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

Detalhes bibliográficos
Autor(a) principal: Torrente, María
Data de Publicação: 2022
Outros Autores: Sousa, Pedro A., Hernández, Roberto, Blanco, Mariola, Calvo, Virginia, Collazo, Ana, Guerreiro, Gracinda R., Núñez, Beatriz, Pimentao, Joao, Sánchez, Juan Cristóbal, Campos, Manuel, Costabello, Luca, Novacek, Vit, Menasalvas, Ernestina, Vidal, María Esther, Provencio, Mariano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145645
Resumo: Centro de Matemática e Aplicações, UID (MAT/00297/2020), Portuguese Foundation of Science and Technology. Publisher Copyright: © 2022 by the authors.
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spelling An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer PatientsResults from the Clarify Studyartificial intelligencecancer patientsdata integrationdecision support systempatient stratificationprecision oncologyOncologyCancer ResearchSDG 3 - Good Health and Well-beingCentro de Matemática e Aplicações, UID (MAT/00297/2020), Portuguese Foundation of Science and Technology. Publisher Copyright: © 2022 by the authors.Background: 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.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresDM - Departamento de MatemáticaRUNTorrente, MaríaSousa, Pedro A.Hernández, RobertoBlanco, MariolaCalvo, VirginiaCollazo, AnaGuerreiro, Gracinda R.Núñez, BeatrizPimentao, JoaoSánchez, Juan CristóbalCampos, ManuelCostabello, LucaNovacek, VitMenasalvas, ErnestinaVidal, María EstherProvencio, Mariano2022-11-18T22:13:23Z2022-082022-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/145645eng2072-6694PURE: 46685043https://doi.org/10.3390/cancers14164041info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:26:14Zoai:run.unl.pt:10362/145645Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:11.806801Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
Results from the Clarify Study
title An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
spellingShingle An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
Torrente, María
artificial intelligence
cancer patients
data integration
decision support system
patient stratification
precision oncology
Oncology
Cancer Research
SDG 3 - Good Health and Well-being
title_short An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
title_full An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
title_fullStr An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
title_full_unstemmed An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
title_sort An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
author Torrente, María
author_facet Torrente, María
Sousa, Pedro A.
Hernández, Roberto
Blanco, Mariola
Calvo, Virginia
Collazo, Ana
Guerreiro, Gracinda R.
Núñez, Beatriz
Pimentao, Joao
Sánchez, Juan Cristóbal
Campos, Manuel
Costabello, Luca
Novacek, Vit
Menasalvas, Ernestina
Vidal, María Esther
Provencio, Mariano
author_role author
author2 Sousa, Pedro A.
Hernández, Roberto
Blanco, Mariola
Calvo, Virginia
Collazo, Ana
Guerreiro, Gracinda R.
Núñez, Beatriz
Pimentao, Joao
Sánchez, Juan Cristóbal
Campos, Manuel
Costabello, Luca
Novacek, Vit
Menasalvas, Ernestina
Vidal, María Esther
Provencio, Mariano
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DEE - Departamento de Engenharia Electrotécnica e de Computadores
DM - Departamento de Matemática
RUN
dc.contributor.author.fl_str_mv Torrente, María
Sousa, Pedro A.
Hernández, Roberto
Blanco, Mariola
Calvo, Virginia
Collazo, Ana
Guerreiro, Gracinda R.
Núñez, Beatriz
Pimentao, Joao
Sánchez, Juan Cristóbal
Campos, Manuel
Costabello, Luca
Novacek, Vit
Menasalvas, Ernestina
Vidal, María Esther
Provencio, Mariano
dc.subject.por.fl_str_mv artificial intelligence
cancer patients
data integration
decision support system
patient stratification
precision oncology
Oncology
Cancer Research
SDG 3 - Good Health and Well-being
topic artificial intelligence
cancer patients
data integration
decision support system
patient stratification
precision oncology
Oncology
Cancer Research
SDG 3 - Good Health and Well-being
description Centro de Matemática e Aplicações, UID (MAT/00297/2020), Portuguese Foundation of Science and Technology. Publisher Copyright: © 2022 by the authors.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-18T22:13:23Z
2022-08
2022-08-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/145645
url http://hdl.handle.net/10362/145645
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-6694
PURE: 46685043
https://doi.org/10.3390/cancers14164041
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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