BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 22819429)

  • 81. A machine learning approach to identify distinct subgroups of veterans at risk for hospitalization or death using administrative and electronic health record data.
    Parikh RB; Linn KA; Yan J; Maciejewski ML; Rosland AM; Volpp KG; Groeneveld PW; Navathe AS
    PLoS One; 2021; 16(2):e0247203. PubMed ID: 33606819
    [TBL] [Abstract][Full Text] [Related]  

  • 82. Magnitude and duration of the effect of sepsis on survival. Department of Veterans Affairs Systemic Sepsis Cooperative Studies Group.
    Quartin AA; Schein RM; Kett DH; Peduzzi PN
    JAMA; 1997 Apr; 277(13):1058-63. PubMed ID: 9091694
    [TBL] [Abstract][Full Text] [Related]  

  • 83. Common laboratory tests predict imminent death in ward patients.
    Loekito E; Bailey J; Bellomo R; Hart GK; Hegarty C; Davey P; Bain C; Pilcher D; Schneider H
    Resuscitation; 2013 Mar; 84(3):280-5. PubMed ID: 22863543
    [TBL] [Abstract][Full Text] [Related]  

  • 84. Hospitalization and mortality rates for heart failure in public hospitals in São Paulo.
    Godoy HL; Silveira JA; Segalla E; Almeida DR
    Arq Bras Cardiol; 2011 Nov; 97(5):402-7. PubMed ID: 22193395
    [TBL] [Abstract][Full Text] [Related]  

  • 85. Sample size implications of mortality definitions in sepsis: a retrospective cohort study.
    Govindan S; Prescott HC; Chopra V; Iwashyna TJ
    Trials; 2018 Mar; 19(1):198. PubMed ID: 29587803
    [TBL] [Abstract][Full Text] [Related]  

  • 86. Impact of Hospital Practice Factors on Mortality in Patients Hospitalized for Heart Failure in Japan - An Analysis of a Large Number of Health Records From a Nationwide Claims-Based Database, the JROAD-DPC.
    Kaku H; Funakoshi K; Ide T; Fujino T; Matsushima S; Ohtani K; Higo T; Nakai M; Sumita Y; Nishimura K; Miyamoto Y; Anzai T; Tsutsui H
    Circ J; 2020 Apr; 84(5):742-753. PubMed ID: 32238643
    [TBL] [Abstract][Full Text] [Related]  

  • 87. Clinical risk prediction tools in patients hospitalized with heart failure.
    Fonarow GC
    Rev Cardiovasc Med; 2012; 13(1):e14-23. PubMed ID: 22565534
    [TBL] [Abstract][Full Text] [Related]  

  • 88. Risk stratification in acute heart failure.
    Lee DS; Ezekowitz JA
    Can J Cardiol; 2014 Mar; 30(3):312-9. PubMed ID: 24565256
    [TBL] [Abstract][Full Text] [Related]  

  • 89. Risk Trajectories for Readmission and Death After Cirrhosis-Related Hospitalization.
    Tansel A; Kramer J; Feng H; El-Serag HB; Kanwal F
    Dig Dis Sci; 2019 Jun; 64(6):1470-1477. PubMed ID: 30673983
    [TBL] [Abstract][Full Text] [Related]  

  • 90. Prognostic Utility of the Braden Scale and the Morse Fall Scale in Hospitalized Patients With Heart Failure.
    Carazo M; Sadarangani T; Natarajan S; Katz SD; Blaum C; Dickson VV
    West J Nurs Res; 2017 Apr; 39(4):507-523. PubMed ID: 27531001
    [TBL] [Abstract][Full Text] [Related]  

  • 91. Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research.
    Lee DS; Donovan L; Austin PC; Gong Y; Liu PP; Rouleau JL; Tu JV
    Med Care; 2005 Feb; 43(2):182-8. PubMed ID: 15655432
    [TBL] [Abstract][Full Text] [Related]  

  • 92. Low systolic blood pressure for predicting all-cause mortality in patients hospitalised with heart failure: a systematic review and meta-analysis.
    Zhang Y; Wang C; Zhang J; Zhang H; Yin Z; Chen Y; Xie Q
    Eur J Prev Cardiol; 2019 Mar; 26(4):439-443. PubMed ID: 29939079
    [No Abstract]   [Full Text] [Related]  

  • 93. Patterns and determinants of health services use and mortality after VA nursing home care.
    Williams BC; Fries BE; Mehr DR
    J Aging Health; 1996 May; 8(2):280-301. PubMed ID: 10160562
    [TBL] [Abstract][Full Text] [Related]  

  • 94. Trends in survival after a diagnosis of heart failure in the United Kingdom 2000-2017: population based cohort study.
    Taylor CJ; Ordóñez-Mena JM; Roalfe AK; Lay-Flurrie S; Jones NR; Marshall T; Hobbs FDR
    BMJ; 2019 Feb; 364():l223. PubMed ID: 30760447
    [TBL] [Abstract][Full Text] [Related]  

  • 95. Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization.
    Blalock DV; Maciejewski ML; Zulman DM; Smith VA; Grubber J; Rosland AM; Weidenbacher HJ; Greene L; Zullig LL; Whitson HE; Hastings SN; Hung A
    Med Care; 2021 May; 59(5):410-417. PubMed ID: 33821830
    [TBL] [Abstract][Full Text] [Related]  

  • 96. Dynamic prediction of hospital admission with medical claim data.
    Yang T; Yang Y; Jia Y; Li X
    BMC Med Inform Decis Mak; 2019 Jan; 19(Suppl 1):18. PubMed ID: 30700290
    [TBL] [Abstract][Full Text] [Related]  

  • 97. Which patients are persistently high-risk for hospitalization?
    Chang ET; Piegari R; Wong ES; Rosland AM; Fihn SD; Vijan S; Yoon J
    Am J Manag Care; 2019 Sep; 25(9):e274-e281. PubMed ID: 31518099
    [TBL] [Abstract][Full Text] [Related]  

  • 98. Procedure-based severity index for inpatients: development and validation using administrative database.
    Yamana H; Matsui H; Fushimi K; Yasunaga H
    BMC Health Serv Res; 2015 Jul; 15():261. PubMed ID: 26152112
    [TBL] [Abstract][Full Text] [Related]  

  • 99. The Procedural Index for Mortality Risk (PIMR): an index calculated using administrative data to quantify the independent influence of procedures on risk of hospital death.
    van Walraven C; Wong J; Bennett C; Forster AJ
    BMC Health Serv Res; 2011 Oct; 11():258. PubMed ID: 21982489
    [TBL] [Abstract][Full Text] [Related]  

  • 100. Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study.
    Sahni N; Simon G; Arora R
    J Gen Intern Med; 2018 Jun; 33(6):921-928. PubMed ID: 29383551
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.