Learning from pathology databases to improve the laboratory diagnosis of infectious diseases

Alice Richardson; Fariba Shadabi; Brett Lidbury

doi:10.1007/978-3-642-15515-4_25

Learning from pathology databases to improve the laboratory diagnosis of infectious diseases

Alice Richardson, Fariba Shadabi, Brett Lidbury

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This paper investigates the effect of data pre-processing and the use of ensemble on the accuracy of decision trees. The methodology is illustrated using a previously unanalysed data set from ACT Pathology (Canberra, Australia) relating to Hepatitis B and Hepatitis C patients

Original language	English
Title of host publication	E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings
Editors	Hiroshi Takeda
Place of Publication	United States
Publisher	Springer
Pages	226-227
Number of pages	2
ISBN (Print)	9783642155147
DOIs	https://doi.org/10.1007/978-3-642-15515-4_25
Publication status	Published - 2010
Event	International E-Health Joint Conference 2010 - Brisbane, Australia Duration: 20 Sept 2010 → 23 Sept 2010

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer
Volume	335
ISSN (Print)	1868-4238
ISSN (Electronic)	1868-422X

Conference

Conference	International E-Health Joint Conference 2010
Country/Territory	Australia
City	Brisbane
Period	20/09/10 → 23/09/10

UN SDGs

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

Access to Document

10.1007/978-3-642-15515-4_25

Cite this

Richardson, A., Shadabi, F., & Lidbury, B. (2010). Learning from pathology databases to improve the laboratory diagnosis of infectious diseases. In H. Takeda (Ed.), E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings (pp. 226-227). (IFIP Advances in Information and Communication Technology; Vol. 335). Springer. https://doi.org/10.1007/978-3-642-15515-4_25

Richardson, Alice ; Shadabi, Fariba ; Lidbury, Brett. / Learning from pathology databases to improve the laboratory diagnosis of infectious diseases. E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings. editor / Hiroshi Takeda. United States : Springer, 2010. pp. 226-227 (IFIP Advances in Information and Communication Technology).

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title = "Learning from pathology databases to improve the laboratory diagnosis of infectious diseases",

abstract = "This paper investigates the effect of data pre-processing and the use of ensemble on the accuracy of decision trees. The methodology is illustrated using a previously unanalysed data set from ACT Pathology (Canberra, Australia) relating to Hepatitis B and Hepatitis C patients",

author = "Alice Richardson and Fariba Shadabi and Brett Lidbury",

year = "2010",

doi = "10.1007/978-3-642-15515-4_25",

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isbn = "9783642155147",

series = "IFIP Advances in Information and Communication Technology",

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booktitle = "E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings",

address = "Netherlands",

note = "International E-Health Joint Conference 2010 ; Conference date: 20-09-2010 Through 23-09-2010",

}

Richardson, A, Shadabi, F & Lidbury, B 2010, Learning from pathology databases to improve the laboratory diagnosis of infectious diseases. in H Takeda (ed.), E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings. IFIP Advances in Information and Communication Technology, vol. 335, Springer, United States, pp. 226-227, International E-Health Joint Conference 2010, Brisbane, Australia, 20/09/10. https://doi.org/10.1007/978-3-642-15515-4_25

Learning from pathology databases to improve the laboratory diagnosis of infectious diseases. / Richardson, Alice; Shadabi, Fariba; Lidbury, Brett.
E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings. ed. / Hiroshi Takeda. United States: Springer, 2010. p. 226-227 (IFIP Advances in Information and Communication Technology; Vol. 335).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Learning from pathology databases to improve the laboratory diagnosis of infectious diseases

AU - Richardson, Alice

AU - Shadabi, Fariba

AU - Lidbury, Brett

PY - 2010

Y1 - 2010

N2 - This paper investigates the effect of data pre-processing and the use of ensemble on the accuracy of decision trees. The methodology is illustrated using a previously unanalysed data set from ACT Pathology (Canberra, Australia) relating to Hepatitis B and Hepatitis C patients

AB - This paper investigates the effect of data pre-processing and the use of ensemble on the accuracy of decision trees. The methodology is illustrated using a previously unanalysed data set from ACT Pathology (Canberra, Australia) relating to Hepatitis B and Hepatitis C patients

U2 - 10.1007/978-3-642-15515-4_25

DO - 10.1007/978-3-642-15515-4_25

M3 - Conference contribution

SN - 9783642155147

T3 - IFIP Advances in Information and Communication Technology

SP - 226

EP - 227

BT - E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings

A2 - Takeda, Hiroshi

PB - Springer

CY - United States

T2 - International E-Health Joint Conference 2010

Y2 - 20 September 2010 through 23 September 2010

ER -

Richardson A, Shadabi F, Lidbury B. Learning from pathology databases to improve the laboratory diagnosis of infectious diseases. In Takeda H, editor, E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings. United States: Springer. 2010. p. 226-227. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-642-15515-4_25

Learning from pathology databases to improve the laboratory diagnosis of infectious diseases

Abstract

Publication series

Conference

UN SDGs

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