Searching for disease-related malnutrition using big data tools

Álvarez-Hernández, 2012, Prevalence and costs of malnutrition in hospitalized patients; the PREDyCES Study, Nutr Hosp, 27, 1049 León-Sanz, 2015, Predyces group researchers PREDyCES study: the cost of hospital malnutrition in Spain, Nutrition, 31, 1096, 10.1016/j.nut.2015.03.009 Topol, 2019, High-performance medicine: the convergence of human and artificial intelligence, Nat Med, 25, 44, 10.1038/s41591-018-0300-7 Espinosa-Anke, 2016, Savana: a global information extraction and terminology expansion framework in the medical domain, Procesamiento del Lenguaje Natural, 57, 23 Ballesteros-Pomar, 2016, Clinical and financial implications of disease-related malnutrition in a Department of Internal Medicine: prospective cohort study, Rev Clin Esp, 216, 468, 10.1016/j.rce.2016.07.005 Barge-Caballero, 2019, Nutritional risk in patients with advanced heart failure we know how to detect it but can we correct it?, Rev Esp Cardiol (Engl Ed), 72, 601, 10.1016/j.recesp.2018.11.023 Khalatbari-Soltani, 2019, Sixteen years trends in reported undernutrition, Clin Nutr, 38, 271, 10.1016/j.clnu.2018.01.021 Ballesteros Pomar, 2016, Impacto de una adecuada codificación de la desnutrición relacionada con la enfermedad en los índices hospitalarios, Nutr Hosp, 33, 24, 10.20960/nh.24 Schuetz, 2019, Individualised nutritional support in medical inpatients at nutritional risk: a randomised clinical trial, Lancet, 393, 2312, 10.1016/S0140-6736(18)32776-4