Work

Applying Soft Computing to Clinical Decision Support

Year: 2016

Type: book-chapter

Abstract: This article aims to explain the construction process of the learing systems based on Artificial Neural Networks and Genetic Algorithms. These systems were implemented using R and Python programming languages, in order to compare results and achieve the best solution and it was used Diabetes and Parkinson datasets with the purpose of identifying the carriers of these diseases.

Source: Advances in bioinformatics and biomedical engineering book series

DOI: 10.4018/978-1-4666-9882-6.ch013

Authors: José Machado, Lucas Oliveira, Luís Barreiro, Serafim Pinto, Ana Coimbra

Institution: University of Minho

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2490142541

FWCI:

Cites: 5

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Related to: 10