TY - JOUR AU - Bang, Sunjoo AU - Son, Sangjoon AU - Roh, Hyunwoong AU - Lee, Jihye AU - Bae, Sungyun AU - Lee, Kyungwon AU - Hong, Changhyung AU - Shin, Hyunjung PY - 2017 DA - 2017/05/18 TI - Quad-phased data mining modeling for dementia diagnosis JO - BMC Medical Informatics and Decision Making SP - 60 VL - 17 IS - 1 AB - 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. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-017-0451-3 DO - 10.1186/s12911-017-0451-3 ID - Bang2017 ER -