Literatura científica selecionada sobre o tema "SEER database"
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Artigos de revistas sobre o assunto "SEER database"
Ayman, Rasmy, Ameen Amal e AbdMonem Amira. "Lung Cancer Treatment: Incidence and Survival: SEER Database". Cancer Medicine Journal 2, n.º 2 (31 de dezembro de 2019): 36–40. http://dx.doi.org/10.46619/cmj.2019.2-1011.
Texto completo da fonteAytekin, Mahmut Nedim, Recep Öztürk, Mehmet Atıf Erol Aksekili, Ercan Bal e Metin Doğan. "Clear cell chondrosarcoma: SEER database analysis". Acta Oncologica Turcica 53, n.º 1 (2020): 24–28. http://dx.doi.org/10.5505/aot.2020.04382.
Texto completo da fonteChandana, Sreenivasa Rao, e Chintan Shah. "Appendiceal adenocarcinoma: Analysis of SEER database." Journal of Clinical Oncology 35, n.º 15_suppl (20 de maio de 2017): e18097-e18097. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e18097.
Texto completo da fonteFiellin, Martha, Susan Chemerynski e Jonathan Borak. "Race, ethnicity, and the Seer database". Medical and Pediatric Oncology 41, n.º 5 (22 de setembro de 2003): 413–14. http://dx.doi.org/10.1002/mpo.10400.
Texto completo da fonteOh, Janice, Yazan Abboud, Miguel Burch, Jun Gong, Kevin Waters, Jenan Ghaith, Yi Jiang et al. "Rising Incidence of Non-Cardia Gastric Cancer among Young Women in the United States, 2000–2018: A Time-Trend Analysis Using the USCS Database". Cancers 15, n.º 8 (13 de abril de 2023): 2283. http://dx.doi.org/10.3390/cancers15082283.
Texto completo da fonteRamsingh, G., P. Mehan, J. Luo, R. Vij e D. Morgensztern. "Plasma cell leukemia: A SEER database analysis". Journal of Clinical Oncology 27, n.º 15_suppl (20 de maio de 2009): 8605. http://dx.doi.org/10.1200/jco.2009.27.15_suppl.8605.
Texto completo da fonteAcharya, Pankti P., Deeksha Sarma e Brian McKinnon. "Trends of temporal bone cancer: SEER database". American Journal of Otolaryngology 41, n.º 1 (janeiro de 2020): 102297. http://dx.doi.org/10.1016/j.amjoto.2019.102297.
Texto completo da fonteEdwards, George, Lucas Ashley, Arjun Bhatt e Aidan Burke. "PENILE SQUAMOUS CELL CARCINOMA SEER DATABASE ANALYSIS". Urologic Oncology: Seminars and Original Investigations 42 (março de 2024): S67. http://dx.doi.org/10.1016/j.urolonc.2024.01.193.
Texto completo da fonteLin, Min-Qiang, Chen-Lu Lian, Ping Zhou, Jian Lei, Jun Wang, Li Hua, Juan Zhou e San-Gang Wu. "Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study". JMIR Medical Informatics 8, n.º 11 (17 de novembro de 2020): e21931. http://dx.doi.org/10.2196/21931.
Texto completo da fonteJanz, Tyler A., Evan M. Graboyes, Shaun A. Nguyen, Mark A. Ellis, David M. Neskey, E. Emily Harruff e Eric J. Lentsch. "A Comparison of the NCDB and SEER Database for Research Involving Head and Neck Cancer". Otolaryngology–Head and Neck Surgery 160, n.º 2 (21 de agosto de 2018): 284–94. http://dx.doi.org/10.1177/0194599818792205.
Texto completo da fonteTeses / dissertações sobre o assunto "SEER database"
Rogowitz, Elisa, Hani Babiker, Mohammed Kanaan, Rebecca Millius, Q. Ringenberg e Maria Bishop. "Neuroblastoma of the elderly, an oncologist's nightmare: case presentation, literature review and SEER database analysis". BioMed Central, 2014. http://hdl.handle.net/10150/610137.
