This paper is in the following e-collection/theme issue:

Instruments and Questionnaires for Nutrition and Food Intake (142) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (623) Research Instruments, Questionnaires, and Tools (435) Public Health Informatics (42) Behavioural Surveillance for Public Health (129) Obesity and Nutrition as Public Health Problem (189)

Published on in Vol 4 , No 2 (2018) :Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9536, first published .
Accurately Inferring Compliance to Five Major Food Guidelines Through Simplified Surveys: Applying Data Mining to the UK National Diet and Nutrition Survey

Accurately Inferring Compliance to Five Major Food Guidelines Through Simplified Surveys: Applying Data Mining to the UK National Diet and Nutrition Survey

Accurately Inferring Compliance to Five Major Food Guidelines Through Simplified Surveys: Applying Data Mining to the UK National Diet and Nutrition Survey

Authors of this article:

Nicholas Rosso 1 Author Orcid Image ;   Philippe Giabbanelli 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (2) Metrics

Nicholas Rosso   1 ;   Philippe Giabbanelli   2 , PhD

1 Data Analytics for Complex Human Behaviors Laboratory, Computer Science Department, Northern Illinois University, DeKalb, IL, US

2 Data Analytics for Complex Human Behaviors Laboratory, Department of Computer Science, Furman University, Greenville, SC, US

Corresponding Author:

  • Philippe Giabbanelli, PhD
  • Data Analytics for Complex Human Behaviors Laboratory
  • Department of Computer Science
  • Furman University
  • 3300 Poinsett Hwy
  • Greenville, SC, 29613
  • US
  • Phone: 1 864 294 2097
  • Email: giabbanelli@gmail.com