Matches in SemOpenAlex for { <https://semopenalex.org/work/W2884062351> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2884062351 abstract "Fuzzy logic has different approaches for enhancing personal health care delivery. Currently, breast cancer is rated as the second leading cause of death among women. Previous studies using fuzzy logic were directed at reoccurrence/survivability. However, there is need for early identification of the predisposing factors of the disease and its elimination. This study focuses on developing a Mobile-based Fuzzy Expert System (MFES) to predict an individual risk of initial cancer growth. The predisposing risk factors of breast cancer were elicited from four domain experts through direct contact; this was used to generate the fuzzy rules. The fuzzy inference approach was employed to formulate the membership functions.Mamdani approach was used for the system design. The system accommodates imprecision, tolerance and uncertainty to achieve tractability, robustness and low cost. Java expert system shell running on Android operating system was used to achieve the mobile technology aspect. For the purpose of system evaluation, 2500 data were collected from two health care centers in Nigeria using random sampling. The result indicated that the fact elicited from the experts served as range values for the 12 risk factors for fuzzification of the input and thus, 36 rules were generated. The rules were used for the system development. The developed MFES recorded 96% accuracy. It is therefore recommended that MFES be used to detect breast cancer risk levels early enough. The main contribution of this work is to reduce the incidence rate in contrast to the existing methods currently applied in the diagnosis of breast cancer. Keywords : Soft Computing, Fuzzy Set, Breast Cancer, Risk Factors, Membership Functions" @default.
- W2884062351 created "2018-08-03" @default.
- W2884062351 creator A5004745181 @default.
- W2884062351 creator A5020102149 @default.
- W2884062351 creator A5028233661 @default.
- W2884062351 creator A5073237066 @default.
- W2884062351 date "2018-06-20" @default.
- W2884062351 modified "2023-09-26" @default.
- W2884062351 title "DESIGN AND IMPLEMENTATION OF A MOBILE BASED FUZZY EXPERT SYSTEM FOR PRE BREAST CANCER GROWTH PROGNOSIS" @default.
- W2884062351 doi "https://doi.org/10.26483/ijarcs.v9i3.6116" @default.
- W2884062351 hasPublicationYear "2018" @default.
- W2884062351 type Work @default.
- W2884062351 sameAs 2884062351 @default.
- W2884062351 citedByCount "1" @default.
- W2884062351 countsByYear W28840623512022 @default.
- W2884062351 crossrefType "journal-article" @default.
- W2884062351 hasAuthorship W2884062351A5004745181 @default.
- W2884062351 hasAuthorship W2884062351A5020102149 @default.
- W2884062351 hasAuthorship W2884062351A5028233661 @default.
- W2884062351 hasAuthorship W2884062351A5073237066 @default.
- W2884062351 hasBestOaLocation W28840623511 @default.
- W2884062351 hasConcept C104317684 @default.
- W2884062351 hasConcept C119857082 @default.
- W2884062351 hasConcept C121608353 @default.
- W2884062351 hasConcept C124101348 @default.
- W2884062351 hasConcept C126322002 @default.
- W2884062351 hasConcept C154945302 @default.
- W2884062351 hasConcept C185592680 @default.
- W2884062351 hasConcept C186108316 @default.
- W2884062351 hasConcept C195975749 @default.
- W2884062351 hasConcept C41008148 @default.
- W2884062351 hasConcept C530470458 @default.
- W2884062351 hasConcept C55493867 @default.
- W2884062351 hasConcept C58166 @default.
- W2884062351 hasConcept C58328972 @default.
- W2884062351 hasConcept C63479239 @default.
- W2884062351 hasConcept C71924100 @default.
- W2884062351 hasConceptScore W2884062351C104317684 @default.
- W2884062351 hasConceptScore W2884062351C119857082 @default.
- W2884062351 hasConceptScore W2884062351C121608353 @default.
- W2884062351 hasConceptScore W2884062351C124101348 @default.
- W2884062351 hasConceptScore W2884062351C126322002 @default.
- W2884062351 hasConceptScore W2884062351C154945302 @default.
- W2884062351 hasConceptScore W2884062351C185592680 @default.
- W2884062351 hasConceptScore W2884062351C186108316 @default.
- W2884062351 hasConceptScore W2884062351C195975749 @default.
- W2884062351 hasConceptScore W2884062351C41008148 @default.
- W2884062351 hasConceptScore W2884062351C530470458 @default.
- W2884062351 hasConceptScore W2884062351C55493867 @default.
- W2884062351 hasConceptScore W2884062351C58166 @default.
- W2884062351 hasConceptScore W2884062351C58328972 @default.
- W2884062351 hasConceptScore W2884062351C63479239 @default.
- W2884062351 hasConceptScore W2884062351C71924100 @default.
- W2884062351 hasLocation W28840623511 @default.
- W2884062351 hasOpenAccess W2884062351 @default.
- W2884062351 hasPrimaryLocation W28840623511 @default.
- W2884062351 hasRelatedWork W1498137961 @default.
- W2884062351 hasRelatedWork W1646395120 @default.
- W2884062351 hasRelatedWork W1667078291 @default.
- W2884062351 hasRelatedWork W1816975014 @default.
- W2884062351 hasRelatedWork W1975250652 @default.
- W2884062351 hasRelatedWork W2019508360 @default.
- W2884062351 hasRelatedWork W2021212601 @default.
- W2884062351 hasRelatedWork W2130227469 @default.
- W2884062351 hasRelatedWork W2181447501 @default.
- W2884062351 hasRelatedWork W2250033699 @default.
- W2884062351 hasRelatedWork W2593494441 @default.
- W2884062351 hasRelatedWork W2674025757 @default.
- W2884062351 hasRelatedWork W2760056524 @default.
- W2884062351 hasRelatedWork W2792467012 @default.
- W2884062351 hasRelatedWork W2907255706 @default.
- W2884062351 hasRelatedWork W2907773281 @default.
- W2884062351 hasRelatedWork W2914540990 @default.
- W2884062351 hasRelatedWork W2944762582 @default.
- W2884062351 hasRelatedWork W3009339546 @default.
- W2884062351 hasRelatedWork W53938799 @default.
- W2884062351 isParatext "false" @default.
- W2884062351 isRetracted "false" @default.
- W2884062351 magId "2884062351" @default.
- W2884062351 workType "article" @default.