Mineração de Dados Aplicada à Investigação de Tumores Cerebrais: Explorando Conhecimentos e Desenvolvendo Soluções Engenharia
Tumores Cerebrais são responsáveis por um percentual significativo dos tipos de câncer em adultos e crianças. Pacientes com tumor cerebral sofrem diversos sintomas como convulsão, dor de cabeça, náusea, estresse entre outros. Muitos desses sintomas são oriundos dos severos tipos de tratamentos que o paciente é submetido tais como cirurgia, quimioterapia e radioterapia. Na era contemporânea, o paciente, familiares, amigos e profissionais de saúde buscam na internet, particularmente, nas redes sociais, informações sobre a sua doenca. As redes sociais são comunidades virtuais onde seus membros e pares trocam informações entre si e onde grupos virtuais são formados para a discussão de temas específicos. Entre as redes sociais existentes, o Facebook é o mais famoso, com um bilhão de usuários conectados/dia em 2015. Entretanto, apesar da abundância de informações contidas nessa mídia, há uma carência de trabalhos científicos que avaliem o volume e o tipo de informação sobre tumores cerebrais contidas nas redes sociais. Assim, o objetivo deste trabalho é realizar uma análise quantitativa das informações sobre tumores cerebrais postadas em grupos de discussão do Facebook destinados a esse tema. O propósito é identificar, a partir da frequência de termos, quais são os assuntos abordados nas postagens, além de captar a percepção dos usuários sobre a utilidade das informações publicadas. O trabalho também apresenta um panorama geral dos grupos de discussão existentes e do volume de mensagens trocadas entre seus membros. A fim de atingir os objetivos estabelecidos, uma metodologia de coleta e análise das informações sobre tumor cerebral contidas nas postagens de grupos da rede social Facebook foi criada. O framework Hadoop/Mapreduce e a ferramenta Graph API foram utilizados como tecnologia para coletar, selecionar, armazenar e analisar (tipo e volume) o conteúdo das postagens. Um questionário eletrônico foi usado para medir a percepção do usuário sobre a utilidade das informações postadas. A análise de conteúdo e volume foi realizada pela frequência de termos e os resultados obtidos foram apresentados em forma de gráficos. Os termos mais frequentes, tais como, steroid compound, chemotherapy, doctor e seizure mostram que os tema mais abordados nas postagens são os tratamentos convencionais para o câncer, os profissionais envolvidos e os sintomas dos pacientes. O questionário de avaliação de percepção mostrou que 95% dos usuários afirmam ter encontrado informações úteis sobre tumor cerebral nas postagens da rede social. Os resultados permitem concluir que existe uma quantidade significativa de dados importantes sobre tumor cerebral no Facebook e que o seu uso como uma potencial fonte auxiliar de informação deve ser considerado.
Palavras-chave: Tumor Cerebral, Mídias Sociais, Facebook, Análise de Dados, Sistemas de Informação em Saúde.
AMERICAN BRAIN TUMOR ASSOCIATION. Treatment & Care: Understanding Steroid Treatment. Disponível em: http://www.abta.org/brain-tumortreatment/treatments/steroids.html. Acesso em: 16 de junho de 2017.
ALI, Anam. Medical students’ use of Facebook for educational purposes. Perspectives on medical education, v. 5, n. 3, p. 163-169, 2016.
AL MAMUN, Mohammad; IBRAHIM, Hamza M.; TURIN, Tanvir Chowdhury. Peer Reviewed: Social Media in Communicating Health Information: An Analysis of Facebook Groups Related to Hypertension. Preventing chronic disease, v. 12, 2015.
ARNABOLDI, Valerio et al. Ego network structure in online social networks and its impact on information diffusion. Computer Communications, v. 76, p. 26-41, 2016.
ASCO. Asco Anuual Meeting 2017. Disponível em: http://am.asco.org/about. Acesso em: 1 janeiro 2017, 15:15.
BARION, Eliana Cristina Nogueira; LAGO, Decio. Mineração de Textos. Revista de Ciência Exatas e Tecnologia. v.3, n.3, p.123-140, 2015.
BARRETT, Malcolm et al. Complementary and Alternative Medicine Approaches for Pain in Underserved Chinese-American Cancer Patients: Prevalence and Correlates. Journal of pain and symptom management, v. 51, n. 4, p. e1-e3, 2016.
BAGHERI, Haleh et al. Cyberpharmacovigilance: What is the usefulness of the social networks in pharmacovigilance?. Therapie, v. 71, n. 2, p. 235-239, 2016.
