A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector
暂无分享,去创建一个
Joel J. P. C. Rodrigues | Isabel de la Torre Díez | Sofiane Hamrioui | Miguel López Coronado | Susel Góngora Alonso | Joel Rodrigues | I. D. L. T. Díez | S. G. Alonso | Sofiane Hamrioui
[1] H. Ellis,et al. Current Therapeutic Advances Targeting EGFR and EGFRvIII in Glioblastoma , 2015, Front. Oncol..
[2] KhanSamiya,et al. A survey on scholarly data , 2017 .
[3] Sean D. Young,et al. A "big data" approach to HIV epidemiology and prevention. , 2015, Preventive medicine.
[4] Ms. Ishtake. " Intelligent Heart Disease Prediction System Using Data Mining Techniques " , .
[5] David S. Goodsell,et al. The RCSB Protein Data Bank: redesigned web site and web services , 2010, Nucleic Acids Res..
[6] José Manuel Martínez Sesmero,et al. "Big Data"; aplicación y utilidad para el sistema sanitario , 2015 .
[7] Sa'diyah Noor Novita Alfisahrin,et al. Data Mining Techniques for Optimization of Liver Disease Classification , 2013, 2013 International Conference on Advanced Computer Science Applications and Technologies.
[8] Abhay Bansal,et al. Chronic Kidney Disease analysis using data mining classification techniques , 2016, 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence).
[9] Wendy J. Ungar,et al. National Database for Autism Research (NDAR): Big Data Opportunities for Health Services Research and Health Technology Assessment , 2016, PharmacoEconomics.
[10] Fabrício F. Costa. Big data in biomedicine. , 2014, Drug discovery today.
[11] Priyanka Sharma,et al. Big data for better health planning , 2014, 2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014).
[12] Anwar Haque,et al. Large-scale machine learning based on functional networks for biomedical big data with high performance computing platforms , 2015, J. Comput. Sci..
[13] M. Durairaj,et al. An empirical study on applying data mining techniques for the analysis and prediction of heart disease , 2013, 2013 International Conference on Information Communication and Embedded Systems (ICICES).
[14] Nidheesh Melethadathil,et al. Classification and clustering for neuroinformatics: Assessing the efficacy on reverse-mapped NeuroNLP data using standard ML techniques , 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
[15] Suresh Chalasani,et al. Predictive analytics on Electronic Health Records (EHRs) using Hadoop and Hive , 2015, 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).
[16] Amit Kumar,et al. Cloud computing for improved healthcare: Techniques, potential and challenges , 2013, 2013 E-Health and Bioengineering Conference (EHB).
[17] T. Pramananda Perumal,et al. A Predictive Approach for Diabetes Mellitus Disease through Data Mining Technologies , 2014, 2014 World Congress on Computing and Communication Technologies.
[18] Mansaf Alam,et al. A survey on scholarly data: From big data perspective , 2017, Inf. Process. Manag..
[19] Shaila H. Koppad,et al. Application of big data analytics in healthcare system to predict COPD , 2016, 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT).
[20] David Meyre,et al. From big data analysis to personalized medicine for all: challenges and opportunities , 2015, BMC Medical Genomics.
[21] Naveen Garg,et al. Challenges and Techniques for Testing of Big Data , 2016 .
[22] Leo Anthony Celi,et al. Preparing a New Generation of Clinicians for the Era of Big Data. , 2015, Harvard medical student review.
[23] João Falcão e Cunha,et al. Health Twitter Big Bata Management with Hadoop Framework , 2015 .
[24] Yelena Yesha,et al. SQL-like big data environments: Case study in clinical trial analytics , 2015, 2015 IEEE International Conference on Big Data (Big Data).
[25] Athanasios V. Vasilakos,et al. Big data: From beginning to future , 2016, Int. J. Inf. Manag..
[26] Kayvan Najarian,et al. Big Data Analytics in Healthcare , 2015, BioMed research international.
[27] Timothy N. Showalter,et al. Big Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery , 2015, Front. Oncol..
[28] Witold Pedrycz,et al. An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities , 2017, Knowl. Based Syst..
[29] Raghunath Nambiar,et al. A look at challenges and opportunities of Big Data analytics in healthcare , 2013, 2013 IEEE International Conference on Big Data.
[30] Carmen C. Y. Poon,et al. Big Data for Health , 2015, IEEE Journal of Biomedical and Health Informatics.
[31] Maamoun Ahmed,et al. Data Mining and Fusion Techniques for WSNs as a Source of the Big Data , 2015 .
[32] C. L. Philip Chen,et al. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..
[33] Marylyn D. Ritchie,et al. A comparison of cataloged variation between International HapMap Consortium and 1000 Genomes Project data , 2012, J. Am. Medical Informatics Assoc..
[34] Glòria Pérez,et al. Peligros del uso de los big data en la investigación en salud pública y en epidemiología , 2016 .
[35] S. Lavanya,et al. Predictive Methodology for Diabetic Data Analysis in Big Data , 2015 .
[36] Tao Huang,et al. Promises and Challenges of Big Data Computing in Health Sciences , 2015, Big Data Res..
[37] Malcolm Keech,et al. Emerging Technologies for Health Data Analytics Research: A Conceptual Architecture , 2015, 2015 26th International Workshop on Database and Expert Systems Applications (DEXA).
[38] Roy D. Sleator,et al. 'Big data', Hadoop and cloud computing in genomics , 2013, J. Biomed. Informatics.
[39] Fei Jiang,et al. Big data issues in smart grid – A review , 2017 .
[40] Ivan Merelli,et al. Managing, Analysing, and Integrating Big Data in Medical Bioinformatics: Open Problems and Future Perspectives , 2014, BioMed research international.
[41] David S. Wishart,et al. HMDB 3.0—The Human Metabolome Database in 2013 , 2012, Nucleic Acids Res..
[42] Ahmed Patel,et al. Empirical rapid and accurate prediction model for data mining tasks in cloud computing environments , 2014, 2014 International Congress on Technology, Communication and Knowledge (ICTCK).