Alba Campillejo, Ileana Gefaell-Larrondo, Vanesa Ramos-García, Débora Koatz, Anthea Santos-Álvarez, Jaime Barrio-Cortes, Sara Gómez-Rueda, Amaia Calderón-Larrañaga, Patricia Cifuentes, Consuelo Company-Sancho, Santiago Domínguez-Coello, Francisco Javier García-García, Sofía Garrido-Elustondo, Beatriz González de León, José Ramón-Vazquez, Candelaria Martín, Carmen Suárez-Fernández, Pedro Parra-Caballero, Esther F Vicente-Rabaneda, Patricia Quiroga-Colina, Ana Belén Ramírez-Puerta, Marta Ruíz-López, María-Eugenia Tello-Bernabé, Estrella Sanchez-Gamborino, Beatriz Ugalde-Abiega, Helena Vall-Roqué, Andrea Duarte-Díaz, Analía Abt-Sacks, Aránzazu Hernández-Yumar, Alezandra Torres-Castaño, Yolanda Álvarez-Pérez, Christiane Muth, Marjan van den Akker, Victor M Montori, Carola Orrego, Lilisbeth Perestelo-Pérez, Ana Isabel González-González
Implementation of a virtual community of practice to promote the empowerment of middle-aged people with multimorbidity: study protocol of a randomised controlled trial
BMJ open
handheld diagnosis analysis highly dependent physiological data clinical sector detection defect neuronalassisted activity raises challenge prevailing treatment benefits machine learning approaches congregated eeg data utilized design learning applications develop model classifies intricate eeg patterns active inactive segments arithmetic problemsolving eeg signal acquired frontal lobe contributes intelligence detection low intricate statistical parameters help understanding objective mean segmented samples standard deviation features extracted model building feature selection handled using correlation fisher score fp1 f8 priority ranking regions enhanced activity selected classifier models training net rstudio platform used classify data based active inactive liability radial basis function kernel support vector machine svm deployed substantiate proposed methodology vulnerable regions f1 f8 arithmetic activity visualized correlation fit performed regions using svm classifier sensitivity 925 obtained selected features wide range clinical problems diagnosed using model used braincomputer interface