-1311. PubMed ID: 31255564
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.
    Awan SE; Bennamoun M; Sohel F; Sanfilippo FM; Dwivedi G
    ESC Heart Fail; 2019 Apr; 6(2):428-435. PubMed ID: 30810291
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers.
    Shang Y; Jiang K; Wang L; Zhang Z; Zhou S; Liu Y; Dong J; Wu H
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):57. PubMed ID: 34330267
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation.
    Du Z; Yang Y; Zheng J; Li Q; Lin D; Li Y; Fan J; Cheng W; Chen XH; Cai Y
    JMIR Med Inform; 2020 Jul; 8(7):e17257. PubMed ID: 32628616
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A hospital wide predictive model for unplanned readmission using hierarchical ICD data.
    Deschepper M; Eeckloo K; Vogelaers D; Waegeman W
    Comput Methods Programs Biomed; 2019 May; 173():177-183. PubMed ID: 30777619
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction Models for AKI in ICU: A Comparative Study.
    Qian Q; Wu J; Wang J; Sun H; Yang L
    Int J Gen Med; 2021; 14():623-632. PubMed ID: 33664585
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis.
    Zeleke AJ; Palumbo P; Tubertini P; Miglio R; Chiari L
    Front Artif Intell; 2023; 6():1179226. PubMed ID: 37588696
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 9.