BIENKOWSKI, Michal; PREUSSER, Matthias. Prognostic role of tumour-infiltrating inflammatory cells in brain tumours: literature review. Current opinion in neurology, v. 28, n. 6, p. 647-658, 2015.
BLEEKER, Fonnet E.; MOLENAAR, Remco J.; LEENSTRA, Sieger. Recent advances in the molecular understanding of glioblastoma. Journal of neurooncology, v. 108, n. 1, p. 11-27, 2012.
BOELE, Florien W. et al. Neuro-oncology family caregivers’ view on keeping track of care issues using eHealth systems: it’sa question of time. Journal of NeuroOncology, p. 1-11, 2017.
BHUJBAL, Swapnil V.; DE VOS, Paul; NICLOU, Simone P. Drug and cell encapsulation: alternative delivery options for the treatment of malignant brain tumors. Advanced drug delivery reviews, v. 67, p. 142-153, 2014.
CAPRIOTTI, Paul; CARRETÓN, Carmen; CASTILLO, Antonio. Testing the level of interactivity of institutional websites: From museums 1.0 to museums 2.0. International Journal of Information Management, v. 36, n. 1, p. 97-104, 2016.
CHEN, Qi; YAO, Jinyu; XIAO, Zhen. Libra: Lightweight data skew mitigation in mapreduce. IEEE Transactions on parallel and distributed systems, v. 26, n. 9, p. 2520-2533, 2015.
COLAGIURI, Ben et al. Does assessing patients' expectancies about chemotherapy side effects influence their occurrence? Journal of pain and symptom management, v. 46, n. 2, p. 275-281, 2013.
COOLBRANDT, Annemarie et al. Characteristics and effectiveness of complex nursing interventions aimed at reducing symptom burden in adult patients treated with chemotherapy: a systematic review of randomized controlled trials. International journal of nursing studies, v. 51, n. 3, p. 495-510, 2014.
ZAGO, Gabriela Da Silva; SILVA, Ana Lúcia Migowski Da. Sites de rede social e economia da atenção: circulação e consumo de informações no Facebook e no Twitter. Vozes e Diálogo, v. 13, n. 01, 2014.
DAVIS, Matthew A.; ANTHONY, Denise L.; PAULS, Scott D. Seeking and receiving social support on Facebook for surgery. Social science & medicine, v. 131, p. 4047, 2015.
DE HEER, Geraldine et al. Advance Directives and Powers of Attorney in Intensive Care Patients. Deutsches Ärzteblatt International, v. 114, n. 21, p. 363, 2017.
DEL BURGO, Laura Saenz et al. Nanotherapeutic approaches for brain cancer management. Nanomedicine: Nanotechnology, Biology and Medicine, v. 10, n. 5, p. e905-e919, 2014.
E LA TORRE-DÍEZ, Isabel; DÍAZ-PERNAS, Francisco Javier; ANTÓN-RODRÍGUEZ, Míriam. A content analysis of chronic diseases social groups on Facebook and Twitter. Telemedicine and e-Health, v. 18, n. 6, p. 404-408, 2012.
DE OLIVEIRA, Mauro José; HUERTAS, Melby Karina Zuniga; LIN, Zhibin. Factors driving young users' engagement with Facebook: Evidence from Brazil. Computers in Human Behavior, v. 54, p. 54-61, 2016.
Descritores em Ciências da Saúde: DeCS. *. ed. rev. e ampl. São Paulo: BIREME / OPAS / OMS, 2017. Disponível em: http://decs.bvsalud.org. Acesso em 1 de jan. 2017.
DITTRICH, Jens; RICHTER, Stefan; SCHUH, Stefan. Efficient or Hadoop: why not both?. Datenbank-Spektrum, v. 13, n. 1, p. 17-22, 2013.
DONG, Bo et al. Performance models and dynamic characteristics analysis for HDFS write and read operations: A systematic view. Journal of Systems and Software, v. 93, p. 132-151, 2014.
DUBBINK, Hendrikus J. et al. Molecular classification of anaplastic oligodendroglioma using next-generation sequencing: a report of the prospective randomized EORTC Brain Tumor Group 26951 phase III trial. Neuro-oncology, v. 18, n. 3, p. 388-400, 2015.
ESHLEMAN, Ryan; SINGH, Rahul. Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams. BMC bioinformatics, v. 17, n. 13, p. 335, 2016.
