title: Back propagation artificial neural network for community Alzheimer's disease screening in China.
abstract: Alzheimer's disease patients diagnosed with the Chinese Classification of Mental Disorders diagnostic criteria were selected from the community through on-site sampling. Levels of macro and trace elements were measured in blood samples using an atomic absorption method, and neurotransmitters were measured using a radioimmunoassay method. SPSS 13.0 was used to establish a database, and a back propagation artificial neural network for Alzheimer's disease prediction was simulated using Clementine 12.0 software. With scores of activities of daily living, creatinine, 5-hydroxytryptamine, age, dopamine and aluminum as input variables, the results revealed that the area under the curve in our back propagation artificial neural network was 0.929 (95% confidence interval: 0.868-0.968), sensitivity was 90.00%, specificity was 95.00%, and accuracy was 92.50%. The findings indicated that the results of back propagation artificial neural network established based on the above six variables were satisfactory for screening and diagnosis of Alzheimer's disease in patients selected from the community.
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Tang
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Wu
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Helang
authors.initials: H
authors.lastname: Huang
authors.affiliation: Department of Chemistry, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Jiang
authors.initials: J
authors.lastname: Feng
authors.affiliation: Department of Psychosomatic Medicine, First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Yefeng
authors.initials: Y
authors.lastname: Yuan
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Yueping
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Peng
authors.initials: P
authors.lastname: Huang
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Department of Epidemiology, Public Health Institute, Nanchang University, Nanchang 330006, Jiangxi Province, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Yu
keywords: Alzheimer's disease; artificial neural network; clinical practice; community; grant-supported paper; mathematical model; neural regeneration; neuroregeneration; neurotransmitters; trace elements