Texto completo da fonteLee, Serena. "Epidemiology, outcome, and prognostic factors of oropharyngeal lymphoepithelial carcinoma: A population-based analysis using the SEER database". Scholarly Commons, 2020. https://scholarlycommons.pacific.edu/dugoni_etd/12.
Texto completo da fonteKou, Tzuyung Doug. "Watchful Waiting Active Surveillance in Prostate Cancer Patients a Population-Based Study Using the SEER-Medicare Linked Database". Cleveland, Ohio : Case Western Reserve University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1207309899.
Texto completo da fonteTitle from PDF (viewed on 26 May 2009) Includes abstract Department of Epidemiology and Biostatistics Includes bibliographical references [and appendices] Available online via the OhioLINK ETD Center
Li, Honghao. "Interpretable biological network reconstruction from observational data". Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5207.
Texto completo da fonteThis thesis is focused on constraint-based methods, one of the basic types of causal structure learning algorithm. We use PC algorithm as a representative, for which we propose a simple and general modification that is applicable to any PC-derived methods. The modification ensures that all separating sets used during the skeleton reconstruction step to remove edges between conditionally independent variables remain consistent with respect to the final graph. It consists in iterating the structure learning algorithm while restricting the search of separating sets to those that are consistent with respect to the graph obtained at the end of the previous iteration. The restriction can be achieved with limited computational complexity with the help of block-cut tree decomposition of the graph skeleton. The enforcement of separating set consistency is found to increase the recall of constraint-based methods at the cost of precision, while keeping similar or better overall performance. It also improves the interpretability and explainability of the obtained graphical model. We then introduce the recently developed constraint-based method MIIC, which adopts ideas from the maximum likelihood framework to improve the robustness and overall performance of the obtained graph. We discuss the characteristics and the limitations of MIIC, and propose several modifications that emphasize the interpretability of the obtained graph and the scalability of the algorithm. In particular, we implement the iterative approach to enforce separating set consistency, and opt for a conservative rule of orientation, and exploit the orientation probability feature of MIIC to extend the edge notation in the final graph to illustrate different causal implications. The MIIC algorithm is applied to a dataset of about 400 000 breast cancer records from the SEER database, as a large-scale real-life benchmark
Cheng, Chung-chee, e 鄭頌慈. "Strategies for students to seek information on the web: an action research". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29399555.
Texto completo da fonteLuca, Luiz Alberto Oliveira de. "Como o database marketing pode ser usado para posicionar estrategicamente a empresa no mercado". reponame:Repositório Institucional do FGV, 1996. http://hdl.handle.net/10438/5625.
Texto completo da fonteUtilização do Database Marketing, o marketing com banco de dados, e sua obtenção através do Sistema de Informação de Marketing SIM, visando a buscar a otimização do relacionamento com os clientes, criando um vínculo de fidelidade, atendendo suas necessidades e conhecendo-os profundamente nos seus desejos. Esta relação tenderá a manter os clientes atuais, reconquistar os perdidos e buscar novos clientes de forma mais eficaz. São utilizados os princípios e elementos de marketing no planejamento e operacionalização de uma empresa, assim como o conceito de vantagem competitiva, visando não somente uma maior participação no mercado, mas principalmente como posicioná-la estrategicamente
Leverington, Cheyanna Leigh. "GIS and Spatial Database Expansion as a Means to Enhance Planning, Water Demand Projections and the Impacts of Climate Change: An Internship with the NYC Department of Environmental Protection and a NNEMS Fellowship with the US EPA". Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1399051495.
Texto completo da fonteWood, Richard, Konstantin Stadler, Moana Simas, Tatyana Bulavskaya, Stefan Giljum, Franz Stephan Lutter e Arnold Tukker. "Growth in Environmental Footprints and Environmental Impacts Embodied in Trade: Resource Efficiency Indicators from EXIOBASE3". Wiley, 2018. http://dx.doi.org/10.1111/jiec.12735.
