2026-04-13T14:17:58Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/130702025-07-17T09:09:29Zcom_2072_1033col_2072_452950

Rule-based assistance to brain tumour diagnosis using LR-FIR Nebot Castells, M. Àngela Castro Espinoza, Félix Agustín Vellido Alcacena, Alfredo Julià Sapé, Margarida Arús, Carles Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics Universitat Politècnica de Catalunya. SOCO - Soft Computing Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica Brain tumors Decision support systems Rule extraction Fuzzy Inductive Reasoning Brain tumours Magnetic Resonance Spectroscopy Medical decision support systems Cervell -- Tumors Sistemes d'ajuda a la decisió This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res- onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from computer-aided assistance, which has to be readily interpretable by clinicians. Interpretation can be achieved through rule extraction, which is here performed using the LR-FIR algorithm, a method based on fuzzy logic. The experimental results of the classification of three groups of tumours indicate in this study that just three spectral frequencies, out of the 195 from a range pre-selected by experts, are enough to represent, in a simple and intuitive manner, most of the knowledge required to discriminate these groups. Postprint (published version) 2009-01-31 Part of book or chapter of book Nebot, A. [et al.]. Rule-based assistance to brain tumour diagnosis using LR-FIR. A: "Investigating human cancer with computational intelligence techniques". Future Technology Press, 2009, p. 83-92. 978-0-9561516-0-5 https://hdl.handle.net/2117/13070 eng http://cataleg.upc.edu/record=b1348824~S1*cat Restricted access - publisher's policy 10 p. application/pdf Future Technology Press