000095579 001__ 95579
000095579 005__ 20210902121742.0
000095579 0247_ $$2doi$$a10.1155/2020/3057032
000095579 0248_ $$2sideral$$a119785
000095579 037__ $$aART-2020-119785
000095579 041__ $$aeng
000095579 100__ $$aNavarro-Alamán, Javier
000095579 245__ $$aClose2U: An App for Monitoring Cancer Patients with Enriched Information from Interaction Patterns
000095579 260__ $$c2020
000095579 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095579 5203_ $$aThe management of cancer patients'' symptoms in doctor consultations is a cornerstone in clinical care, this process being fundamental for the follow-up of the evolution of these. This article presents an application that allows collecting periodically and systematically the data of cancer patients and their visualization by the medical team. In this article, we made the analysis, design, implementation, and final evaluation by analyzing the correlation of this data collection with interaction patterns to determine how the user information can be enriched with information from the interaction patterns. We have followed an agile methodology based on the iterative and incremental development of successive prototypes with increased fidelity, where the requirements and solutions have evolved over time according to the need and assessments made. The comprehensive analysis of the patient''s condition allowed us to perform a first analysis of the correlation of the states of patients concerning mood, sleeping quality, and pain with the interaction patterns. A future goal of this project is to optimize the process of data collection and the analysis of information. Another future goal is to reduce the time dedicated to reporting the evolution of symptoms in face-to-face consultations and to help professionals in analyzing the patient''s evolution even in the period that has not been attended in person.
000095579 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T25-17D$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-096986-B-C31$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2017-88327-R
000095579 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095579 590__ $$a2.682$$b2020
000095579 591__ $$aHEALTH CARE SCIENCES & SERVICES$$b53 / 108 = 0.491$$c2020$$dQ2$$eT2
000095579 592__ $$a0.509$$b2020
000095579 593__ $$aBiomedical Engineering$$c2020$$dQ2
000095579 593__ $$aSurgery$$c2020$$dQ2
000095579 593__ $$aHealth Informatics$$c2020$$dQ2
000095579 593__ $$aBiotechnology$$c2020$$dQ2
000095579 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095579 700__ $$0(orcid)0000-0002-4773-4904$$aLacuesta, Raquel$$uUniversidad de Zaragoza
000095579 700__ $$aGarcía-Magariño, Iván
000095579 700__ $$0(orcid)0000-0001-9895-0837$$aGallardo, Jesús$$uUniversidad de Zaragoza
000095579 700__ $$0(orcid)0000-0003-0785-4132$$aIbarz, Elena$$uUniversidad de Zaragoza
000095579 700__ $$aLloret, Jaime
000095579 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000095579 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000095579 773__ $$g2020 (2020), 3057032 [13 pp.]$$pJ. healthc. eng.$$tJournal of healthcare engineering$$x2040-2295
000095579 8564_ $$s2042239$$uhttps://zaguan.unizar.es/record/95579/files/texto_completo.pdf$$yVersión publicada
000095579 8564_ $$s32638$$uhttps://zaguan.unizar.es/record/95579/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095579 909CO $$ooai:zaguan.unizar.es:95579$$particulos$$pdriver
000095579 951__ $$a2021-09-02-09:43:00
000095579 980__ $$aARTICLE