A Machine Learning Approach for the Identification of a Biomarker of Human Pain using fNIRS.

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Bibliographic Details
Title: A Machine Learning Approach for the Identification of a Biomarker of Human Pain using fNIRS.
Authors: Fernandez Rojas R; University of Canberra, Human-Centred Research Centre, Canberra, 2617, Australia. raul.fernandezrojas@canberra.edu.au.; School of Engineering and Information Technology, University of New South Wales, Canberra, 2612, Australia. raul.fernandezrojas@canberra.edu.au., Huang X; University of Canberra, Human-Centred Research Centre, Canberra, 2617, Australia., Ou KL; Taipei Medical University Hospital, Department of Dentistry, Taipei, 110, Taiwan.; Taipei Medical University Shuang Ho Hospital, Department of Dentistry, New Taipei City, 235, Taiwan.; Health Sciences University of Hokkaido, School of Dentistry, Hokkaido, 061-0293, Japan.; Hasanuddin University, Department of Prosthodontics, Makassar, 90245, Indonesia.; Universitas Gadjah Mada, Department of Prosthodontics, Yogyakarta, 55281, Indonesia.; Ching Kuo Institute of Management and Health, Department of Oral Hygiene Care, Keelung, 203, Taiwan.; 3D Global Biotech Inc., New Taipei City, 221, Taiwan.
Source: Scientific reports [Sci Rep] 2019 Apr 04; Vol. 9 (1), pp. 5645. Date of Electronic Publication: 2019 Apr 04.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-019-42098-w