A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning

Satoki Hamanaka; Wataru Sasaki; Tadashi Okoshi; Jin Nakazawa; Kaori Yagasaki; Hiroko Komatsu

doi:10.1145/3460418.3479316

A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning

Satoki Hamanaka, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Kaori Yagasaki, Hiroko Komatsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of anticancer medicines that causes muscular weakness and falls in cancer patients. Therefore, we compared the methods for identifying and estimating the factors that cause symptoms in CIPN based on factor analysis and four different machine learning algorithms. The results of factor analysis showed that the latent factors causing CIPN can be classified into three categories: "Morning body condition", "Pain in the legs"and "Dizziness". We chose models for machine learning based on the premise of multi-task learning and built numerous machine learning models to estimate various CIPN symptoms. According to the results of the comparison studies, TabNet has the best generalization performance.

Original language	English
Title of host publication	UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
Publisher	Association for Computing Machinery, Inc
Pages	117-120
Number of pages	4
ISBN (Electronic)	9781450384612
DOIs	https://doi.org/10.1145/3460418.3479316
Publication status	Published - 2021 Sept 21
Event	2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 - Virtual, Online, United States Duration: 2021 Sept 21 → 2021 Sept 25

Publication series

Name	UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers

Conference

Conference	2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021
Country/Territory	United States
City	Virtual, Online
Period	21/9/21 → 21/9/25

Keywords

chemotherapy-induced peripheral neuropathy
fall detection
machine learning
mobile sensing

ASJC Scopus subject areas

Hardware and Architecture
Computer Networks and Communications
Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3460418.3479316

Cite this

Hamanaka, S., Sasaki, W., Okoshi, T., Nakazawa, J., Yagasaki, K., & Komatsu, H. (2021). A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning. In UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (pp. 117-120). (UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers). Association for Computing Machinery, Inc. https://doi.org/10.1145/3460418.3479316

A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning. / Hamanaka, Satoki; Sasaki, Wataru; Okoshi, Tadashi et al.
UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2021. p. 117-120 (UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hamanaka, S, Sasaki, W, Okoshi, T , Nakazawa, J , Yagasaki, K & Komatsu, H 2021, A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning. in UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, Association for Computing Machinery, Inc, pp. 117-120, 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021, Virtual, Online, United States, 21/9/21. https://doi.org/10.1145/3460418.3479316

Hamanaka S, Sasaki W, Okoshi T , Nakazawa J , Yagasaki K, Komatsu H. A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning. In UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc. 2021. p. 117-120. (UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers). doi: 10.1145/3460418.3479316

Hamanaka, Satoki ; Sasaki, Wataru ; Okoshi, Tadashi et al. / A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning. UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, 2021. pp. 117-120 (UbiComp/ISWC 2021 - Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers).

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title = "A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning",

abstract = "Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of anticancer medicines that causes muscular weakness and falls in cancer patients. Therefore, we compared the methods for identifying and estimating the factors that cause symptoms in CIPN based on factor analysis and four different machine learning algorithms. The results of factor analysis showed that the latent factors causing CIPN can be classified into three categories: {"}Morning body condition{"}, {"}Pain in the legs{"}and {"}Dizziness{"}. We chose models for machine learning based on the premise of multi-task learning and built numerous machine learning models to estimate various CIPN symptoms. According to the results of the comparison studies, TabNet has the best generalization performance.",

keywords = "chemotherapy-induced peripheral neuropathy, fall detection, machine learning, mobile sensing",

author = "Satoki Hamanaka and Wataru Sasaki and Tadashi Okoshi and Jin Nakazawa and Kaori Yagasaki and Hiroko Komatsu",

note = "Funding Information: This work was supported by JSPS KAKENHI Grant Number JP16H02696. Publisher Copyright: {\textcopyright} 2021 ACM.; 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2021 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2021 ; Conference date: 21-09-2021 Through 25-09-2021",

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doi = "10.1145/3460418.3479316",

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AU - Hamanaka, Satoki

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AU - Yagasaki, Kaori

AU - Komatsu, Hiroko

PY - 2021/9/21

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N2 - Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of anticancer medicines that causes muscular weakness and falls in cancer patients. Therefore, we compared the methods for identifying and estimating the factors that cause symptoms in CIPN based on factor analysis and four different machine learning algorithms. The results of factor analysis showed that the latent factors causing CIPN can be classified into three categories: "Morning body condition", "Pain in the legs"and "Dizziness". We chose models for machine learning based on the premise of multi-task learning and built numerous machine learning models to estimate various CIPN symptoms. According to the results of the comparison studies, TabNet has the best generalization performance.

AB - Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of anticancer medicines that causes muscular weakness and falls in cancer patients. Therefore, we compared the methods for identifying and estimating the factors that cause symptoms in CIPN based on factor analysis and four different machine learning algorithms. The results of factor analysis showed that the latent factors causing CIPN can be classified into three categories: "Morning body condition", "Pain in the legs"and "Dizziness". We chose models for machine learning based on the premise of multi-task learning and built numerous machine learning models to estimate various CIPN symptoms. According to the results of the comparison studies, TabNet has the best generalization performance.

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A Comparative Study of CIPN Symptom Estimation Methods Based on Machine Learning

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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