Texto completo da fonteGriffiths, Thomas Richard. "An Enhanced Data Model and Tools for Analysis and Visualization of Levee Simulations". Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3477.pdf.
Texto completo da fonteFumagalli, Junior Edson Machado. "SISTEMA DE RASTREAMENTO DE SEMENTES SEMENTES GEORASTER". Universidade Federal de Santa Maria, 2013. http://repositorio.ufsm.br/handle/1/9580.
Texto completo da fonteCom o crescente avanço de artefatos tecnológicos, novas maneiras de acompanhamento e conhecimento das origens das sementes através de tecnologias aplicadas e disponibilidade na rede mundial de computadores, é possivel armazenar e consultar dados em banco de dados geograficos podendo visualizar e acompanhar todo o trabalho realizado nos anos anteriores juntamente com os dados da agricultura de precisão e aplicações, manejos associados a origem das sementes. A utilização de ferramentas de programação web e banco de dados o qual possibilita uma integração com os resultados da aplicação de técnicas de agricultura de precisão possibilita um histórico da origem e produção de sementes anteriormente registradas. A aplicação das geotecnologias e o registro espacializado dos locais de plantio permite verificar a existência de atividades agronomicas em determinado território, podendo utilizar as informações armazenadas no banco de dados atraves de softwares de agricultura de precisão de diversos fornecedores. Os resultados obtidos pela pesquisa poderão auxiliar às iniciativas para elaboração de projetos e acompanhamento de produção agrícola e certificação de sementes.
Livros sobre o assunto "SEER database"
M, Spehn E., e Körner Christian 1949-, eds. Data mining for global trends in mountain biodiversity. Boca Raton: CRC Press, 2010.
Encontre o texto completo da fonteELIV-MarketPlace 2018. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783181023389.
Texto completo da fonteHorowitz, Joshua. Cervical Radicular Pain. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190217518.003.0018.
Texto completo da fonteKim, Hugh Hoikwang, Raimond Maurer e Olivia S. Mitchell. Choosing a Financial Advisor. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808039.003.0005.
Texto completo da fonteHarrison, Maryke, Tracy Lauren Vargo, Conrad Joseph Camit, Vedant Agrawal, Laura Gramling, Rayna Sanghvi, Lori Holleran e Bruce Bongar. Suicide Prevention and Psychological Resilience for Military and Veterans. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199935291.013.37.
Texto completo da fonteStraaijer, Robin. The usage guide. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808206.003.0002.
Texto completo da fonteClark, Catherine E. Looking Back, Looking Forward. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190681647.003.0007.
Texto completo da fonteStivers, Tanya. The Book of Answers. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197563892.001.0001.
Texto completo da fonteMakse, Todd, Scott Minkoff e Anand Sokhey. Politics on Display. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190926311.001.0001.
Texto completo da fonteSchomer, Donald L., e Fernando H. Lopes da Silva, eds. Niedermeyer's Electroencephalography. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.001.0001.
Texto completo da fonteCapítulos de livros sobre o assunto "SEER database"
Li, Jixin, Ilya Muchnik e Dona Schneider. "Influences on breast cancer survival via SVM classification in the SEER database". In DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 233–42. Providence, Rhode Island: American Mathematical Society, 2007. http://dx.doi.org/10.1090/dimacs/070/12.
Texto completo da fonteHernández-Pérez, Carlos, Cristian Pachón-García, Pedro Delicado e Verónica Vilaplana. "Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database". In Explainable Artificial Intelligence and Process Mining Applications for Healthcare, 52–61. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54303-6_6.
Texto completo da fonteMendes, Felipe Cardeneti, Piotr Sarna, Pavel Emelyanov e Cynthia Dunlop. "Database Drivers". In Database Performance at Scale, 77–107. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9711-7_5.
