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
Author:
Publisher
Springer Science and Business Media LLC
Subject
Internal Medicine
Link
http://link.springer.com/article/10.1007/s11606-018-4316-y/fulltext.html
Reference25 articles.
1. Frost DW, Cook DJ, Heyland DK, Fowler RA. Patient and healthcare professional factors influencing end-of-life decision-making during critical illness: a systematic review*. Crit Care Med. 2011;39(5):1174–1189. https://doi.org/10.1097/CCM.0b013e31820eacf2 .
2. You JJ, Downar J, Fowler RA, et al. Barriers to goals of care discussions with seriously ill hospitalized patients and their families: a multicenter survey of clinicians. JAMA Intern Med. 2015;175(4):549-556. https://doi.org/10.1001/jamainternmed.2014.7732 .
3. Van Walraven C, McAlister FA, Bakal JA, Hawken S, Donzé J. External validation of the Hospital-patient One-year Mortality Risk (HOMR) model for predicting death within 1 year after hospital admission. CMAJ. 2015;187(10):725-733. https://doi.org/10.1503/cmaj.150209 .
4. Tabak YP, Sun X, Nunez CM, Johannes RS. Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS). J Am Med Informatics Assoc. 2014;21(3):455-463. https://doi.org/10.1136/amiajnl-2013-001790 .
5. Escobar GJ, Greene JD, Scheirer P, Gardner MN, Draper D, Kipnis P. Risk-Adjusting Hospital Inpatient Mortality Using Automated Inpatient, Outpatient, and Laboratory Databases. Med Care. 2008;46(3):232-239. https://doi.org/10.1097/MLR.0b013e3181589bb6 .
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