{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:22:44Z","timestamp":1740201764949,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>A hybrid model that consists of an Artificial Neural Network and Genetic Algorithm is used in order to select the most significant osteoporosis risk factors. The results indicated that just 8 to 10 parameters, out of a total 34, are essential in order of high performance to be achieved.<\/jats:p>","DOI":"10.3233\/978-1-61499-276-9-186","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:25:19Z","timestamp":1740126319000},"source":"Crossref","is-referenced-by-count":0,"title":["Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms"],"prefix":"10.3233","author":[{"family":"Anastassopoulos George","sequence":"additional","affiliation":[]},{"family":"Adamopoulos Adam","sequence":"additional","affiliation":[]},{"family":"Galiatsatos Dimitrios","sequence":"additional","affiliation":[]},{"family":"Drosos Georgios","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Informatics, Management and Technology in Healthcare"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:55:47Z","timestamp":1740128147000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=190&spage=186"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-276-9-186","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2013]]}}}