ESSA, Youssef M.; ATTIYA, Gamal; EL-SAYED, Ayman. New Framework For Improving Big Data Analysis Using Mobile Agent. v.5, n.3, p.25-32, 2014.
FARINHAS, Giseli Vieceli; WENDLING, Maria Isabel; DELLAZZANA-ZANON, Letícia Lovato. Impacto psicológico do diagnóstico de câncer na família: um estudo de caso a partir da percepção do cuidador. Pensando famílias, v. 17, n. 2, p. 111-129, 2013.
FORST, Deborah A. et al. Low-grade gliomas. The oncologist, v. 19, n. 4, p. 403413, 2014.
FRIEDMANN-MORVINSKI, D. et al. Identification of therapeutic targets for glioblastoma by network analysis. Oncogene, v. 35, n. 5, p. 608, 2016.
FRIEDMAN, Charles P.; WONG, Adam K.; BLUMENTHAL, David. Achieving a nationwide learning health system. Science translational medicine, v. 2, n. 57, p. 57cm29-57cm29, 2010.
GHANI, Khurshid R. et al. Harnessing big data for health care and research: are urologists ready? European Urology, Volume 66, Issue 6, p. 975-977. 2014.
GESUALDO, Francesco et al. Can Twitter be a source of information on allergy? Correlation of pollen counts with tweets reporting symptoms of allergic rhinoconjunctivitis and names of antihistamine drugs. PloS one, v. 10, n. 7, p. e0133706, 2015.
GOLDWIRT, Lauriane et al. Preclinical impact of bevacizumab on brain and tumor distribution of irinotecan and temozolomide. Journal of neuro-oncology, v. 122, n. 2, p. 273-281, 2015.
GONZÁLEZ-BELTRÁN, Alejandra; TAGGER, Ben; FINKELSTEIN, Anthony. Federated ontology-based queries over cancer data. BMC bioinformatics, v. 13, n. 1, p. S9, 2012.
GREENWOOD, S.; PERRIN, A.; DUGGAN, M. Social media update 2016: Facebook usage and engagement is on the rise, while adoption of other platforms holds steady. Pew Research Center, 2016.
HAN, Liangxiu; ONG, Hwee Yong. Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Cluster Computing, v. 18, n. 1, p. 403-418, 2015.
HARTMAN, Sheri J. et al. Impact of increasing physical activity on cognitive functioning in breast cancer survivors: Rationale and study design of Memory & Motion. Contemporary clinical trials, v. 45, p. 371-376, 2015.
HOERGER, Michael et al. Values and options in cancer care (VOICE): study design and rationale for a patient-centered communication and decision-making intervention for physicians, patients with advanced cancer, and their caregivers. BMC cancer, v. 13, n. 1, p. 188, 2013.
HOLTZ, Bree; SMOCK, Andrew; REYES-GASTELUM, David. Connected motherhood: Social support for moms and moms-to-be on Facebook. Telemedicine and e-Health, v. 21, n. 5, p. 415-421, 2015.
HUA, Xiayu et al. Enhancing throughput of the Hadoop Distributed File System for interaction-intensive tasks. Journal of Parallel and Distributed Computing, v. 74, n. 8, p. 2770-2779, 2014.
JIANG, Guan et al. A novel approach to overcome temozolomide resistance in glioma and melanoma: Inactivation of MGMT by gene therapy. Biochemical and biophysical research communications, v. 406, n. 3, p. 311-314, 2011.
JIANG, Dawei et al. epiC: an extensible and scalable system for processing Big Data. The VLDB Journal, v. 25, n. 1, p. 3-26, 2016.
JOHNSON, Thomas J.; KAYE, Barbara K. Reasons to believe: Influence of credibility on motivations for using social networks. Computers in human behavior, v. 50, p. 544-555, 2015.
JORDÁN-CONDE, Zayira; MENNECKE, Brian; TOWNSEND, Anthony. Late adolescent identity definition and intimate disclosure on Facebook. Computers in Human Behavior, v. 33, p. 356-366, 2014.
KALLENBERG, F. G. J. et al. Validation of an online questionnaire for identifying people at risk of familial and hereditary colorectal cancer. Familial cancer, v. 14, n. 3, p. 401-410, 2015.
KEIM-MALPASS, Jessica; STEEVES, Richard H. Talking with death at a diner: young women's online narratives of cancer. In: Oncology nursing forum. 2012.
KENT, Erin E. et al. “Obesity is the new major cause of cancer”: connections between obesity and cancer on Facebook and Twitter. Journal of Cancer Education, v. 31, n. 3, p. 453-459, 2016.
