{"id":12582,"date":"2026-09-28T14:44:18","date_gmt":"2026-09-28T12:44:18","guid":{"rendered":"https:\/\/computaex.es\/publicaciones\/predicting-30-day-readmission-after-heart-failure-hospitalization-using-interpretable-machine-learning-evidence-from-a-20-year-population-based-rural-registry\/"},"modified":"2026-09-28T14:44:18","modified_gmt":"2026-09-28T12:44:18","slug":"predicting-30-day-readmission-after-heart-failure-hospitalization-using-interpretable-machine-learning-evidence-from-a-20-year-population-based-rural-registry","status":"publish","type":"page","link":"https:\/\/computaex.es\/en\/publicaciones\/predicting-30-day-readmission-after-heart-failure-hospitalization-using-interpretable-machine-learning-evidence-from-a-20-year-population-based-rural-registry\/","title":{"rendered":"Predicting 30-day readmission after heart failure hospitalization using interpretable machine learning: evidence from a 20-year population-based rural registry"},"content":{"rendered":"<p><strong>Autores:<\/strong> Jorge Maese-Calvo, Alicia Paredes-Calder\u00f3n, Mercedes Nunez-Bayon, Jos\u00e9 Carlos Ar\u00e9valo\u2010Lorido, Nadia Mayoral-Test\u00f3n, Carlos Nevado-Nogales, Mar\u00eda Zaro-Bastanzuri, Reyes Gonz\u00e1lez-Fern\u00e1ndez, Nuria Hern\u00e1ndez, Javier Corral-Garc\u00eda, Juan\u2010Antonio Rico\u2010Gallego, Daniel J. Fernandez-Berges<\/p>\n<p><strong>Publicaci\u00f3n \/ Evento:<\/strong> Medical &amp; Biological Engineering &amp; Computing<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1007\/s11517-026-03657-2\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1007\/s11517-026-03657-2<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Autores: Jorge Maese-Calvo, Alicia Paredes-Calder\u00f3n, Mercedes Nunez-Bayon, Jos\u00e9 Carlos Ar\u00e9valo\u2010Lorido, Nadia Mayoral-Test\u00f3n, Carlos Nevado-Nogales, Mar\u00eda Zaro-Bastanzuri, Reyes Gonz\u00e1lez-Fern\u00e1ndez, Nuria Hern\u00e1ndez, Javier Corral-Garc\u00eda, Juan\u2010Antonio Rico\u2010Gallego, Daniel J. Fernandez-Berges Publicaci\u00f3n \/ Evento: &#8230;<\/p>","protected":false},"author":1,"featured_media":0,"parent":1583,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[123,91],"tags":[],"class_list":["post-12582","page","type-page","status-publish","hentry","category-2026-publicaciones","category-publicaciones"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predicting 30-day readmission after heart failure hospitalization using interpretable machine learning: evidence from a 20-year population-based rural registry - Fundaci\u00f3n COMPUTAEX<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/computaex.es\/en\/publicaciones\/predicting-30-day-readmission-after-heart-failure-hospitalization-using-interpretable-machine-learning-evidence-from-a-20-year-population-based-rural-registry\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predicting 30-day readmission after heart failure hospitalization using interpretable machine learning: evidence from a 20-year population-based rural registry - Fundaci\u00f3n COMPUTAEX\" \/>\n<meta property=\"og:description\" content=\"Autores: Jorge Maese-Calvo, Alicia Paredes-Calder\u00f3n, Mercedes Nunez-Bayon, Jos\u00e9 Carlos Ar\u00e9valo\u2010Lorido, Nadia Mayoral-Test\u00f3n, Carlos Nevado-Nogales, Mar\u00eda Zaro-Bastanzuri, Reyes Gonz\u00e1lez-Fern\u00e1ndez, Nuria Hern\u00e1ndez, Javier Corral-Garc\u00eda, Juan\u2010Antonio Rico\u2010Gallego, Daniel J. 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