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Machine learning methods for prediction of food effects on ..:
Bennett-Lenane, Harriet
;
Griffin, Brendan T
;
O'Shea, Joseph P
Bennett-Lenane, H., Griffin, B. T. and O'Shea, J. P. (2021) 'Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks', European Journal of Pharmaceutical Sciences. doi:10.1016/j.ejps.2021.106018. , 2021
Link:
http://hdl.handle.net/10468/12059
RT Journal T1 <Title>Machine learning methods for prediction of food effects on bioavailability: A comparison of Support Vector Machines and Artificial Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivcollcork:oai:cora.ucc.ie:10468_12059&Exemplar=1&LAN=DE A1 Bennett-Lenane, Harriet A1 Griffin, Brendan T A1 O'Shea, Joseph P PB Elsevier B.V. YR 2021 K1 Oral drug delivery K1 Bio-enabling formulations K1 Food effect K1 Machine learning JF Bennett-Lenane, H., Griffin, B. T. and O'Shea, J. P. (2021) 'Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks', European Journal of Pharmaceutical Sciences. doi:10.1016/j.ejps.2021.106018 LK http://hdl.handle.net/10468/12059 DO http://hdl.handle.net/10468/12059 SF ELIB - SuUB Bremen
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