Texto completo da fonteWei, Fang, Weining Qian, Zhongchao Fei e Aoying Zhou. "Identifying Community Structures in Networks with Seed Expansion". In Database Systems for Advanced Applications, 627–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12026-8_47.
Texto completo da fonteGlinz, Martin, Hansjörg Huser e Jochen Ludewig. "SEED — A Database System for Software Engineering Environments". In Datenbank-Systeme für Büro, Technik und Wissenschaft, 121–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70284-6_10.
Texto completo da fonteAsaad, Chaimae, e Karim Baïna. "NoSQL Databases – Seek for a Design Methodology". In Model and Data Engineering, 25–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00856-7_2.
Texto completo da fonteGrafahrend-Belau, Eva, Björn H. Junker e Falk Schreiber. "Plant Metabolic Pathways: Databases and Pipeline for Stoichiometric Analysis". In Seed Development: OMICS Technologies toward Improvement of Seed Quality and Crop Yield, 345–66. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4749-4_17.
Texto completo da fonteMendes, Felipe Cardeneti, Piotr Sarna, Pavel Emelyanov e Cynthia Dunlop. "Benchmarking". In Database Performance at Scale, 175–99. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9711-7_9.
Texto completo da fonteKursun, Olcay, Kenneth M. Reynolds e Oleg Favorov. "Matching Images of Never-Before-Seen Individuals in Large Law Enforcement Databases". In Intelligence and Security Informatics, 766–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760146_125.
Texto completo da fonteAmati, Giambattista, Antonio Cruciani, Daniele Pasquini, Paola Vocca e Simone Angelini. "propagate: A Seed Propagation Framework to Compute Distance-Based Metrics on Very Large Graphs". In Machine Learning and Knowledge Discovery in Databases: Research Track, 671–88. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43418-1_40.
Texto completo da fonteTrabalhos de conferências sobre o assunto "SEER database"
Zhong, Xin-Yi, Zhu-Fei Cai, Shi-Jun Zhou, Jia-Lei Ding, Chen Xie, Xuan-Yu Wu e Ying Chen. "A Data Mining Experiment on SEER Database using Artificial Neural Network". In 2020 8th International Conference on Orange Technology (ICOT). IEEE, 2020. http://dx.doi.org/10.1109/icot51877.2020.9468764.
Texto completo da fonteThatikunta, Meena, Luke Pearson e William Gump. "Pediatric Germ Cell Tumor Outcomes: Seer Database Analysis from 1973 TO 2005". In 29th Annual Meeting North American Skull Base Society. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1679838.
Texto completo da fonteMei, Lin, Taha Al-Juhaishi, Andrew Poklepovic e Asit Paul. "Abstract 3304: CNS metastases in prostate cancer: an analysis of SEER database". In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-3304.
Texto completo da fonteWallace, Nathan J., e Anand K. Devaiah. "Gains Realized in Pituitary Carcinoma Survival: A Contemporary Evaluation Using the Seer Database". In 30th Annual Meeting North American Skull Base Society. Georg Thieme Verlag KG, 2020. http://dx.doi.org/10.1055/s-0040-1702448.
Texto completo da fonteZhou, Xudong, e Qiwen Liu. "Mechanistic study and analysis of Cox regression model for colon cancer based on SEER database". In 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA). IEEE, 2021. http://dx.doi.org/10.1109/icaica52286.2021.9498017.
Texto completo da fonteGu, Zhangyuan, Cheng Xu e Zhigang Zhuang. "Abstract PS7-60: Adenosquamous carcinoma of the breast: A population-based study using the SEER database". In Abstracts: 2020 San Antonio Breast Cancer Virtual Symposium; December 8-11, 2020; San Antonio, Texas. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.sabcs20-ps7-60.
Texto completo da fonteKhoury, John, Nwabundo Anusim, David Macari e Ishmael Jaiyesimi. "Abstract P4-17-07: Demographics and survival in male breast cancer: An updated analysis of SEER database". In Abstracts: 2019 San Antonio Breast Cancer Symposium; December 10-14, 2019; San Antonio, Texas. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.sabcs19-p4-17-07.
