Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.

March 2011

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Asıl Yazarlar: Kayode, Aderonke Anthonia, Akhigbe, Bernard Ijesunor, Afolabi, Babajide, Udo, Ifiok, Ominiyi, Adedayo O
Materyal Türü: Dergi
Dil:İngilizce
Baskı/Yayın Bilgisi: IJCSI 2023
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Online Erişim:https://ir.oauife.edu.ng/123456789/5539
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author Kayode, Aderonke Anthonia
Akhigbe, Bernard Ijesunor
Afolabi, Babajide
Udo, Ifiok
Ominiyi, Adedayo O
author_facet Kayode, Aderonke Anthonia
Akhigbe, Bernard Ijesunor
Afolabi, Babajide
Udo, Ifiok
Ominiyi, Adedayo O
author_sort Kayode, Aderonke Anthonia
collection DSpace
description March 2011
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spelling oai:ir.oauife.edu.ng:123456789-55392023-05-13T18:08:06Z Decision Support System for Histopathological Diagnosis of Breast Diseases in Women. Kayode, Aderonke Anthonia Akhigbe, Bernard Ijesunor Afolabi, Babajide Udo, Ifiok Ominiyi, Adedayo O Histological features Histopathological diagnosis Expert knowledge Diagnostic knowledge Pathologist Decision Support System March 2011 This paper presents a representation of histological features for histopathological diagnosis of breast diseases in women. Hence, a Decision Support System (DSS) for histopathological interpretation and diagnosis of breast diseases was implemented and evaluated. The Expert knowledge used was elicited through interview and literature search. The needed diagnostic knowledge was represented using diseases’ profile in the form of frame. UML, JAVA and MYSQL were used for the design and implementation of the system. 150 samples of retrospective cases were used for the system’s implementation, while a Consultant Pathologist’s interpretation was used to evaluate the system. Results for Sensitivity, Specificity, Positive Prediction Value and the Negative Prediction Value are 97.7%, 95.0%, 99.2% and 86.3% respectively. Thus, the result showed that the system is capable of assisting an inexperience pathologist in making accurate, consistent and timely diagnoses, also in the study of diagnostic protocol, education, self-assessment, and quality control 2023-05-13T17:55:14Z 2023-05-13T17:55:14Z 2011-03 Journal Kayode A.A, Akhigbe B.I, Afolabi B, Udo.I, Omoniyi A.O. Decision Support System for Histopathological Diagnosis of Breast Diseases in Women. 1694-0814 https://ir.oauife.edu.ng/123456789/5539 en application/pdf IJCSI
spellingShingle Histological features
Histopathological diagnosis
Expert knowledge
Diagnostic knowledge
Pathologist
Decision Support System
Kayode, Aderonke Anthonia
Akhigbe, Bernard Ijesunor
Afolabi, Babajide
Udo, Ifiok
Ominiyi, Adedayo O
Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.
title Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.
title_full Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.
title_fullStr Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.
title_full_unstemmed Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.
title_short Decision Support System for Histopathological Diagnosis of Breast Diseases in Women.
title_sort decision support system for histopathological diagnosis of breast diseases in women
topic Histological features
Histopathological diagnosis
Expert knowledge
Diagnostic knowledge
Pathologist
Decision Support System
url https://ir.oauife.edu.ng/123456789/5539
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AT afolabibabajide decisionsupportsystemforhistopathologicaldiagnosisofbreastdiseasesinwomen
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