Predicting patient presentation rates at mass gatherings using machine learning

Peter Serwylo; Paul Andrew Arbon; Grace Widjaja Rumantir

Predicting patient presentation rates at mass gatherings using machine learning

Peter Serwylo, Paul Andrew Arbon, Grace Widjaja Rumantir

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

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management
Editors	Maria A Santos, Luisa Sousa, Eliane Portela
Place of Publication	Lisbon Portugal
Publisher	National Civil Engineering Laboratory
Pages	1 - 10
Number of pages	10
Publication status	Published - 2011
Event	International Conference on Information Systems for Crisis Response and Management 2011 - LNEC Congress Centre, Lisbon, Portugal Duration: 8 May 2011 → 11 May 2011 Conference number: 8th http://www.iscram.org/taxonomy/term/1

Conference

Conference	International Conference on Information Systems for Crisis Response and Management 2011
Abbreviated title	ISCRAM 2011
Country	Portugal
City	Lisbon
Period	8/05/11 → 11/05/11
Other	ISCRAM2011 From early-warning systems to preparedness and training 8th International Conference on Information Systems for Crisis Response and Management May 8-11 2011 LNEC Congress Centre Lisbon, Portugal http://iscram2011.lnec.pt
Internet address	http://www.iscram.org/taxonomy/term/1

Cite this

Serwylo, Peter ; Arbon, Paul Andrew ; Rumantir, Grace Widjaja. / Predicting patient presentation rates at mass gatherings using machine learning. Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management. editor / Maria A Santos ; Luisa Sousa ; Eliane Portela. Lisbon Portugal : National Civil Engineering Laboratory, 2011. pp. 1 - 10

@inproceedings{c63d9a6ad1014b899245e85f2b78ca85,

title = "Predicting patient presentation rates at mass gatherings using machine learning",

author = "Peter Serwylo and Arbon, {Paul Andrew} and Rumantir, {Grace Widjaja}",

year = "2011",

language = "English",

pages = "1 -- 10",

editor = "Santos, {Maria A} and Luisa Sousa and Eliane Portela",

booktitle = "Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management",

publisher = "National Civil Engineering Laboratory",

note = "International Conference on Information Systems for Crisis Response and Management 2011, ISCRAM 2011 ; Conference date: 08-05-2011 Through 11-05-2011",

url = "http://www.iscram.org/taxonomy/term/1",

}

Serwylo, P, Arbon, PA & Rumantir, GW 2011, Predicting patient presentation rates at mass gatherings using machine learning. in MA Santos, L Sousa & E Portela (eds), Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management. National Civil Engineering Laboratory, Lisbon Portugal, pp. 1 - 10, International Conference on Information Systems for Crisis Response and Management 2011, Lisbon, Portugal, 8/05/11.

Predicting patient presentation rates at mass gatherings using machine learning. / Serwylo, Peter; Arbon, Paul Andrew; Rumantir, Grace Widjaja.

Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management. ed. / Maria A Santos; Luisa Sousa; Eliane Portela. Lisbon Portugal : National Civil Engineering Laboratory, 2011. p. 1 - 10.

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

TY - GEN

T1 - Predicting patient presentation rates at mass gatherings using machine learning

AU - Serwylo, Peter

AU - Arbon, Paul Andrew

AU - Rumantir, Grace Widjaja

N1 - Conference code: 8th

PY - 2011

Y1 - 2011

M3 - Conference Paper

SP - 1

EP - 10

BT - Proceedings of the 8th International Conference on Information Systems for Crisis Response and Management

A2 - Santos, Maria A

A2 - Sousa, Luisa

A2 - Portela, Eliane

PB - National Civil Engineering Laboratory

CY - Lisbon Portugal

T2 - International Conference on Information Systems for Crisis Response and Management 2011

Y2 - 8 May 2011 through 11 May 2011

ER -