{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:37:10Z","timestamp":1740202630598,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"abstract":"<jats:p>Ovarian cancer (OC) can usually clinically be diagnosed only at the late stages of the disease. We show that the combination of the biomarker antigen CA125 with proteomic mass spectra data and applying newly developed machine learning algorithms, may establish a diagnosis of OC very early.<\/jats:p>","DOI":"10.3233\/978-1-60750-044-5-772","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:29:25Z","timestamp":1740158965000},"source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning Analysis of Proteomics Data for Early Diagnosis"],"prefix":"10.3233","author":[{"family":"Devetyarov Dmitry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Medical Informatics in a United and Healthy Europe"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:22:06Z","timestamp":1740162126000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=150&spage=772"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-044-5-772","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2009]]}}}