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Final Report : InsomniaO'clock - new technology to insomnia detection algorithm

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040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
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1001 ‎$0‎MAPA20260005911‎$a‎Rita Alvaro, Ana
24510‎$a‎Final Report : InsomniaO'clock - new technology to insomnia detection algorithm ‎$c‎Ana Rita Álvaro, Catarina Carvalhas-Almeida, Cláudia Cavadas
260  ‎$a‎Madrid‎$b‎Fundación Mapfre‎$c‎2025
300  ‎$a‎40 p.
500  ‎$a‎Final report on the research conducted with the support of the Ignacio H. de Larramendi Research Grant from Fundación Mapfre, 2023 call for proposals. Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal
520  ‎$a‎This document presents the final report of the InsomniaO'clock project, which focuses on the development of an innovative algorithm for the objective detection of insomnia using circadian biomarkers and machine learning techniques. The study analyzes alterations in hormones, body temperature, and the gene expression of the biological clock in patients with chronic insomnia. It describes the clinical, experimental, and computational methods used, as well as the results obtained in patient and control cohorts. The findings demonstrate the algorithm's ability to differentiate patients with insomnia and its subtypes, highlighting its diagnostic and clinical potential
650 4‎$0‎MAPA20080547714‎$a‎Insomnio
650 4‎$0‎MAPA20150009067‎$a‎Biomarcadores
650 4‎$0‎MAPA20170005476‎$a‎Machine learning
650 4‎$0‎MAPA20080539771‎$a‎Salud
650 4‎$0‎MAPA20080577940‎$a‎Ritmo circadiano
650 4‎$0‎MAPA20080664510‎$a‎Trabajos de investigación
7001 ‎$0‎MAPA20260006314‎$a‎Carvalhas-Almeida, Catarina
7001 ‎$0‎MAPA20260006321‎$a‎Cavadas, Cláudia
7102 ‎$0‎MAPA20150009487‎$a‎Fundación MAPFRE‎$b‎Área de Promoción de la Salud
7102 ‎$0‎MAPA20260006338‎$a‎University of Coimbra‎$b‎Center for Neuroscience and Cell Biology
856  ‎$q‎application/pdf‎$w‎1131408‎$y‎Acceso al documento / Access the document