Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database

Cheng Che Shen; Ya Han Hu; I. Chiu Chang

Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database

Cheng Che Shen, Ya Han Hu, I. Chiu Chang

Department of Information Management

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

Original language	English
Title of host publication	Smart Health - International Conference, ICSH 2017, Proceedings
Editors	Elena Karahanna, Indranil Bardhan, Hsinchun Chen, Daniel Dajun Zeng
Publisher	Springer Verlag
Pages	295-298
Number of pages	4
ISBN (Print)	9783319679631
State	Published - 2017
Event	International Conference on Smart Health, ICSH 2017 - Hong Kong, Hong Kong Duration: 26 Jun 2017 → 27 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10347 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Smart Health, ICSH 2017
Country/Territory	Hong Kong
City	Hong Kong
Period	26/06/17 → 27/06/17

Cite this

Shen, C. C., Hu, Y. H., & Chang, I. C. (2017). Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database. In E. Karahanna, I. Bardhan, H. Chen, & D. D. Zeng (Eds.), Smart Health - International Conference, ICSH 2017, Proceedings (pp. 295-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10347 LNCS). Springer Verlag.

Shen, Cheng Che ; Hu, Ya Han ; Chang, I. Chiu. / Predictors for switch from unipolar major depressive disorder to bipolar disorder : Applying classification and regression trees method to the Taiwan national health insurance database. Smart Health - International Conference, ICSH 2017, Proceedings. editor / Elena Karahanna ; Indranil Bardhan ; Hsinchun Chen ; Daniel Dajun Zeng. Springer Verlag, 2017. pp. 295-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{cd7ef801982f40609c85c746672d669d,

title = "Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database",

author = "Shen, {Cheng Che} and Hu, {Ya Han} and Chang, {I. Chiu}",

year = "2017",

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isbn = "9783319679631",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "295--298",

editor = "Elena Karahanna and Indranil Bardhan and Hsinchun Chen and Zeng, {Daniel Dajun}",

booktitle = "Smart Health - International Conference, ICSH 2017, Proceedings",

note = "International Conference on Smart Health, ICSH 2017 ; Conference date: 26-06-2017 Through 27-06-2017",

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Shen, CC, Hu, YH & Chang, IC 2017, Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database. in E Karahanna, I Bardhan, H Chen & DD Zeng (eds), Smart Health - International Conference, ICSH 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10347 LNCS, Springer Verlag, pp. 295-298, International Conference on Smart Health, ICSH 2017, Hong Kong, Hong Kong, 26/06/17.

Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database. / Shen, Cheng Che; Hu, Ya Han; Chang, I. Chiu.
Smart Health - International Conference, ICSH 2017, Proceedings. ed. / Elena Karahanna; Indranil Bardhan; Hsinchun Chen; Daniel Dajun Zeng. Springer Verlag, 2017. p. 295-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10347 LNCS).

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

TY - GEN

T1 - Predictors for switch from unipolar major depressive disorder to bipolar disorder

T2 - International Conference on Smart Health, ICSH 2017

AU - Shen, Cheng Che

AU - Hu, Ya Han

AU - Chang, I. Chiu

PY - 2017

Y1 - 2017

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M3 - 會議論文篇章

AN - SCOPUS:85033446338

SN - 9783319679631

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 295

EP - 298

BT - Smart Health - International Conference, ICSH 2017, Proceedings

A2 - Karahanna, Elena

A2 - Bardhan, Indranil

A2 - Chen, Hsinchun

A2 - Zeng, Daniel Dajun

PB - Springer Verlag

Y2 - 26 June 2017 through 27 June 2017

ER -

Shen CC, Hu YH, Chang IC. Predictors for switch from unipolar major depressive disorder to bipolar disorder: Applying classification and regression trees method to the Taiwan national health insurance database. In Karahanna E, Bardhan I, Chen H, Zeng DD, editors, Smart Health - International Conference, ICSH 2017, Proceedings. Springer Verlag. 2017. p. 295-298. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).