Извлечение значимых диагностических критериев для рожистых воспалений из истории болезни

Bibliographic Details
Parent link:Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов VI Международной конференции, 14-19 октября 2019 г., Томск/ Национальный исследовательский Томский политехнический университет (ТПУ) ; ред. кол. О. Г. Берестнева [и др.]. [31-33].— , 2019
Main Author: Кащеева Е. В. Евгения Викторовна
Corporate Author: Национальный исследовательский Томский политехнический университет
Summary: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.
Language:Russian
Published: 2019
Series:Технологии больших данных
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/57434
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=630701
Description
Summary: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.