KIM, Yonghwan et al. A distributed and cooperative NameNode cluster for a highlyavailable Hadoop distributed file system. IEICE TRANSACTIONS on Information and Systems, v. 98, n. 4, p. 835-851, 2015.
KIM, Moinay et al. Characteristics and treatments of large cystic brain metastasis: radiosurgery and stereotactic aspiration. Brain tumor research and treatment, v. 3, n. 1, p. 1-7, 2015.
КОBYLINSKA, Lesya I. et al. Differential pro-apoptotic effects of synthetic 4thiazolidinone derivative Les-3288, doxorubicin and temozolomide in human glioma U251 cells. Croatian medical journal, v. 58, n. 2, p. 150, 2017.
KURILOVAS, Eugenijus; JUSKEVICIENE, Anita. Creation of Web 2.0 tools ontology to improve learning. Computers in Human Behavior, v. 51, p. 1380-1386, 2015.
LASKY III, Joseph; NAKANO, Ichiro. Overview of Brain Tumor Stem Cells– Implications for Treatment. Current Signal Transduction Therapy, v. 8, n. 1, p. 4554, 2013.
LAMB, Rebecca et al. Antibiotics that target mitochondria effectively eradicate cancer stem cells, across multiple tumor types: treating cancer like an infectious disease. Oncotarget, v. 6, n. 7, p. 4569, 2015.
LAPOINTE, Liette; RAMAPRASAD, Jui; VEDEL, Isabelle. Collaborating through social media to create health awareness. In: System Sciences (HICSS), 2013 46th Hawaii International Conference on. IEEE, p. 792-801, 2013.
LIN, Po-Ching; LIN, Pei-Ying. Unintentional and Involuntary Personal Information Leakage on Facebook from User Interactions. KSII Transactions on Internet & Information Systems, v. 10, n. 7, 2016.
LUCCHIARI, Claudio et al. Experiencing brain cancer: what physicians should know about patients. Ecancermedicalscience, v. 9, 2015.
LUCK, Tobias et al. Advance directives and power of attorney for health care in the oldest-old–results of the AgeQualiDe study. BMC geriatrics, v. 17, n. 1, p. 85, 2017.
MATSUZAKI, Kiminori; MIYAZAKI, Reina. Parallel tree accumulations on MapReduce. International Journal of Parallel Programming, v. 44, n. 3, p. 466485, 2016.
MANGRAVITI, Antonella et al. Polymeric nanoparticles for nonviral gene therapy extend brain tumor survival in vivo. ACS nano, v. 9, n. 2, p. 1236-1249, 2015.
MOON, Sangwhan et al. Optimizing the Hadoop MapReduce Framework with highperformance storage devices. The Journal of Supercomputing, v. 71, n. 9, p. 35253548, 2015.
MWAKA, A. D.; OKELLO, E. S.; ORACH, C. G. Barriers to biomedical care and use of traditional medicines for treatment of cervical cancer: an exploratory qualitative study in northern Uganda. European journal of cancer care, v. 24, n. 4, p. 503-513, 2015.
NASLUND, John A. et al. Feasibility and acceptability of Facebook for health promotion among people with serious mental illness. Digital health, v. 2, p. 1-10, 2016.
National Cancer Institute Thesaurus. Bioportal. Disponível em: https://bioportal.bioontology.org/ontologies/NCIT. Acesso em 1 de jan. 2017.
PIHLAK, R. et al. Complementary medicine use among cancer patients receiving radiotherapy and chemotherapy: methods, sources of information and the need for counselling. European journal of cancer care, v. 23, n. 2, p. 249-254, 2014.
O’DRISCOLL, Aisling; DAUGELAITE, Jurate; SLEATOR, Roy D. ‘Big data’, Hadoop and cloud computing in genomics. Journal of biomedical informatics, v. 46, n. 5, p. 774-781, 2013.
OLIVER, Debra Parker et al. Lessons learned from a secret Facebook support group. Health & social work, v. 40, n. 2, p. 125-133, 2015.
SINNENBERG, Lauren et al. Twitter as a tool for health research: a systematic review. American Journal of Public Health (ajph), 2017.
OWNSWORTH, Tamara; NASH, Kimberley. Existential well-being and meaning making in the context of primary brain tumor: Conceptualization and implications for intervention. Frontiers in oncology, v. 5, 2015.
