Presentation 2023-03-16
[Invited Talk] Applying Machine Learning to Social Applications
Noritaka Shigei, Yoichi Ishizuka, Satoshi Sugimoto, Chihiro Morita, Masanobu Miyazaki, Shinichi Abe, Tomoya Nishino, Hiromi Miyajima,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In various fields of society, the utilization of machine learning (ML) for efficiency and automation is rapidly advancing. The presenter thinks that in order to apply ML to society effectively and at a low cost, it is necessary to consider the effective utilization of available data, the creation of low-cost training data, and how to use ML in consideration of misclassification. The presenters have studied the application of ML to ground strength estimation, land-use classification, landslide hazard area estimation, appearance evaluation of weather-resistant steel, and trend determination of kidney function. For example, for ground strength estimation, the selection of training data is important; for land-use classification, the different map information can be used to generate training data; for landslide hazard area estimation, higher estimation accuracy can be obtained by using more accurate information, for appearance evaluation of weather-resistant steel materials, accuracy can be improved by integrating local judgments; and for trend determination in kidney function, ML has the potential to extract judgment criteria and assist in the judgments of physicians. This talk introduces the results and findings obtained from these applications.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine Learning / Renal Function / Ground Strength / Land-Use / Hazard Area / Weather-Resistant Steel
Paper # MSS2022-86,NLP2022-131
Date of Issue 2023-03-08 (MSS, NLP)

Conference Information
Committee NLP / MSS
Conference Date 2023/3/15(3days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Akio Tsuneda(Kumamoto Univ.) / Atsuo Ozaki(Osaka Inst. of Tech.)
Vice Chair Hiroyuki Torikai(Hosei Univ.) / Shingo Yamaguchi(Yamaguchi Univ.)
Secretary Hiroyuki Torikai(Sojo Univ.) / Shingo Yamaguchi(Gifu Univ.)
Assistant Yuichi Yokoi(Nagasaki Univ.) / Yoshikazu Yamanaka(Utsunomiya Univ.) / Masato Shirai(Shimane Univ.)

Paper Information
Registration To Technical Committee on Nonlinear Problems / Technical Committee on Mathematical Systems Science and its Applications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Applying Machine Learning to Social Applications
Sub Title (in English) Attempts toward automation of tasks related to medical care, disaster prevention, and steel bridge maintenance
Keyword(1) Machine Learning
Keyword(2) Renal Function
Keyword(3) Ground Strength
Keyword(4) Land-Use
Keyword(5) Hazard Area
Keyword(6) Weather-Resistant Steel
1st Author's Name Noritaka Shigei
1st Author's Affiliation Kagoshima University(Kagoshima Univ.)
2nd Author's Name Yoichi Ishizuka
2nd Author's Affiliation Nagasaki University(Nagasaki Univ.)
3rd Author's Name Satoshi Sugimoto
3rd Author's Affiliation Nagasaki University(Nagasaki Univ.)
4th Author's Name Chihiro Morita
4th Author's Affiliation University of Miyazaki(Univ. of Miyazaki)
5th Author's Name Masanobu Miyazaki
5th Author's Affiliation Miyazaki Medical Clinic(Miyazaki Medical Clinic)
6th Author's Name Shinichi Abe
6th Author's Affiliation Nagasaki University Hospital(Nagasaki University Hospital)
7th Author's Name Tomoya Nishino
7th Author's Affiliation Nagasaki University Hospital(Nagasaki University Hospital)
8th Author's Name Hiromi Miyajima
8th Author's Affiliation Kagoshima University(Kagoshima Univ.)
Date 2023-03-16
Paper # MSS2022-86,NLP2022-131
Volume (vol) vol.122
Number (no) MSS-435,NLP-436
Page pp.pp.120-120(MSS), pp.120-120(NLP),
#Pages 1
Date of Issue 2023-03-08 (MSS, NLP)