Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Intelligent Data Analysis in Science
Intelligent Data Analysis in Science
Data mining issues and opportunities for building nursing knowledge
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Association rule discovery with the train and test approach for heart disease prediction
IEEE Transactions on Information Technology in Biomedicine
Hi-index | 0.00 |
This paper aims at reviewing the experience maturated over the past decade by this group in the framework of the VAMA (Italian acronym for “evaluation of motor ability in the elderly”) project. The objective of that research programme was to devise quantitative methods for assessing the locomotor functional limitation of a given individual and, as a further step, for investigating the relationship between relevant impairments and disability. This was accomplished through the biomechanical analysis of a battery of selected motor tasks as executed by groups of elderly individuals. The attainment of this objective entailed the following methodological steps: increasing the resolution with which the human movement is observed; enhancing the information contained in movement-related data by applying models of the musculoskeletal system; extracting the relevant information by using specific methods of knowledge discovery from databases.