Texto completo da fonteZhou, Changqing, e Degang Zhu. "Development and Validation of Prognostic Nomogram for Young Patients with Hepatocellular Carcinoma (HCC): A Study Based on SEER Database". In 2023 7th International Conference on Biomedical Engineering and Applications (ICBEA). IEEE, 2023. http://dx.doi.org/10.1109/icbea58866.2023.00011.
Texto completo da fonteRouzier, R., B. Lesieur, C. Coutant e S. Uzan. "A new design of clinical trial – use of nomograms – illustration with local treatment of T2 tumors in the SEER database." In CTRC-AACR San Antonio Breast Cancer Symposium: 2008 Abstracts. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-4079.
Texto completo da fonteJandova, Jana, Viraj Pandit, Ravina Thuraisingam e Valentine Nfonsam. "Abstract C34: Assessing the national trends in incidence of colon cancer among Native Americans: A 12-year SEER database study". In Abstracts: Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; September 25-28, 2016; Fort Lauderdale, FL. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7755.disp16-c34.
Texto completo da fonteRelatórios de organizações sobre o assunto "SEER database"
Chen, Bin, Cimin Shen, Na Li, Lu Wang e Dangdang Chen. Thermotherapy for shoulder pain: a protocol for systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, novembro de 2021. http://dx.doi.org/10.37766/inplasy2021.11.0086.
Texto completo da fonteParfenova, Elena. Database "Climate parameters of seed provenances of pine in northern eurasia". SIB-Expertise, dezembro de 2020. http://dx.doi.org/10.12731/sib-expertise-0351-25122020.
Texto completo da fonteLewis, Dustin, ed. Database of States’ Statements (August 2011–October 2016) concerning Use of Force in relation to Syria. Harvard Law School Program on International Law and Armed Conflict, maio de 2017. http://dx.doi.org/10.54813/ekmb4241.
Texto completo da fontePrice, Roz. Lessons From Livelihood Interventions that Increase the Resilience of Populations to Droughts in Afghanistan and Other FCAS. Institute of Development Studies (IDS), novembro de 2021. http://dx.doi.org/10.19088/k4d.2022.012.
Texto completo da fonteFerrazzo, Giovanna, Jesse Madden Libra e María Pérez Urdiales. Water Footprint Estimation in Latin America. Inter-American Development Bank, janeiro de 2024. http://dx.doi.org/10.18235/0005527.
Texto completo da fontePaulín-Hutmacher, Agustín, Raúl Abreu-Lastra, Marco A. López-Silva e Alberto Saracho-Martínez. Housing Finance in Mexico: Current State and Future Sustainability. Inter-American Development Bank, novembro de 2011. http://dx.doi.org/10.18235/0008970.
Texto completo da fontePowell, Andrew, e Giovanni Majnoni. On Endogenous Risk, the Amplification Effects of Financial Systems and Macro Prudential Policies. Inter-American Development Bank, novembro de 2011. http://dx.doi.org/10.18235/0011345.
Texto completo da fonteIyer, Ananth V., Samuel Labi, Steven Dunlop, Thomas Brady Jr. e Eki Amijaya. Cost and Benefit Analysis of Installing Fiber Optics on INDOT Projects. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317131.
Texto completo da fonteWalmsley, Terrie, Angel Aguiar e Badri Narayanan. Introduction to the Global Trade Analysis Project and the GTAP Data Base. GTAP Working Paper, maio de 2012. http://dx.doi.org/10.21642/gtap.wp67.
Texto completo da fonteLopes da Silva, Diego, Nan Tian, Lucie Béraud-Sudreau, Alexandra Marksteiner e Xiao Liang. Trends in World Military Expenditure, 2021. Stockholm International Peace Research Institute, abril de 2022. http://dx.doi.org/10.55163/dzjd8826.
Texto completo da fonte