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1 Ergebnisse
1
Hybride Qualitätsindikatoren mittels Machine Learning-Metho..:
Spoden, M
;
Dröge, P
;
Roessler, M
...
CMS, Hybrid 30-day Risk-standardized Acute Myocardial Infarction (AMI) Mortality Measure with Electronic Health Record (EHR)-Extracted Risk Factors. 2015. Availabe from: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Measure-Methodology. , 2022
Link:
https://doi.org/10.3205/22dkvf107
RT Journal T1 <Title>Hybride Qualitätsindikatoren mittels Machine Learning-Methoden (Hybrid-QI)</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftgms:oai:oai-gms.dimdi.de:GM22dkvf107&Exemplar=1&LAN=DE A1 Spoden, M A1 Dröge, P A1 Roessler, M A1 Datzmann, T A1 Lang, C A1 Sedlmayr, M A1 Schmitt, J A1 Günster, C PB German Medical Science GMS Publishing House; Düsseldorf YR 2022 K1 ddc: 610 JF CMS, Hybrid 30-day Risk-standardized Acute Myocardial Infarction (AMI) Mortality Measure with Electronic Health Record (EHR)-Extracted Risk Factors. 2015. Availabe from: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/HospitalQualityInits/Measure-Methodology LK http://dx.doi.org/https://doi.org/10.3205/22dkvf107 DO https://doi.org/10.3205/22dkvf107 SF ELIB - SuUB Bremen
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