Matches in SemOpenAlex for { <https://semopenalex.org/work/W3202600797> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3202600797 abstract "Abstract With the objective to automatically detect diseases from symptoms in free‐text data, a methodology to extract symptom‐diagnosis knowledge from online medical textual data in Q&A domain is proposed in this paper: (1) a term frequency‐inverse document frequency and PRECISION method is adopted to retrieve symptom words from unstructured text; (2) a variable precision rough set based genetic algorithm is applied to reduce redundant symptom words, and a rough set based rule is utilized for adding discriminative symptom words assisting to discriminate diseases sharing similar symptoms; (3) by employing fuzzy linguistic variables to express the risk level of disease or severity level of symptoms, a knowledge base with fuzzy belief structure is generated. Using data extracted from a Chinese medical Q&A forum for training and testing, some classical gastrointestinal diseases serve as a case study to evaluate the efficiency of the proposed methodology. Subsequently performance comparisons are made between the proposed methodology and some other classifiers, such as the decision tree algorithms including ID3 and J45, and the Bayesian network classifier. The comparative results demonstrate that the proposed methodology outperforms the decision tree algorithms and the Bayesian network classifier." @default.
- W3202600797 created "2021-10-11" @default.
- W3202600797 creator A5023263037 @default.
- W3202600797 creator A5082976295 @default.
- W3202600797 date "2021-09-24" @default.
- W3202600797 modified "2023-09-27" @default.
- W3202600797 title "Eliciting symptom‐diagnosis knowledge from online medical Q&A" @default.
- W3202600797 cites W1270312698 @default.
- W3202600797 cites W1516041857 @default.
- W3202600797 cites W1814363168 @default.
- W3202600797 cites W1968430704 @default.
- W3202600797 cites W1986908923 @default.
- W3202600797 cites W1996034123 @default.
- W3202600797 cites W1997362234 @default.
- W3202600797 cites W2001235041 @default.
- W3202600797 cites W2005730928 @default.
- W3202600797 cites W2009790391 @default.
- W3202600797 cites W2024643640 @default.
- W3202600797 cites W2025083459 @default.
- W3202600797 cites W2040768922 @default.
- W3202600797 cites W2041789624 @default.
- W3202600797 cites W2059644607 @default.
- W3202600797 cites W2068663186 @default.
- W3202600797 cites W2074544359 @default.
- W3202600797 cites W2080075366 @default.
- W3202600797 cites W2087745828 @default.
- W3202600797 cites W2089178696 @default.
- W3202600797 cites W2095717214 @default.
- W3202600797 cites W2096252540 @default.
- W3202600797 cites W2099794271 @default.
- W3202600797 cites W2100284472 @default.
- W3202600797 cites W2113986484 @default.
- W3202600797 cites W2126029446 @default.
- W3202600797 cites W2140364226 @default.
- W3202600797 cites W2165687409 @default.
- W3202600797 cites W2187005605 @default.
- W3202600797 cites W2196478059 @default.
- W3202600797 cites W2196737581 @default.
- W3202600797 cites W2344395450 @default.
- W3202600797 cites W2497418148 @default.
- W3202600797 cites W2592420893 @default.
- W3202600797 cites W2610437876 @default.
- W3202600797 cites W2619565710 @default.
- W3202600797 cites W2674025757 @default.
- W3202600797 cites W2730718977 @default.
- W3202600797 cites W2766615515 @default.
- W3202600797 cites W2768488789 @default.
- W3202600797 cites W2790913053 @default.
- W3202600797 cites W4255833381 @default.
- W3202600797 doi "https://doi.org/10.1111/exsy.12821" @default.
- W3202600797 hasPublicationYear "2021" @default.
- W3202600797 type Work @default.
- W3202600797 sameAs 3202600797 @default.
- W3202600797 citedByCount "0" @default.
- W3202600797 crossrefType "journal-article" @default.
- W3202600797 hasAuthorship W3202600797A5023263037 @default.
- W3202600797 hasAuthorship W3202600797A5082976295 @default.
- W3202600797 hasConcept C111012933 @default.
- W3202600797 hasConcept C119857082 @default.
- W3202600797 hasConcept C124101348 @default.
- W3202600797 hasConcept C154945302 @default.
- W3202600797 hasConcept C33724603 @default.
- W3202600797 hasConcept C41008148 @default.
- W3202600797 hasConcept C58166 @default.
- W3202600797 hasConcept C84525736 @default.
- W3202600797 hasConcept C95623464 @default.
- W3202600797 hasConcept C97931131 @default.
- W3202600797 hasConceptScore W3202600797C111012933 @default.
- W3202600797 hasConceptScore W3202600797C119857082 @default.
- W3202600797 hasConceptScore W3202600797C124101348 @default.
- W3202600797 hasConceptScore W3202600797C154945302 @default.
- W3202600797 hasConceptScore W3202600797C33724603 @default.
- W3202600797 hasConceptScore W3202600797C41008148 @default.
- W3202600797 hasConceptScore W3202600797C58166 @default.
- W3202600797 hasConceptScore W3202600797C84525736 @default.
- W3202600797 hasConceptScore W3202600797C95623464 @default.
- W3202600797 hasConceptScore W3202600797C97931131 @default.
- W3202600797 hasFunder F4320321001 @default.
- W3202600797 hasIssue "1" @default.
- W3202600797 hasLocation W32026007971 @default.
- W3202600797 hasOpenAccess W3202600797 @default.
- W3202600797 hasPrimaryLocation W32026007971 @default.
- W3202600797 hasRelatedWork W1470425429 @default.
- W3202600797 hasRelatedWork W1481146139 @default.
- W3202600797 hasRelatedWork W2129933262 @default.
- W3202600797 hasRelatedWork W2285198420 @default.
- W3202600797 hasRelatedWork W2353774927 @default.
- W3202600797 hasRelatedWork W2936891942 @default.
- W3202600797 hasRelatedWork W3185179407 @default.
- W3202600797 hasRelatedWork W4205478082 @default.
- W3202600797 hasRelatedWork W4318350883 @default.
- W3202600797 hasRelatedWork W4328134586 @default.
- W3202600797 hasVolume "39" @default.
- W3202600797 isParatext "false" @default.
- W3202600797 isRetracted "false" @default.
- W3202600797 magId "3202600797" @default.
- W3202600797 workType "article" @default.