Baymax: A mental-analyzing mobile app based on big data

Fangyi Yuan; Hongzhi Wang; Shucun Tian; Xin Tong

doi:10.1007/978-981-10-6388-6_48

Baymax: A mental-analyzing mobile app based on big data

Fangyi Yuan^*
, Hongzhi Wang
, Shucun Tian
, Xin Tong

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology

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

Abstract

Nowadays people are facing various psychological problems. Existing solution of evaluation and treatment of mental illness is only to see a psychiatrist, but most of the users has sense of resistance on psychiatrist. Meanwhile most of the existing systems are psychological tests for entertainment, whose results cannot be accurately analyzed. On basis of this phenomenon, we develop the Baymax system to construct a relation between the potential patients’ motion and a specific models in order to analyze the user’s mental conditions and predict his or her potentialities for suffering certain mental diseases, by exerting and exploring the user’s short messages, online diaries, and communicative information on social media, as well as the questionnaires accomplished by the user. Our system uses big data analysis method, and allows users to use the system to determine whether there is a possibility of mental illness in the absence of a psychiatrist.

Original language	English
Title of host publication	Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings
Editors	Qilong Han, Beiji Zou, Xiaoning Peng, Zeguang Lu, Guanglu Sun, Weipeng Jing
Publisher	Springer Verlag
Pages	568-571
Number of pages	4
ISBN (Print)	9789811063879
DOIs	https://doi.org/10.1007/978-981-10-6388-6_48
State	Published - 2017
Event	3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017 - Changsha, China Duration: 22 Sep 2017 → 24 Sep 2017

Publication series

Name	Communications in Computer and Information Science
Volume	728
ISSN (Print)	1865-0929

Conference

Conference	3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017
Country/Territory	China
City	Changsha
Period	22/09/17 → 24/09/17

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Data mining
Mental health

Access to Document

10.1007/978-981-10-6388-6_48

Cite this

Yuan, F., Wang, H., Tian, S., & Tong, X. (2017). Baymax: A mental-analyzing mobile app based on big data. In Q. Han, B. Zou, X. Peng, Z. Lu, G. Sun, & W. Jing (Eds.), Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings (pp. 568-571). (Communications in Computer and Information Science; Vol. 728). Springer Verlag. https://doi.org/10.1007/978-981-10-6388-6_48

Yuan, Fangyi ; Wang, Hongzhi ; Tian, Shucun et al. / Baymax : A mental-analyzing mobile app based on big data. Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. editor / Qilong Han ; Beiji Zou ; Xiaoning Peng ; Zeguang Lu ; Guanglu Sun ; Weipeng Jing. Springer Verlag, 2017. pp. 568-571 (Communications in Computer and Information Science).

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abstract = "Nowadays people are facing various psychological problems. Existing solution of evaluation and treatment of mental illness is only to see a psychiatrist, but most of the users has sense of resistance on psychiatrist. Meanwhile most of the existing systems are psychological tests for entertainment, whose results cannot be accurately analyzed. On basis of this phenomenon, we develop the Baymax system to construct a relation between the potential patients{\textquoteright} motion and a specific models in order to analyze the user{\textquoteright}s mental conditions and predict his or her potentialities for suffering certain mental diseases, by exerting and exploring the user{\textquoteright}s short messages, online diaries, and communicative information on social media, as well as the questionnaires accomplished by the user. Our system uses big data analysis method, and allows users to use the system to determine whether there is a possibility of mental illness in the absence of a psychiatrist.",

keywords = "Data mining, Mental health",

author = "Fangyi Yuan and Hongzhi Wang and Shucun Tian and Xin Tong",

note = "Publisher Copyright: {\textcopyright} 2017, Springer Nature Singapore Pte Ltd.; 3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017 ; Conference date: 22-09-2017 Through 24-09-2017",

year = "2017",

doi = "10.1007/978-981-10-6388-6\_48",

language = "英语",

isbn = "9789811063879",

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publisher = "Springer Verlag",

pages = "568--571",

editor = "Qilong Han and Beiji Zou and Xiaoning Peng and Zeguang Lu and Guanglu Sun and Weipeng Jing",

