Linguistic analysis of electronic health records for extraction of stroke risk factors

Authors

Kobrinsky B. Smirnoff I. Donitova V. Blagosklonov N. Kireyev D.

Annotation

Identification and assessment of risk factors associated with diseases are necessary to increase the effectiveness of preventive measures. This problem is particularly important for such a socially significant disease as stroke. The use of automated methods for analyzing large arrays of electronic health records can increase the efficiency of extracting information about risk factors. This work presents one of these methods, that is based on using the constructed rules and a linguistic parser.

External links

DOI: 10.14357/20790279200309

Download PDF at the Institute for Systems Analysis of Russian Academy of Sciences webiste (in Russian): www.isa.ru/proceedings/images/documents/2020-70-3/75-85.pdf

eLIBRARY: https://www.elibrary.ru/item.asp?id=44032679

Reference link

Blagosklonov N. A., Donitova V. V., Kireev D. A., Kobrinskii B. A., Smirnov I. V. Linguistic analysis of electronic health records for extraction of stroke risk factors // Proceeding  of the Institute for Systems Analysis of the Russian Academy of Science. 2020. Vol. 70. № 3. pp. 75-85.