Quad-phased data mining modeling for dementia diagnosis.

ABSTRACT:

Background

The number of people with dementia is increasing along with people's ageing trend worldwide. Therefore, there are various researches to improve a dementia diagnosis process in the field of computer-aided diagnosis (CAD) technology. The most significant issue is that the evaluation processes by physician which is based on medical information for patients and questionnaire from their guardians are time consuming, subjective and prone to error. This problem can be solved by an overall data mining modeling, which subsidizes an intuitive decision of clinicians.

Methods

Therefore, in this paper we propose a quad-phased data mining modeling consisting of 4 modules. In Proposer Module, significant diagnostic criteria are selected that are effective for diagnostics. Then i

SUBMITTER: Bang S 

PROVIDER: S-EPMC5444044 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature