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

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Bibliographic Details
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
Description
ISSN:1471-2407
DOI:10.1186/s12885-016-2972-z