Извлечение значимых диагностических критериев для рожистых воспалений из истории болезни

Podrobná bibliografie
Parent link:Информационные технологии в науке, управлении, социальной сфере и медицине.— 2019.— [31-33]
Hlavní autor: Кащеева Е. В. Евгения Викторовна
Korporativní autor: Национальный исследовательский Томский политехнический университет
Shrnutí:Заглавие с титульного экрана
This article describes the process of extracting significant diagnostic criteria for erysipelas from the history of the disease. The format of documents generated by medical information systems is inconvenient for data analysis. This article highlights the main stages of translating information about patients' complaints into a convenient form for analysis. Search for the presence or absence of patient complaints is carried out by keywords. The created program is a universal tool for the allocation of certain data about patients from the medical history in a convenient form for analysis.
Jazyk:ruština
Vydáno: 2019
Edice:Технологии больших данных
Témata:
On-line přístup:http://earchive.tpu.ru/handle/11683/57434
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=630701
Popis
Shrnutí:Заглавие с титульного экрана
This article describes the process of extracting significant diagnostic criteria for erysipelas from the history of the disease. The format of documents generated by medical information systems is inconvenient for data analysis. This article highlights the main stages of translating information about patients' complaints into a convenient form for analysis. Search for the presence or absence of patient complaints is carried out by keywords. The created program is a universal tool for the allocation of certain data about patients from the medical history in a convenient form for analysis.