Francois Modave
Citata da
Citata da
Big data hurdles in precision medicine and precision public health
M Prosperi, JS Min, J Bian, F Modave
BMC medical informatics and decision making 18 (1), 1-15, 2018
Swimming-induced pulmonary edema in triathletes
CC Miller III, K Calder-Becker, F Modave
The American journal of emergency medicine 28 (8), 941-946, 2010
Mining Twitter to assess the public perception of the “Internet of Things”
J Bian, K Yoshigoe, A Hicks, J Yuan, Z He, M Xie, Y Guo, M Prosperi, ...
PloS one 11 (7), e0158450, 2016
Low quality of free coaching apps with respect to the American College of Sports Medicine Guidelines: a review of current mobile apps
F Modave, J Bian, T Leavitt, J Bromwell, C Harris III, H Vincent
JMIR mHealth and uHealth 3 (3), e4669, 2015
Preference representation by a Choquet integral: commensurability hypothesis
F Modave, M Grabisch
Proceedings of the 7th international conference on information processing …, 1998
Mobile apps for the management of diabetes
S Chavez, D Fedele, Y Guo, A Bernier, M Smith, J Warnick, F Modave
Diabetes Care 40 (10), e145-e146, 2017
Relating decision under uncertainty and multicriteria decision making models
D Dubois, M Grabisch, F Modave, H Prade
International Journal of Intelligent Systems 15 (10), 967-979, 2000
Analysis of the accuracy of weight loss information search engine results on the internet
F Modave, NK Shokar, E Peñaranda, N Nguyen
American journal of public health 104 (10), 1971-1978, 2014
An ontology-guided semantic data integration framework to support integrative data analysis of cancer survival
H Zhang, Y Guo, Q Li, TJ George, E Shenkman, F Modave, J Bian
BMC medical informatics and decision making 18 (2), 129-147, 2018
Mobile device accuracy for step counting across age groups
F Modave, Y Guo, J Bian, MJ Gurka, A Parish, MD Smith, AM Lee, ...
JMIR mHealth and uHealth 5 (6), e88, 2017
Efficacy and effectiveness of mobile health technologies for facilitating physical activity in adolescents: scoping review
AM Lee, S Chavez, J Bian, LA Thompson, MJ Gurka, VG Williamson, ...
JMIR mHealth and uHealth 7 (2), e11847, 2019
Exploring the association between self-reported asthma impact and Fitbit-derived sleep quality and physical activity measures in adolescents
J Bian, Y Guo, M Xie, AE Parish, I Wardlaw, R Brown, F Modave, D Zheng, ...
JMIR mHealth and uHealth 5 (7), e7346, 2017
Assessing the quality of mobile exercise apps based on the American College of Sports Medicine Guidelines: a reliable and valid scoring instrument
Y Guo, J Bian, T Leavitt, HK Vincent, L Vander Zalm, TL Teurlings, ...
Journal of medical Internet research 19 (3), e67, 2017
An interval-valued, 2-additive choquet integral for multi-criteria decision making
M Ceberio, F Modave
IPMU’04, 2004
Examining healthcare utilization patterns of elderly and middle-aged adults in the United States
CE Zayas, Z He, J Yuan, M Maldonado-Molina, W Hogan, F Modave, ...
The Twenty-Ninth International Flairs Conference, 2016
A Choquet integral representation in multicriteria decision making
F Modave, D Dubois, M Grabisch, H Prade
AAAI Fall Symposium on Frontiers in Soft Computing and Decisions Systems, 7-9, 1997
Preferential independence and the Choquet integral
F Modave, M Grabisch
8th International Conference on the Foundations and Applications of Decision …, 1997
The optimality of non-additive approaches for portfolio selection
T Magoč, F Modave
Expert Systems with Applications 38 (10), 12967-12973, 2011
Colorectal cancer stages transcriptome analysis
T Huo, R Canepa, A Sura, F Modave, Y Gong
PLoS One 12 (11), e0188697, 2017
Creating an mHealth app for colorectal cancer screening: User-centered design approach
L Griffin, D Lee, A Jaisle, P Carek, T George, E Laber, B Lok, F Modave, ...
JMIR human factors 6 (2), e12700, 2019
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