Analysis of the Clinical Data in the Jupyter Environment

The paper shows the use of the Jupyter data analysis and machine learning environment in clinical studies. The use of tools and various libraries for the Python language allows us to identify statistically significant patterns in a large body of information quickly and with minimal costs. Data visua...

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Bibliographic Details
Main Authors: Yurievna, Agapova Olga, Markovich, Laufer Konstantin, Dmitrievich, Zuev Anton, Avtandilovich, Otarashvili Zurab
Format: Conference Proceeding
Language:English
Subjects:
array
clinical studies
data analysis
regularities
Online Access:Request full text
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Description
Summary:The paper shows the use of the Jupyter data analysis and machine learning environment in clinical studies. The use of tools and various libraries for the Python language allows us to identify statistically significant patterns in a large body of information quickly and with minimal costs. Data visualization tools allow making the results convenient for perception and analysis.
ISSN:2472-8586
DOI:10.1109/ICAICT.2017.8686840