FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040094579> ?p ?o ?g. }

• W3040094579 abstract "Type 2 diabetes (T2DM), one of the most prevalent chronic diseases, affects the glucose metabolism of the human body, which decreases the quantity of life and brings a heavy burden on social medical care. Patients with T2DM are more likely to suffer bone fragility fracture as diabetes affects bone mineral density (BMD). However, the discovery of the determinant factors of BMD in a medical way is expensive and time-consuming. In this paper, we propose a novel algorithm, Prior-Knowledge-driven local Causal structure Learning (PKCL), to discover the underlying causal mechanism between BMD and its factors from the clinical data. Since there exist limited data but redundant prior knowledge for medicine, PKCL adequately utilize the prior knowledge to mine the local causal structure for the target relationship. Combining the medical prior knowledge with the discovered causal relationships, PKCL can achieve more reliable results without long-standing medical statistical experiments. Extensive experiments are conducted on a newly provided clinical data set. The experimental study of PKCL on the data is proved to highly corresponding with existing medical knowledge, which demonstrates the superiority and effectiveness of PKCL. To illustrate the importance of prior knowledge, the result of the algorithm without prior knowledge is also investigated." @default.
• W3040094579 created "2020-07-10" @default.
• W3040094579 creator A5005467833 @default.
• W3040094579 creator A5032343817 @default.
• W3040094579 creator A5046597133 @default.
• W3040094579 creator A5048049588 @default.
• W3040094579 creator A5053396272 @default.
• W3040094579 creator A5056248574 @default.
• W3040094579 creator A5070538645 @default.
• W3040094579 creator A5074099829 @default.
• W3040094579 date "2020-06-27" @default.
• W3040094579 modified "2023-09-25" @default.
• W3040094579 title "Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density" @default.
• W3040094579 cites W140777655 @default.
• W3040094579 cites W1556316174 @default.
• W3040094579 cites W1784553320 @default.
• W3040094579 cites W1849729440 @default.
• W3040094579 cites W1965102691 @default.
• W3040094579 cites W1970501743 @default.
• W3040094579 cites W1970861901 @default.
• W3040094579 cites W1978628867 @default.
• W3040094579 cites W1983484286 @default.
• W3040094579 cites W1985260952 @default.
• W3040094579 cites W1987336909 @default.
• W3040094579 cites W1990773585 @default.
• W3040094579 cites W2012899881 @default.
• W3040094579 cites W2013339414 @default.
• W3040094579 cites W2013374740 @default.
• W3040094579 cites W2020883676 @default.
• W3040094579 cites W2031293802 @default.
• W3040094579 cites W2031779765 @default.
• W3040094579 cites W2041853272 @default.
• W3040094579 cites W2044288806 @default.
• W3040094579 cites W2062790842 @default.
• W3040094579 cites W2071198194 @default.
• W3040094579 cites W2073325756 @default.
• W3040094579 cites W2089330814 @default.
• W3040094579 cites W2103372737 @default.
• W3040094579 cites W2111165827 @default.
• W3040094579 cites W2121273346 @default.
• W3040094579 cites W2124888693 @default.
• W3040094579 cites W2125341063 @default.
• W3040094579 cites W2125637498 @default.
• W3040094579 cites W2128697411 @default.
• W3040094579 cites W2128843508 @default.
• W3040094579 cites W2129523397 @default.
• W3040094579 cites W2129564794 @default.
• W3040094579 cites W2133091666 @default.
• W3040094579 cites W2141260918 @default.
• W3040094579 cites W2154733522 @default.
• W3040094579 cites W2159080219 @default.
• W3040094579 cites W2160287478 @default.
• W3040094579 cites W2161642932 @default.
• W3040094579 cites W2162212747 @default.
• W3040094579 cites W2164636550 @default.
• W3040094579 cites W2165190832 @default.
• W3040094579 cites W2169554326 @default.
• W3040094579 cites W2324228145 @default.
• W3040094579 cites W2338167986 @default.
• W3040094579 cites W2465290809 @default.
• W3040094579 cites W2485816173 @default.
• W3040094579 cites W2553076121 @default.
• W3040094579 cites W2669395868 @default.
• W3040094579 cites W2770177629 @default.
• W3040094579 cites W2777047277 @default.
• W3040094579 cites W2794165852 @default.
• W3040094579 cites W2795429869 @default.
• W3040094579 cites W2803113114 @default.
• W3040094579 cites W2884403240 @default.
• W3040094579 cites W2903665248 @default.
• W3040094579 cites W2911881741 @default.
• W3040094579 cites W2925608410 @default.
• W3040094579 cites W2982285299 @default.
• W3040094579 cites W2982358197 @default.
• W3040094579 cites W2985987472 @default.
• W3040094579 cites W2996966849 @default.
• W3040094579 cites W2999013271 @default.
• W3040094579 hasPublicationYear "2020" @default.
• W3040094579 type Work @default.
• W3040094579 sameAs 3040094579 @default.
• W3040094579 citedByCount "0" @default.
• W3040094579 crossrefType "posted-content" @default.
• W3040094579 hasAuthorship W3040094579A5005467833 @default.
• W3040094579 hasAuthorship W3040094579A5032343817 @default.
• W3040094579 hasAuthorship W3040094579A5046597133 @default.
• W3040094579 hasAuthorship W3040094579A5048049588 @default.
• W3040094579 hasAuthorship W3040094579A5053396272 @default.
• W3040094579 hasAuthorship W3040094579A5056248574 @default.
• W3040094579 hasAuthorship W3040094579A5070538645 @default.
• W3040094579 hasAuthorship W3040094579A5074099829 @default.
• W3040094579 hasConcept C105795698 @default.
• W3040094579 hasConcept C111472728 @default.
• W3040094579 hasConcept C11671645 @default.
• W3040094579 hasConcept C119857082 @default.
• W3040094579 hasConcept C120567893 @default.
• W3040094579 hasConcept C121332964 @default.
• W3040094579 hasConcept C124101348 @default.
• W3040094579 hasConcept C126322002 @default.
• W3040094579 hasConcept C134018914 @default.
• W3040094579 hasConcept C138885662 @default.

• next