BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

355 related articles for article (PubMed ID: 30777619)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 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. Analysis of Machine Learning Techniques for Heart Failure Readmissions.
    Mortazavi BJ; Downing NS; Bucholz EM; Dharmarajan K; Manhapra A; Li SX; Negahban SN; Krumholz HM
    Circ Cardiovasc Qual Outcomes; 2016 Nov; 9(6):629-640. PubMed ID: 28263938
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Perioperative Risk Adjustment for Total Shoulder Arthroplasty: Are Simple Clinically Driven Models Sufficient?
    Bernstein DN; Keswani A; Ring D
    Clin Orthop Relat Res; 2017 Dec; 475(12):2867-2874. PubMed ID: 27905060
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mining high-dimensional administrative claims data to predict early hospital readmissions.
    He D; Mathews SC; Kalloo AN; Hutfless S
    J Am Med Inform Assoc; 2014; 21(2):272-9. PubMed ID: 24076748
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of Unplanned 30-Day Readmission Prediction Models, Based on Hospital Warehouse and Demographic Data.
    Dhalluin T; Bannay A; Lemordant P; Sylvestre E; Chazard E; Cuggia M; Bouzille G
    Stud Health Technol Inform; 2020 Jun; 270():547-551. PubMed ID: 32570443
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Evaluation of hospital readmissions in surgical patients: do administrative data tell the real story?
    Sacks GD; Dawes AJ; Russell MM; Lin AY; Maggard-Gibbons M; Winograd D; Chung HR; Tomlinson J; Tillou A; Shew SB; Hiyama DT; Cryer HG; Brunicardi FC; Hiatt JR; Ko C
    JAMA Surg; 2014 Aug; 149(8):759-64. PubMed ID: 24920156
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.
    Romero-Brufau S; Wyatt KD; Boyum P; Mickelson M; Moore M; Cognetta-Rieke C
    Appl Clin Inform; 2020 Aug; 11(4):570-577. PubMed ID: 32877943
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.
    Shameer K; Johnson KW; Yahi A; Miotto R; Li LI; Ricks D; Jebakaran J; Kovatch P; Sengupta PP; Gelijns S; Moskovitz A; Darrow B; David DL; Kasarskis A; Tatonetti NP; Pinney S; Dudley JT
    Pac Symp Biocomput; 2017; 22():276-287. PubMed ID: 27896982
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction model for outcome after low-back surgery: individualized likelihood of complication, hospital readmission, return to work, and 12-month improvement in functional disability.
    McGirt MJ; Sivaganesan A; Asher AL; Devin CJ
    Neurosurg Focus; 2015 Dec; 39(6):E13. PubMed ID: 26621411
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.
    Samad MD; Ulloa A; Wehner GJ; Jing L; Hartzel D; Good CW; Williams BA; Haggerty CM; Fornwalt BK
    JACC Cardiovasc Imaging; 2019 Apr; 12(4):681-689. PubMed ID: 29909114
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Can Predictive Modeling Identify Head and Neck Oncology Patients at Risk for Readmission?
    Manning AM; Casper KA; Peter KS; Wilson KM; Mark JR; Collar RM
    Otolaryngol Head Neck Surg; 2018 Oct; 159(4):669-674. PubMed ID: 29783911
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions.
    Walsh C; Hripcsak G
    J Biomed Inform; 2014 Dec; 52():418-26. PubMed ID: 25182868
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.