Hypertension Detection Using a Case-Based Reasoning Approach

Autor:	Kuang-Hung Hsu, Nan-Hsing Chiu, Chorng-Jer Hwang, Po-Chi Lee, Chi-I Hsu, Yi-Chou Juang, Chaochang Chiu, Thu-Hua Liu, Wen-Ko Chiu
Rok vydání:	2009
Předmět:	Decision support system Important research Matching (statistics) Computer science business.industry Case-based reasoning Construct (python library) Artificial intelligence Machine learning computer.software_genre business computer
Zdroj:	Studies in Computational Intelligence ISBN: 9783642009082
DOI:	10.1007/978-3-642-00909-9_25
Popis:	The exploration of three-dimensional (3D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques becomes an important research issue for medical decision support. This research attempts to construct a classification approach based on the hybrid of the case-based reasoning (CBR) and genetic algorithms (GAs) approach for hypertension detection using anthropometric body surface scanning data. The experiment showed that our proposed approach is able to improve the effectiveness of case matching of hypertension disease.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e93c723b1a0d5a8c96b0b4dde0331c57 https://doi.org/10.1007/978-3-642-00909-9_25 Zobrazit plný text záznamu