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 BookConference contribution

1 Citation (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 languageEnglish
Title of host publicationE-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings
EditorsHiroshi Takeda
Place of PublicationUnited States
PublisherSpringer
Pages226-227
Number of pages2
ISBN (Print)9783642155147
DOIs
Publication statusPublished - 2010
EventInternational E-Health Joint Conference 2010 - Brisbane, Australia
Duration: 20 Sep 201023 Sep 2010

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume335
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

ConferenceInternational E-Health Joint Conference 2010
CountryAustralia
CityBrisbane
Period20/09/1023/09/10

Fingerprint

Pathology
Decision trees
Processing

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). United States: 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).
@inproceedings{5b47daa904934f8fa43e7a409604eb21,
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",
language = "English",
isbn = "9783642155147",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer",
pages = "226--227",
editor = "Hiroshi Takeda",
booktitle = "E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010: Held as part of WCC 2010: Proceedings",
address = "Netherlands",

}

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 BookConference contribution

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

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). https://doi.org/10.1007/978-3-642-15515-4_25