A new two-feature FAM-matrix classifier for breast cancer diagnosis

Tijana Ivancevic; Lakhmi Jain; Murk Bottema

doi:10.1109/KES.1999.820184

A new two-feature FAM-matrix classifier for breast cancer diagnosis

Tijana Ivancevic
, Lakhmi Jain
, Murk Bottema

College of Science and Engineering

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

8 Citations (Scopus)

Abstract

In this paper a fuzzy-logic FAM-matrix classifier is used for the classification (diagnosis) of breast cancer. It is implemented in `Mathematica 3.0' and tested on two features, radius and perimeter, from the Wisconsin breast cancer database. Sensitivity of FAM-matrix classifier is 94.29%, and specificity is 73.33%.

Original language	English
Title of host publication	1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems
Editors	L. C. Jain
Place of Publication	Piscataway, NJ, USA
Pages	305-308
Number of pages	4
DOIs	https://doi.org/10.1109/KES.1999.820184
Publication status	Published - 1999
Event	Proceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99) - Adelaide, Aust Duration: 31 Aug 1999 → 1 Sept 1999

Conference

Conference	Proceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99)
City	Adelaide, Aust
Period	31/08/99 → 1/09/99

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

FAM
fuzzy associative memory
matrix
breast cancer

Access to Document

10.1109/KES.1999.820184Licence: In Copyright

Cite this

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title = "A new two-feature FAM-matrix classifier for breast cancer diagnosis",

abstract = "In this paper a fuzzy-logic FAM-matrix classifier is used for the classification (diagnosis) of breast cancer. It is implemented in `Mathematica 3.0' and tested on two features, radius and perimeter, from the Wisconsin breast cancer database. Sensitivity of FAM-matrix classifier is 94.29\%, and specificity is 73.33\%.",

keywords = "FAM, fuzzy associative memory, matrix, breast cancer",

author = "Tijana Ivancevic and Lakhmi Jain and Murk Bottema",

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language = "English",

isbn = "0-7803-5578-4",

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booktitle = "1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems",

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Ivancevic, T, Jain, L & Bottema, M 1999, A new two-feature FAM-matrix classifier for breast cancer diagnosis. in LC Jain (ed.), 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Piscataway, NJ, USA, pp. 305-308, Proceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99), Adelaide, Aust, 31/08/99. https://doi.org/10.1109/KES.1999.820184

TY - CHAP

T1 - A new two-feature FAM-matrix classifier for breast cancer diagnosis

AU - Ivancevic, Tijana

AU - Jain, Lakhmi

AU - Bottema, Murk

PY - 1999

Y1 - 1999

N2 - In this paper a fuzzy-logic FAM-matrix classifier is used for the classification (diagnosis) of breast cancer. It is implemented in `Mathematica 3.0' and tested on two features, radius and perimeter, from the Wisconsin breast cancer database. Sensitivity of FAM-matrix classifier is 94.29%, and specificity is 73.33%.

AB - In this paper a fuzzy-logic FAM-matrix classifier is used for the classification (diagnosis) of breast cancer. It is implemented in `Mathematica 3.0' and tested on two features, radius and perimeter, from the Wisconsin breast cancer database. Sensitivity of FAM-matrix classifier is 94.29%, and specificity is 73.33%.

KW - FAM

KW - fuzzy associative memory

KW - matrix

KW - breast cancer

UR - https://www.scopus.com/pages/publications/0033324337

U2 - 10.1109/KES.1999.820184

DO - 10.1109/KES.1999.820184

M3 - Chapter

AN - SCOPUS:0033324337

SN - 0-7803-5578-4

SP - 305

EP - 308

BT - 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems

A2 - Jain, L. C.

CY - Piscataway, NJ, USA

T2 - Proceedings of the 1999 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (KES '99)

Y2 - 31 August 1999 through 1 September 1999

ER -

A new two-feature FAM-matrix classifier for breast cancer diagnosis

Abstract

Conference

UN SDGs

Keywords

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