PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19

Researchers often face the need to collect, explore, correlate, analyze, and classify different data sources to discover unknown relationships while performing basic steps of pattern recognition and regression analysis with classification. PEAK is a Python tool designed to make easier all of these t...

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Bibliographic Details
Published inBioengineering and Biomedical Signal and Image Processing pp. 361 - 370
Main Authors Sgroi, Giuseppe, Parasiliti Palumbo, Giuseppe Alessandro, Di Salvatore, Valentina, Russo, Giulia, Pappalardo, Francesco
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Data analysis
Python3
SARS-CoV-2
UISS-SARS-CoV-2
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Summary:Researchers often face the need to collect, explore, correlate, analyze, and classify different data sources to discover unknown relationships while performing basic steps of pattern recognition and regression analysis with classification. PEAK is a Python tool designed to make easier all of these the basic steps of pattern recognition, allowing less experienced users to reduce the time required for analysing data and promoting the discovery of unknown relationships between different data. As a working example, we applied PEAK to a specific case study dealing with a well-defined dataset representing a cohort of COVID-19 10000 digital twins with different immunological characteristics. PEAK is a freely available open-source software. It runs on all platforms that support Python3. The user manual and source code are accessible following this link: https://github.com/Pex2892/PEAK.
ISBN:3030881628
9783030881627
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-88163-4_31