An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , |
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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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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1799138113605337088 |