BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

770 related articles for article (PubMed ID: 33840419)

  • 1. Using machine learning to predict paediatric 30-day unplanned hospital readmissions: a case-control retrospective analysis of medical records, including written discharge documentation.
    Zhou H; Albrecht MA; Roberts PA; Porter P; Della PR
    Aust Health Rev; 2021 Jun; 45(3):328-337. PubMed ID: 33840419
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A 5-year retrospective cohort study of unplanned readmissions in an Australian tertiary paediatric hospital.
    Zhou H; Della P; Roberts P; Porter P; Dhaliwal S
    Aust Health Rev; 2019 Jan; 43(6):662-671. PubMed ID: 30369393
    [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. Risk factors associated with 30-day all-cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia.
    Zhou H; Della PR; Porter P; Roberts PA
    J Paediatr Child Health; 2020 Jan; 56(1):68-75. PubMed ID: 31090127
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Factors associated with unplanned readmissions in a major Australian health service.
    Considine J; Fox K; Plunkett D; Mecner M; O Reilly M; Darzins P
    Aust Health Rev; 2019 Feb; 43(1):1-9. PubMed ID: 29092726
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictors of 30-Day Unplanned Readmission After Carotid Artery Stenting Using Artificial Intelligence.
    Amritphale A; Chatterjee R; Chatterjee S; Amritphale N; Rahnavard A; Awan GM; Omar B; Fonarow GC
    Adv Ther; 2021 Jun; 38(6):2954-2972. PubMed ID: 33834355
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Factors associated with unplanned readmissions within 1 day of acute care discharge: a retrospective cohort study.
    Considine J; Berry D; Newnham E; Jiang M; Fox K; Plunkett D; Mecner M; Darzins P; O'Reilly M
    BMC Health Serv Res; 2018 Sep; 18(1):713. PubMed ID: 30217155
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting 30-day Hospital Readmission with Publicly Available Administrative Database. A Conditional Logistic Regression Modeling Approach.
    Zhu K; Lou Z; Zhou J; Ballester N; Kong N; Parikh P
    Methods Inf Med; 2015; 54(6):560-7. PubMed ID: 26548400
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The utilization of artificial neural networks for the prediction of 90-day unplanned readmissions following total knee arthroplasty.
    Klemt C; Tirumala V; Habibi Y; Buddhiraju A; Chen TL; Kwon YM
    Arch Orthop Trauma Surg; 2023 Jun; 143(6):3279-3289. PubMed ID: 35933638
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national surgical registry.
    Goyal A; Ngufor C; Kerezoudis P; McCutcheon B; Storlie C; Bydon M
    J Neurosurg Spine; 2019 Jun; 31(4):568-578. PubMed ID: 31174185
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Machine Learning Prediction of Postoperative Emergency Department Hospital Readmission.
    Mišić VV; Gabel E; Hofer I; Rajaram K; Mahajan A
    Anesthesiology; 2020 May; 132(5):968-980. PubMed ID: 32011336
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death.
    Awan SE; Bennamoun M; Sohel F; Sanfilippo FM; Chow BJ; Dwivedi G
    PLoS One; 2019; 14(6):e0218760. PubMed ID: 31242238
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Avoidable readmission in Hong Kong--system, clinician, patient or social factor?
    Yam CH; Wong EL; Chan FW; Leung MC; Wong FY; Cheung AW; Yeoh EK
    BMC Health Serv Res; 2010 Nov; 10():311. PubMed ID: 21080970
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inflammatory Bowel Disease: Predictors and Causes of Early and Late Hospital Readmissions.
    Mudireddy P; Scott F; Feathers A; Lichtenstein GR
    Inflamm Bowel Dis; 2017 Oct; 23(10):1832-1839. PubMed ID: 28858068
    [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. Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital.
    Maali Y; Perez-Concha O; Coiera E; Roffe D; Day RO; Gallego B
    BMC Med Inform Decis Mak; 2018 Jan; 18(1):1. PubMed ID: 29301576
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.
    Desautels T; Das R; Calvert J; Trivedi M; Summers C; Wales DJ; Ercole A
    BMJ Open; 2017 Sep; 7(9):e017199. PubMed ID: 28918412
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Trends in unplanned readmissions over 15 years: a regional Australian perspective.
    Westley-Wise V; Lago L; Mullan J; Facci F; Zingel R; Eagar K
    Aust Health Rev; 2020 Apr; 44(2):241-247. PubMed ID: 30827332
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 39.