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Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach.

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Title: Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach.
Authors: Lin FP; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia. f.lin@unsw.edu.au.; Garvan Institute of Medical Research, Sydney, Australia. f.lin@unsw.edu.au.; The University of New South Wales, Sydney, NSW, Australia. f.lin@unsw.edu.au., Pokorny A; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia., Teng C; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia., Dear R; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.; The University of Sydney, Sydney, NSW, Australia., Epstein RJ; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.; Garvan Institute of Medical Research, Sydney, Australia.; The University of New South Wales, Sydney, NSW, Australia.
Source: BMC cancer [BMC Cancer] 2016 Dec 01; Vol. 16 (1), pp. 929. Date of Electronic Publication: 2016 Dec 01.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Lin+FP%22">Lin FP</searchLink>; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia. f.lin@unsw.edu.au.; Garvan Institute of Medical Research, Sydney, Australia. f.lin@unsw.edu.au.; The University of New South Wales, Sydney, NSW, Australia. f.lin@unsw.edu.au.<br /><searchLink fieldCode="AU" term="%22Pokorny+A%22">Pokorny A</searchLink>; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Teng+C%22">Teng C</searchLink>; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Dear+R%22">Dear R</searchLink>; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.; The University of Sydney, Sydney, NSW, Australia.<br /><searchLink fieldCode="AU" term="%22Epstein+RJ%22">Epstein RJ</searchLink>; Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.; Garvan Institute of Medical Research, Sydney, Australia.; The University of New South Wales, Sydney, NSW, Australia.
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  Data: <searchLink fieldCode="JN" term="%22100967800%22">BMC cancer</searchLink> [BMC Cancer] 2016 Dec 01; Vol. 16 (1), pp. 929. <i>Date of Electronic Publication: </i>2016 Dec 01.
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