| Item type |
紀要論文 / Departmental Bulletin Paper(1) |
| 公開日 |
2021-05-10 |
| タイトル |
|
|
タイトル |
特徴量選択手法およびシステム構成の最適化によるうつ病CADの高性能化 |
|
言語 |
ja |
| タイトル |
|
|
タイトル |
Improving the performance of Depression CAD by using feature selection methods and optimizing system configuration |
|
言語 |
en |
| 言語 |
|
|
言語 |
jpn |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Depression |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Feature selection |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Optimization |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| ID登録 |
|
|
ID登録 |
10.34411/00032041 |
|
ID登録タイプ |
JaLC |
| 著者 |
牧, 優太
和田, 昇太
安倍, 和弥
武尾, 英哉
永井, 優一
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The number of subjects with depression in Japan has been increasing and the number of medical examinees has also been increasing. Therefore, more appropriate diagnosis is required. However, the diagnosis of depression and other mental disorders has not been made using objective indicators such as biomarkers, and the accuracy of the diagnosis has been questioned. Therefore, we are developing a system for calculating the confidence of depression to help physicians to make a diagnosis. To achieve a higher accuracy than the conventional discrimination accuracy, we optimized the program's configuration by adding a voice classifier and using Leave-one-out cross-validation etc. Also, we performed feature selection using 18 feature selection methods and extraction of the optimal model using a brute force algorithm of feature combinations. As a result, the discrimination accuracies of 90 %, 95 %, and 100 % for male, female, and mixed-sex data were achieved, respectively, which is higher than the conventional accuracy of 83 %. |
|
言語 |
en |
| 書誌情報 |
神奈川工科大学研究報告.B,理工学編
巻 45,
p. 1-7,
発行日 2021-03-01
|
| 出版者 |
|
|
出版者 |
神奈川工科大学 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
21882878 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12669200 |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
kkb-045-001.pdf (802.7 kB)
