{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T12:01:01Z","timestamp":1747224061951,"version":"3.40.5"},"reference-count":28,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,1]]},"abstract":"<p>Peptic ulcers are not the most common complication in gastrointestinal mucosa, but these defects stand out as being the complication with the highest mortality rate. Several scoring systems based on clinical and biochemical parameters, such as the Boey and PULP scoring system have been developed to predict the probability of mortality. In this study, a data mining process is performed in the medical data available, in order to evaluate how the scoring systems perform when trying to predict mortality and patients' state complication. Furthermore, the presented paper studies the two scoring systems presented to define which one outperforms the other. On one hand PULP scoring allows a better mortality prediction achieving, above a 90% accuracy. One the other hand, regarding complications, the Boey system achieves better results leading to a better prediction when it comes to predicting patients' state complication.<\/p>","DOI":"10.4018\/ijrqeh.2020010104","type":"journal-article","created":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T12:44:31Z","timestamp":1571834671000},"page":"37-49","source":"Crossref","is-referenced-by-count":1,"title":["Death and Morbidity Prediction Using Data Mining in Perforated Peptic Ulcers"],"prefix":"10.4018","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3957-2121","authenticated-orcid":true,"given":"Hugo","family":"Peixoto","sequence":"first","affiliation":[{"name":"Algoritmi Research Center, University of Minho, Braga, Portugal"}]},{"given":"Lara","family":"Silva","sequence":"additional","affiliation":[{"name":"University of Minho, Braga, Portugal"}]},{"given":"Soraia","family":"Pereira","sequence":"additional","affiliation":[{"name":"University of Minho, Braga, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1437-5439","authenticated-orcid":true,"given":"Tiago","family":"Jesus","sequence":"additional","affiliation":[{"name":"University of Minho, Braga, Portugal"}]},{"given":"Vitor Neves","family":"Lopes","sequence":"additional","affiliation":[{"name":"Centro Hospitalar do T\u00e2mega e Sousa, Guilhufe, Portugal"}]},{"given":"Ant\u00f3nio Carlos","family":"Abelha","sequence":"additional","affiliation":[{"name":"Algoritmi Research Center, University of Minho, Braga, Portugal"}]}],"member":"2432","reference":[{"key":"IJRQEH.2020010104-0","doi-asserted-by":"publisher","DOI":"10.7869\/tg.300"},{"key":"IJRQEH.2020010104-1","first-page":"1027","article-title":"k-means++: The advantages of careful seeding.","author":"D.Arthur","year":"2007","journal-title":"Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms"},{"journal-title":"KDD, SEMMA and CRISP-DM: a parallel overview","year":"2008","author":"A. 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