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1 Ergebnisse
1
Will they participate? Predicting patients' response to cli..:
Ni, Yizhao
;
Beck, Andrew F
;
Taylor, Regina
...
qt3jc6w4mc. , 2016
Link:
https://escholarship.org/uc/item/3jc6w4mc
RT Journal T1
Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt3jc6w4mc&Exemplar=1&LAN=DE A1 Ni, Yizhao A1 Beck, Andrew F A1 Taylor, Regina A1 Dyas, Jenna A1 Solti, Imre A1 Grupp-Phelan, Jacqueline A1 Dexheimer, Judith W PB eScholarship, University of California YR 2016 K1 Biomedical and Clinical Sciences K1 Clinical Sciences K1 Clinical Research K1 Pediatric K1 Clinical Trials and Supportive Activities K1 8.4 Research design and methodologies (health services) K1 Health and social care services research K1 Good Health and Well Being K1 Algorithms K1 Child K1 Clinical Trials as Topic K1 Emergency Service K1 Hospital K1 Female K1 Hospitals K1 Humans K1 Machine Learning K1 Male K1 Patient Acceptance of Health Care K1 Patient Participation K1 patient-directed precision recruitment K1 predictive modeling K1 socioeconomic status K1 Information and Computing Sciences K1 Engineering K1 Medical and Health Sciences K1 Medical Informatics K1 Health sciences JF qt3jc6w4mc LK http://dx.doi.org/https://escholarship.org/uc/item/3jc6w4mc DO https://escholarship.org/uc/item/3jc6w4mc SF ELIB - SuUB Bremen
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