Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis

Research output: Contribution to journal › Article

6 Citations (Scopus)

Original language	English
Pages (from-to)	150-164
Journal	Technological Forecasting and Social Change
Volume	130
DOIs	https://doi.org/10.1016/j.techfore.2018.01.033
Publication status	Published - 2018 May 1

Cite this

@article{4f87521774bb495e9c72085e428599e7,

title = "Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis",

author = "Peng-ting Chen",

year = "2018",

month = may,

day = "1",

doi = "10.1016/j.techfore.2018.01.033",

language = "English",

volume = "130",

pages = "150--164",

journal = "Technological Forecasting and Social Change",

issn = "0040-1625",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Medical big data applications: Intertwined effects and effective resource allocation strategies identified through IRA-NRM analysis

AU - Chen, Peng-ting

PY - 2018/5/1

Y1 - 2018/5/1

U2 - 10.1016/j.techfore.2018.01.033

DO - 10.1016/j.techfore.2018.01.033

M3 - Article

VL - 130

SP - 150

EP - 164

JO - Technological Forecasting and Social Change

JF - Technological Forecasting and Social Change

SN - 0040-1625

ER -