{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:11:55Z","timestamp":1740161515586,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>Chemical risk appears with chemical substances that are dangerous for human or animal health, or for environment, such as with Bisphenol A and phtalates. Chemical risk causes several severe health disorders and is particularly dangerous for human health. Specific agencies are involved in the verification of the suitability of products and goods to be marketed. For this, a large amount of scientific and institutional literature is manually analyzed to study the current knowledge on the associated chemical risk. We propose to use machine learning and dedicated classification for the automatic detection of chemical risk statements. We test several algorithms and features and obtain between 0.60 and 0.95 F-measure.<\/jats:p>","DOI":"10.3233\/978-1-61499-432-9-725","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:07:49Z","timestamp":1740157669000},"source":"Crossref","is-referenced-by-count":0,"title":["Machine learning-based detection of chemical risk"],"prefix":"10.3233","author":[{"family":"Grabar Natalia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Wandji Tchami Ornella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Maxim Laura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","e-Health &amp;ndash; For Continuity of Care"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:29:44Z","timestamp":1740158984000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0926-9630&volume=205&spage=725"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-432-9-725","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2014]]}}}