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Process / pipelinePredictive modeling, Patient risk stratification

Modeli wa Ut napilika wa Kulazwa Hospitalini

Modeli wa ut napilika wa kulazwa hospitalini hutumia mbinu za takwimu na mashine kujifunza kutambua wagonjwa walio katika hatari kubwa ya kurudi hospitalini muda mfupi baada ya kutoka. Modeli hizi huongoza upangaji wa kutoka hospitalini kwa lengo maalum na ufuatiliaji ili kuboresha matokeo na kupunguza gharama.

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Vyanzo

  1. Jencks, S. F., Williams, M. V., & Coleman, E. A. (2009). Rehospitalizations among patients in the Medicare fee-for-service program. New England Journal of Medicine, 360(14), 1418–1428. DOI: 10.1056/NEJMsa0803563
  2. Krumholz, H. M., Normand, S. L. T., & Wang, Y. (2014). Trends in hospitalizations and outcomes for acute myocardial infarction, 2006 to 2011. Circulation, 132(4), 362–366. link
  3. Philbin, E. F., & DiSalvo, T. G. (1998). Prediction of hospital readmissions for heart failure: development of a simple risk score based on administrative data. Journal of the American College of Cardiology, 33(6), 1560–1566. DOI: 10.1016/s0735-1097(99)00059-5

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Predictive Modeling for Hospital Readmission Risk and Prevention. ScholarGate. https://scholargate.app/sw/healthcare-management/hospital-readmission-model

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ScholarGateHospital Readmission Prediction Model (Predictive Modeling for Hospital Readmission Risk and Prevention). Imepatikana 2026-06-20 kutoka https://scholargate.app/sw/healthcare-management/hospital-readmission-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026