PARK, Bu Kyung; NAHM, Eun-Shim; ROGERS, Valerie E. Development of a teenfriendly health education program on Facebook: Lessons learned. Journal of Pediatric Health Care, v. 30, n. 3, p. 197-207, 2016.
PIERCE, Carrie E. et al. Evaluation of Facebook and Twitter monitoring to detect safety signals for medical products: an analysis of recent FDA safety alerts. Drug safety, v. 40, n. 4, p. 317-331, 2017.
PORTIER, Kenneth et al. Understanding topics and sentiment in an online cancer survivor community. Journal of the National Cancer Institute Monographs, v. 2013, n. 47, p. 195-198, 2013.
POLATO, Ivanilton et al. A comprehensive view of Hadoop research—A systematic literature review. Journal of Network and Computer Applications, v. 46, p. 1-25, 2014.
ROURA, Maria et al. "Carrying Ibuprofen in the Bag": Priority Health Concerns of Latin American Migrants in Spain-A Participatory Qualitative Study. PloS one, v. 10, n. 8, p. 1-21, 2015.
RUCKENSTUHL, Paul et al. Like or Dislike? Impact of Facebook on Ewing Sarcoma Treatment. JMIR cancer, v. 2, n. 2, 2016.
SEYFRIED, Thomas N. et al. Metabolic therapy: a new paradigm for managing malignant brain cancer. Cancer letters, v. 356, n. 2, p. 289-300, 2015.
SINGH, Rupinder; KAUR, Puneet Jai. Analyzing performance of Apache Tez and MapReduce with hadoop multinode cluster on Amazon cloud. Journal of Big Data, v. 3, n. 1, p. 19, 2016.
SUTHAKAR, Uthayanath et al. An efficient strategy for the collection and storage of large volumes of data for computation. Journal of Big Data, v. 3, n. 1, p. 21, 2016.
STREKALOVA, Yulia A.; KRIEGER, Janice L. A picture really is worth a thousand words: Public engagement with the National Cancer Institute on social media. Journal of Cancer Education, v. 32, n. 1, p. 155-157, 2017.
SYN, Sue Yeon; OH, Sanghee. Why do social network site users share information on Facebook and Twitter?. Journal of Information Science, v. 41, n. 5, p. 553-569, 2015.
SCHEEF, Andrew R.; JOHNSON, Cinda. The Power of the Cloud: Google Forms for Transition Assessment. Career Development and Transition for Exceptional Individuals, p. 1-6, 2017.
TAMBE, Prasanna. Big data investment, skills, and firm value. Management Science, v. 60, n. 6, p. 1452-1469, 2014.
THAKKAR, Jigisha P. et al. Epidemiologic and molecular prognostic review of glioblastoma. Cancer Epidemiology and Prevention Biomarkers, v. 23, n. 10, p. 1985-1996, 2014.
THEISS, Sunita Kapahi et al. Getting beyond impressions: an evaluation of engagement with breast cancer-related Facebook content. Mhealth, v. 2, n. 41, 2016.
TOLEDO, Manuel et al. Prognostic implications of epilepsy in glioblastomas. Clinical neurology and neurosurgery, v. 139, p. 166-171, 2015.
VAN TELLINGEN, O. et al. Overcoming the blood–brain tumor barrier for effective glioblastoma treatment. Drug Resistance Updates, v. 19, p. 1-12, 2015.
WEITZEL, Douglas H. et al. Neurobehavioral radiation mitigation to standard brain cancer therapy regimens by Mn (III) n‐butoxyethylpyridylporphyrin‐based redox modifier. Environmental and molecular mutagenesis, v. 57, n. 5, p. 372-381, 2016.
YANG, Weilian et al. Convection enhanced delivery of carboplatin in combination with radiotherapy for the treatment of brain tumors. Journal of neuro-oncology, v. 101, n. 3, p. 379-390, 2011.
ZENG, Lijuan et al. Treatment of Malignant Brain Tumor by Tumor‐Triggered Programmed Wormlike Micelles with Precise Targeting and Deep Penetration. Advanced Functional Materials, v. 26, n. 23, p. 4201-4212, 2016.
Publicado: 2023-06-30
Como citar (ABNT):
LACERDA, P. S. P. Mineração de Dados Aplicada à Investigação de Tumores Cerebrais: Explorando Conhecimentos e Desenvolvendo Soluções Engenharia. Revista Plural, São Paulo, v. 2, núm.3, p. 93 – 143, jun. 2023.
Volume 2 - Número 3 - Maio 2023: Caderno Engenharia