FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3199972011> ?p ?o ?g. }

• W3199972011 endingPage "102737" @default.
• W3199972011 startingPage "102737" @default.
• W3199972011 abstract "Substantial real cases can be formed in current online medical platforms, constituting potentially rich commercial medical value. In order to obtain the value, it is necessary to mine the preference for user perceived cancer risk in online medical platforms. However, user preference in the platforms varies with medical inquiry text environments, and a user's disease-specific online medical inquiry text environment would also affect his/her behavioral decisions in real time. In this sense, considering the inner relations between different contexts and user preferences under different diseases-specific inquiry text environments and integrating early cancer texts will facilitate the exploration on the law of preference for user perceived cancer risk. Therefore, in this paper, the matrix decomposition and Labeled-LDA models are expanded to propose a context-based method to access the preference for user perceived cancer risk. Firstly, modeling on the relationship between user preferences and information in multi-dimensional context is carried out, and the universal method of integrating multi-dimensional contextual information with user preferences is analyzed. Moreover, more accurate user references were obtained under the multi-dimensional text space and multi-dimensional disease space. Secondly, the similarity relationships between all disease-specific online medical inquiries and early cancer texts are used to obtain user perceived cancer risk, thus knowing the online medical inquiry texts of user cognized diseases and perceiving the cancer risk. Lastly, by accessing the user preferences under different disease topics and user perceived cancer risk in multi-dimensional contexts, the preference for user perceived cancer risk is obtained in a more accurate way. Based on the large-volume real-world dataset, the relationship between each context and user preferences is assessed, and it is concluded that the method proposed in this paper is superior to MF-LDA method in obtaining the preference for user perceived cancer risk. This indicates that the proposed method not only expresses user perceived risk, but also clearly expresses the characteristics of user's preference. Furthermore, it is verified that the integration of context with early cancer text and the establishment of user preference model are feasible and effective." @default.
• W3199972011 created "2021-09-27" @default.
• W3199972011 creator A5012190149 @default.
• W3199972011 creator A5021687717 @default.
• W3199972011 creator A5061556614 @default.
• W3199972011 date "2022-01-01" @default.
• W3199972011 modified "2023-10-15" @default.
• W3199972011 title "Preference access of users' cancer risk perception using disease-specific online medical inquiry texts" @default.
• W3199972011 cites W1543379616 @default.
• W3199972011 cites W1595938920 @default.
• W3199972011 cites W1967304420 @default.
• W3199972011 cites W1981132368 @default.
• W3199972011 cites W1995232243 @default.
• W3199972011 cites W1997676301 @default.
• W3199972011 cites W2001082470 @default.
• W3199972011 cites W2003062981 @default.
• W3199972011 cites W2004830530 @default.
• W3199972011 cites W2013801048 @default.
• W3199972011 cites W2015821242 @default.
• W3199972011 cites W2018050673 @default.
• W3199972011 cites W2021635251 @default.
• W3199972011 cites W2022751839 @default.
• W3199972011 cites W2048195127 @default.
• W3199972011 cites W2050173355 @default.
• W3199972011 cites W2070978934 @default.
• W3199972011 cites W2072550340 @default.
• W3199972011 cites W2073977380 @default.
• W3199972011 cites W2075126482 @default.
• W3199972011 cites W2076610093 @default.
• W3199972011 cites W2095752991 @default.
• W3199972011 cites W2107532769 @default.
• W3199972011 cites W2114444176 @default.
• W3199972011 cites W2119948873 @default.
• W3199972011 cites W2132314509 @default.
• W3199972011 cites W2136389316 @default.
• W3199972011 cites W2136859388 @default.
• W3199972011 cites W2142564546 @default.
• W3199972011 cites W2145383707 @default.
• W3199972011 cites W2146346888 @default.
• W3199972011 cites W2148815800 @default.
• W3199972011 cites W2157289081 @default.
• W3199972011 cites W2161186120 @default.
• W3199972011 cites W2171960770 @default.
• W3199972011 cites W2315671882 @default.
• W3199972011 cites W2370336089 @default.
• W3199972011 cites W2460863069 @default.
• W3199972011 cites W2522349215 @default.
• W3199972011 cites W2523625823 @default.
• W3199972011 cites W2765424380 @default.
• W3199972011 cites W2767250866 @default.
• W3199972011 cites W2772849600 @default.
• W3199972011 cites W2805528009 @default.
• W3199972011 cites W2906243336 @default.
• W3199972011 cites W2993129532 @default.
• W3199972011 cites W2994833293 @default.
• W3199972011 cites W3002362995 @default.
• W3199972011 cites W3015565988 @default.
• W3199972011 cites W3087954142 @default.
• W3199972011 cites W3124387699 @default.
• W3199972011 cites W3125027579 @default.
• W3199972011 cites W4255036066 @default.
• W3199972011 cites W4376454144 @default.
• W3199972011 doi "https://doi.org/10.1016/j.ipm.2021.102737" @default.
• W3199972011 hasPublicationYear "2022" @default.
• W3199972011 type Work @default.
• W3199972011 sameAs 3199972011 @default.
• W3199972011 citedByCount "2" @default.
• W3199972011 countsByYear W31999720112023 @default.
• W3199972011 crossrefType "journal-article" @default.
• W3199972011 hasAuthorship W3199972011A5012190149 @default.
• W3199972011 hasAuthorship W3199972011A5021687717 @default.
• W3199972011 hasAuthorship W3199972011A5061556614 @default.
• W3199972011 hasConcept C105795698 @default.
• W3199972011 hasConcept C111919701 @default.
• W3199972011 hasConcept C119857082 @default.
• W3199972011 hasConcept C121608353 @default.
• W3199972011 hasConcept C126322002 @default.
• W3199972011 hasConcept C136764020 @default.
• W3199972011 hasConcept C142724271 @default.
• W3199972011 hasConcept C151730666 @default.
• W3199972011 hasConcept C15744967 @default.
• W3199972011 hasConcept C163355716 @default.
• W3199972011 hasConcept C169760540 @default.
• W3199972011 hasConcept C23123220 @default.
• W3199972011 hasConcept C26760741 @default.
• W3199972011 hasConcept C2776035688 @default.
• W3199972011 hasConcept C2776291640 @default.
• W3199972011 hasConcept C2778572836 @default.
• W3199972011 hasConcept C2779134260 @default.
• W3199972011 hasConcept C2779343474 @default.
• W3199972011 hasConcept C2781249084 @default.
• W3199972011 hasConcept C33923547 @default.
• W3199972011 hasConcept C41008148 @default.
• W3199972011 hasConcept C46312422 @default.
• W3199972011 hasConcept C71924100 @default.
• W3199972011 hasConcept C86803240 @default.
• W3199972011 hasConcept C89505385 @default.
• W3199972011 hasConceptScore W3199972011C105795698 @default.

• next