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Yuan, F, Wang, H, Tian, S & Tong, X 2017, Baymax: A mental-analyzing mobile app based on big data. in Q Han, B Zou, X Peng, Z Lu, G Sun & W Jing (eds), Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. Communications in Computer and Information Science, vol. 728, Springer Verlag, pp. 568-571, 3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017, Changsha, China, 22/09/17. https://doi.org/10.1007/978-981-10-6388-6_48

Baymax: A mental-analyzing mobile app based on big data. / Yuan, Fangyi; Wang, Hongzhi; Tian, Shucun et al.
Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. ed. / Qilong Han; Beiji Zou; Xiaoning Peng; Zeguang Lu; Guanglu Sun; Weipeng Jing. Springer Verlag, 2017. p. 568-571 (Communications in Computer and Information Science; Vol. 728).

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

TY - GEN

T1 - Baymax

T2 - 3rd International Conference of Pioneer Computer Scientists, Engineers, and Educators, ICPCSEE 2017

AU - Yuan, Fangyi

AU - Wang, Hongzhi

AU - Tian, Shucun

AU - Tong, Xin

PY - 2017

Y1 - 2017

N2 - Nowadays people are facing various psychological problems. Existing solution of evaluation and treatment of mental illness is only to see a psychiatrist, but most of the users has sense of resistance on psychiatrist. Meanwhile most of the existing systems are psychological tests for entertainment, whose results cannot be accurately analyzed. On basis of this phenomenon, we develop the Baymax system to construct a relation between the potential patients’ motion and a specific models in order to analyze the user’s mental conditions and predict his or her potentialities for suffering certain mental diseases, by exerting and exploring the user’s short messages, online diaries, and communicative information on social media, as well as the questionnaires accomplished by the user. Our system uses big data analysis method, and allows users to use the system to determine whether there is a possibility of mental illness in the absence of a psychiatrist.

AB - Nowadays people are facing various psychological problems. Existing solution of evaluation and treatment of mental illness is only to see a psychiatrist, but most of the users has sense of resistance on psychiatrist. Meanwhile most of the existing systems are psychological tests for entertainment, whose results cannot be accurately analyzed. On basis of this phenomenon, we develop the Baymax system to construct a relation between the potential patients’ motion and a specific models in order to analyze the user’s mental conditions and predict his or her potentialities for suffering certain mental diseases, by exerting and exploring the user’s short messages, online diaries, and communicative information on social media, as well as the questionnaires accomplished by the user. Our system uses big data analysis method, and allows users to use the system to determine whether there is a possibility of mental illness in the absence of a psychiatrist.

KW - Data mining

KW - Mental health

UR - https://www.scopus.com/pages/publications/85030105482

U2 - 10.1007/978-981-10-6388-6_48

DO - 10.1007/978-981-10-6388-6_48

M3 - 会议稿件

AN - SCOPUS:85030105482

SN - 9789811063879

T3 - Communications in Computer and Information Science

SP - 568

EP - 571

BT - Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings

A2 - Han, Qilong

A2 - Zou, Beiji

A2 - Peng, Xiaoning

A2 - Lu, Zeguang

A2 - Sun, Guanglu

A2 - Jing, Weipeng

PB - Springer Verlag

Y2 - 22 September 2017 through 24 September 2017

ER -

Yuan F, Wang H, Tian S, Tong X. Baymax: A mental-analyzing mobile app based on big data. In Han Q, Zou B, Peng X, Lu Z, Sun G, Jing W, editors, Data Science - 3rd International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Proceedings. Springer Verlag. 2017. p. 568-571. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-6388-6_48

Baymax: A mental-analyzing mobile app based on big data

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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