title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»Ñ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of medical expert system module, medicin data analysis
Creators: name: ÐÐ¾Ð½ÑÐ¾Ð², ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ
ÑÐºÑÐ¿ÐµÑÑÐ½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð°
medical data analysis
machine learning
clustering
classification
expert system

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÑÐ»Ñ ÑÐºÑÐ¿ÐµÑÑÐ½Ð¾Ð¹ Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑÂ».
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3) ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð·Ð°ÐºÐ¾Ð½Ð¾Ð¼ÐµÑÐ½Ð¾ÑÑÐµÐ¹ Ð² Ð¼ÐµÐ´Ð¸ÑÐ¸Ð½ÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¸ÑÑÐ¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ð±ÑÐ»Ð¸ Ð²Ð·ÑÑÑ Ð´ÐµÐ¿ÐµÑÑÐ¾Ð½Ð¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð¾Ð². ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÑ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸Ð»Ð¾ÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÐ·ÑÐºÐ° Python 3.7 Ð¸ Ð¼Ð¾Ð´ÑÐ»ÑÐ¼Ð¸ Ð´Ð»Ñ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ð¹, Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð´Ð°Ð½Ð½ÑÑ, Ð° ÑÐ°ÐºÐ¶Ðµ Ð²ÐµÐ± Ð¼Ð¸ÐºÑÐ¾ÑÑÐµÐ¹Ð¼Ð²Ð¾ÑÐºÐ°.
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description: Theme of final qualification work is âDevelopment of medical expert system module, medical data analysisâ. This research is about analyzing medical datasets of different pathologies. Tasks of this work:
1) Develop module medical expert system, which can markup, prepare and visualize data. Additional task is web-server develop to give this image generation functions.
2) Check hypothesis about normal distribution in data features after clustering with similar diagnoses.
3) Research patterns in medical data.
Primary dataset is depersonized data of medical analysis. Python 3.7 and modules for computing, data analysis and data visualizing are used in the study. Also web-microframework is used here. As a result, data preparing and analysis module was developed; also hypothesis about normal distribution in features was confirmed.