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1 Ergebnisse
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A comparison of machine learning methods for predicting rec..:
Hindocha, S
;
Charlton, TG
;
Linton-Reid, K
...
EBioMedicine. , 2022
Link:
http://hdl.handle.net/10044/1/95806
RT Journal T1
A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models
UL https://suche.suub.uni-bremen.de/peid=base-ftimperialcol:oai:spiral.imperial.ac.uk:10044_1_95806&Exemplar=1&LAN=DE A1 Hindocha, S A1 Charlton, TG A1 Linton-Reid, K A1 Hunter, B A1 Chan, C A1 Ahmed, M A1 Robinson, EJ A1 Orton, M A1 Ahmad, S A1 McDonald, F A1 Locke, I A1 Power, D A1 Blackledge, M A1 Lee, RW A1 Aboagye, E PB Elsevier YR 2022 K1 Early detection K1 Machine learning K1 Non-small cell lung cancer K1 Overall survival K1 Prediction K1 Radiotherapy K1 Recurrence K1 1103 Clinical Sciences K1 1117 Public Health and Health Services JF EBioMedicine LK http://hdl.handle.net/10044/1/95806 DO http://hdl.handle.net/10044/1/95806 SF ELIB - SuUB Bremen
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