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An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients

2022-08-22Artigo científico Acesso aberto
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dc.contributor.authorTorrente, María
dc.contributor.authorSousa, Pedro A.
dc.contributor.authorHernández, Roberto
dc.contributor.authorBlanco, Mariola
dc.contributor.authorCalvo, Virginia
dc.contributor.authorCollazo, Ana
dc.contributor.authorGuerreiro, Gracinda R.
dc.contributor.authorNúñez, Beatriz
dc.contributor.authorPimentão, João
dc.contributor.authorSánchez, Juan Cristóbal
dc.contributor.authorCampos, Manuel
dc.contributor.authorCostabello, Luca
dc.contributor.authorNovacek, Vit
dc.contributor.authorMenasalvas, Ernestina
dc.contributor.authorVidal, María Esther
dc.contributor.authorProvencio, Mariano
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionCMA - Centro de Matemática e Aplicações
dc.contributor.institutionDM - Departamento de Matemática
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2022-11-18T22:13:23Z
dc.date.available2022-11-18T22:13:23Z
dc.date.issued2022-08-22
dc.descriptionCentro de Matemática e Aplicações, UID (MAT/00297/2020), Portuguese Foundation of Science and Technology. Publisher Copyright: © 2022 by the authors.
dc.description.abstractBackground: Artificial intelligence (AI) has contributed substantially in recent years to the resolution of different biomedical problems, including cancer. However, AI tools with significant and widespread impact in oncology remain scarce. The goal of this study is to present an AI-based solution tool for cancer patients data analysis that assists clinicians in identifying the clinical factors associated with poor prognosis, relapse and survival, and to develop a prognostic model that stratifies patients by risk. Materials and Methods: We used clinical data from 5275 patients diagnosed with non-small cell lung cancer, breast cancer, and non-Hodgkin lymphoma at Hospital Universitario Puerta de Hierro-Majadahonda. Accessible clinical parameters measured with a wearable device and quality of life questionnaires data were also collected. Results: Using an AI-tool, data from 5275 cancer patients were analyzed, integrating clinical data, questionnaires data, and data collected from wearable devices. Descriptive analyses were performed in order to explore the patients’ characteristics, survival probabilities were calculated, and a prognostic model identified low and high-risk profile patients. Conclusion: Overall, the reconstruction of the population’s risk profile for the cancer-specific predictive model was achieved and proved useful in clinical practice using artificial intelligence. It has potential application in clinical settings to improve risk stratification, early detection, and surveillance management of cancer patients.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent10
dc.format.extent1954147
dc.identifier.doi10.3390/cancers14164041
dc.identifier.issn2072-6694
dc.identifier.otherPURE: 46685043
dc.identifier.otherPURE UUID: 58bbf513-e859-4154-b9c5-35b55847fac5
dc.identifier.otherScopus: 85137601681
dc.identifier.otherWOS: 000846265900001
dc.identifier.otherPubMed: 36011034
dc.identifier.otherPubMedCentral: PMC9406336
dc.identifier.urihttp://hdl.handle.net/10362/145645
dc.identifier.urlhttps://www.scopus.com/pages/publications/85137601681
dc.language.isoeng
dc.peerreviewedyes
dc.relationFunding Information: info:eu-repo/grantAgreement/EC/H2020/875160/EU
dc.subjectartificial intelligence
dc.subjectcancer patients
dc.subjectdata integration
dc.subjectdecision support system
dc.subjectpatient stratification
dc.subjectprecision oncology
dc.subjectOncology
dc.subjectCancer Research
dc.subjectSDG 3 - Good Health and Well-being
dc.titleAn Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patientsen
dc.title.subtitleResults from the Clarify Studyen
dc.typejournal article
degois.publication.issue16
degois.publication.titleCancers
degois.publication.volume14
dspace.entity.typePublication
rcaap.rightsopenAccess

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