{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T12:33:53Z","timestamp":1767962033029,"version":"3.49.0"},"reference-count":34,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>Medical diagnosis can be performed in an automatic way with the use of computer-based systems or algorithms. Such systems are usually called diagnostic decision support systems (DDSSs) or medical diagnosis systems (MDSs). An evaluation of the performance of a DDSS called ML-DDSS has been performed in this paper. The methodology is based on clinical case resolution performed by physicians which is then used to evaluate the behavior of ML-DDSS. This methodology allows the calculation of values for several well-known metrics such as precision, recall, accuracy, specificity, and Matthews correlation coefficient (MCC). Analysis of the behavior of ML-DDSS reveals interesting results about the behavior of the system and of the physicians who took part in the evaluation process. Global results show how the ML-DDSS system would have significant utility if used in medical practice. The MCC metric reveals an improvement of about 30% in comparison with the experts, and with respect to sensitivity the system returns better results than the experts.<\/jats:p>","DOI":"10.1155\/2012\/367345","type":"journal-article","created":{"date-parts":[[2012,12,27]],"date-time":"2012-12-27T03:41:23Z","timestamp":1356579683000},"page":"1-9","source":"Crossref","is-referenced-by-count":15,"title":["Analysis of a Multilevel Diagnosis Decision Support System and Its Implications: A Case Study"],"prefix":"10.1155","volume":"2012","author":[{"given":"Alejandro","family":"Rodr\u00edguez-Gonz\u00e1lez","sequence":"first","affiliation":[{"name":"Centre for Plant Biotechnology and Genomics UPM-INIA, Polytechnic University of Madrid, Parque Cient\u00edfico y Tecnol\u00f3gico de la U.P.M. 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