Knowledge Engineering in Construction of Expert Systems on Hereditary Diseases

被引：0
作者：
Kobrinskii, Boris A. [1 ]
Demikova, Nataliya S. [2 ]
Blagosklonov, Nikolay A. [1 ]
机构：
[1] RAS, Fed Res Ctr Comp Sci & Control, Vavilova Str 44,Kor 2, Moscow 119333, Russia
[2] Russian Med Acad Continuous Profess Educ, Barrikadnaya Str 2-1, Moscow 125993, Russia
来源：
ARTIFICIAL INTELLIGENCE (RCAI 2018) | 2018年 / 934卷
关键词：
Knowledge engineering; Confidence factors; Linguistic analysis; Textological cards; Hereditary diseases; Orphan diseases; Holistic visual images;
D O I：
10.1007/978-3-030-00617-4_4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper considers medical knowledge extraction for the diagnosis of rare hereditary diseases. The specific feature of the proposed approach is the combination of expert estimates of the symptom presence probability with three complementary factors of confidence: time of manifestation, severity and frequency of symptom manifestation in different age ranges. Preliminary textological cards used by experts and cognitive scientists are formed based on the linguistic analysis of related literature.
引用
收藏
页码：35 / 45
页数：11
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