MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.

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Bibliographic Details
Title: MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers.
Authors: Lilli L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy., Santoro M; Istituto per le Applicazioni del Calcolo 'Mauro Picone', Italian National Research Council, Rome, Italy., Masiello V; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Patarnello S; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. stefano.patarnello@gemelligenerator.it., Tagliaferri L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy., Marazzi F; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Capocchiano ND; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Apr 10; Vol. 25 (1), pp. 160. Date of Electronic Publication: 2025 Apr 10.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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