[HTML][HTML] Machine learning techniques for prediction of early childhood obesity
TM Dugan, S Mukhopadhyay, A Carroll… - Applied clinical …, 2015 - thieme-connect.com
Objectives: This paper aims to predict childhood obesity after age two, using only data
collected prior to the second birthday by a clinical decision support system called CHICA …
collected prior to the second birthday by a clinical decision support system called CHICA …
[HTML][HTML] Using blood indexes to predict overweight statuses: An extreme learning machine-based approach
H Chen, B Yang, D Liu, W Liu, Y Liu, X Zhang, L Hu - PloS one, 2015 - journals.plos.org
The number of the overweight people continues to rise across the world. Studies have
shown that being overweight can increase health risks, such as high blood pressure …
shown that being overweight can increase health risks, such as high blood pressure …
[PDF][PDF] An antifraud system for tourism SMEs in the context of electronic operations with credit cards
F Rebón, I Castander, J Argandoña… - American Journal of …, 2015 - academia.edu
The new paradigm of marketing and communication, in which the “tourism marketer”
conducts its strategies by adapting services to the tourists' interests has enabled an increase …
conducts its strategies by adapting services to the tourists' interests has enabled an increase …
Data mining in medicine: Current issues and future trends
P Mittal - 2015 International Conference on Advances in …, 2015 - ieeexplore.ieee.org
Unique Data mining is the methodology of investigating sets of information and afterward
removing the significant information or learning. It is a term equivalent word with learning …
removing the significant information or learning. It is a term equivalent word with learning …