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Natural Language Processing and Parallel Computing for Information Retrieval from Electronic Health Records

Ali Abu Salimeh, Najah Al-shanableh, Mazen Alzyoud, A. Kattan
2022 ITM Web of Conferences  
In this paper, we review the literature to find suitable information retrieval techniques for EHealth.  ...  LSI uses a mathematical model called SVD, which is not scalable for large amounts of data due to its complexity and exhausts the memory, and a review for recent applications of LSI was discussed.  ...  Information Retrieval, Electronic Health Records, Natural Language Processing and Parallel Computing Al-Qahtani proposed a novel approach that aimed at improving the process of information retrieval from  ... 
doi:10.1051/itmconf/20224201013 fatcat:thgpluxzoveaxigs4xhim72gui

Special Issue Editorial: Big Data for Mobile Services

Jason J. Jung
2018 Journal on spesial topics in mobile networks and applications  
The last paper "A Deep-Big Data Approach to Health Care in the AI Age" has shown an interesting deep learning approach to analyze big health-care data.  ...  The 8th EAI International Conference on Big Data Technologies and Applications (BDTA) has mainly focused on a wide array of scalability issues and investigated new approaches to tackle problems arising  ...  The last paper "A Deep-Big Data Approach to Health Care in the AI Age" has shown an interesting deep learning approach to analyze big health-care data.  ... 
doi:10.1007/s11036-018-1070-7 fatcat:xmgmgg6w5bcjphrfwqczxpl4ai

Big Data-Driven Health Surveillance [chapter]

2018 The Big Data Agenda: Data Ethics and Critical Data Studies  
The emergence of research using big data for public health surveillance is directly related to the vast, diverse data generated by individuals online.  ...  Such data have come to play a role in research on public health surveillance.  ...  For the US, access to health relevant information via social networking sites such as Facebook is possible due to the lack of legal frameworks protecting users' rights to certain big health data.  ... 
doi:10.16997/book14.e fatcat:uxytanw5bzhlbeldzgphcj6zjm

Generating and Knowledge Framework: Design and Open Specification

Usman Wajid, Chris Orton, Andriana Magdalinou, John Mantas, Lydia Montandon
2019 Acta Informatica Medica  
The Information Aggregation (IA) component manages streaming and batch data deriving from a multitude sources in a scalable, efficient and reliable way to create Holistic Health Records (HHRs).Within this  ...  context, the IA component combines a number of diverse data sources into a common format and stores information in an available form to be used for analytics, simulations and decision making.  ...  for storage and retrieval of information to/from HHRs.  ... 
doi:10.5455/aim.2019.27.362-368 pmid:32210505 pmcid:PMC7085337 fatcat:anq53ejuzvbkhdl7zzqnuxfkcq

Emerging (Inter-)Dependencies and their Implications [chapter]

2018 The Big Data Agenda: Data Ethics and Critical Data Studies  
using big data for health research and those examining such approaches.  ...  Informed consent is dismissed by those engaged in big data-driven research as superfluous for studying data subjects, as a relic of obsolete data retrieval conditions and as a now avoidable source of bias  ... 
doi:10.16997/book14.f fatcat:qy2unc5uargsvfbumsxknuor2y

"Big Data" and the Electronic Health Record

M. K. Ross, W. Wei, L. Ohno-Machado
2014 IMIA Yearbook of Medical Informatics  
In reviewing the literature for the past three years, we focus on "big data" in the context of EHR systems and we report on some examples of how secondary use of data has been put into practice.  ...  Methods: We searched PubMed database for articles from January 1, 2011 to November 1, 2013. We initiated the search with keywords related to "big data" and EHR.  ...  We thank Lisa Naidoo and Mary Wickline for assistance with article retrieval.  ... 
doi:10.15265/iy-2014-0003 pmid:25123728 pmcid:PMC4287068 fatcat:qydsoau5urfn3cgexpwganzg2i

Big Data Application in Biomedical Research and Health Care: A Literature Review

Jake Luo, Min Wu, Deepika Gopukumar, Yiqing Zhao
2016 Biomedical Informatics Insights  
Big data technologies are increasingly used for biomedical and health-care informatics research.  ...  The application of big data in health care is a fast-growing field, with many new discoveries and methodologies published in the last five years.  ...  In this section, we classified big data technologies/tools into four categories: (1) data storage and retrieval, (2) interactive data retrieval for data sharing, (3) data security, and (4) data analysis  ... 
doi:10.4137/bii.s31559 pmid:26843812 pmcid:PMC4720168 fatcat:stiplfqutjh65gpnlwmf7a2xkm

Contributions on Computational Intelligence in the Medical Sector

Helen Tucci Wang
2021 Journal of Biomedical and Sustainable Healthcare Applications  
Meeting this need requires not just a large allocation of capital, but also a comprehensive application of information, resulting in efforts like electronic health record standards.  ...  Despite problems with standardization and availability, the enormous quantity of data that results is a significant tool for the machine learning industry.  ...  Data Retrieval for Data Sharing In order to share medical knowledge and integrate data, interactive health information extraction is anticipated to play a significant role.  ... 
doi:10.53759/0088/jbsha202101001 fatcat:ettrqhzkwvconmrblxzgjdavrm

Information accountability and Health Big Data Analytics: A consent-based model

Daniel Grunwell, Tony Sahama
2015 2015 17th International Conference on E-health Networking, Application & Services (HealthCom)  
In this paper, we have proposed an information accountability approach to addressing the privacy concerns of combining data for health data through a patient consent based approach.  ...  Fig. 1 . 1 Information accountability model for health big data analytics  ... 
doi:10.1109/healthcom.2015.7454497 dblp:conf/healthcom/GrunwellS15 fatcat:kkngbf6ul5avxhrsdkywmdxmae

Mining Health Data using Weighted Approach

P. Priyanga, Naveen N.
2016 Communications on Applied Electronics  
The main objective is to develop a fast and efficient algorithm for real-time processing of big data and create knowledge out of the existing information in the web.  ...  WA plays a major role in health care domain, to search health related information required from the web. Gathering knowledge about health has become a complex procedure for the majority of users.  ...  Priyanka K [21] proposed a brief introduction about how they can uncover additional value from health information used in health care organizations using a new information management approach called  ... 
doi:10.5120/cae2016652381 fatcat:n3z2rrlyffhspirvtx3yrpfaiy

Health Insurance Data Processing using Linked Data

The proposed technique uses a linked data approach for risk analysis and related information retrieval methods over structured data. The work efficiency is also tested and found to be good  ...  Using Linked data, information retrieval process can be easier as data or databases interlinked semantically.  ...  Thus linked data approach benefits information retrieval for user queries. D.  ... 
doi:10.35940/ijitee.j9043.0881019 fatcat:kszuycwl2zc3do4f5yqtagdjjy

Health Twitter Big Bata Management with Hadoop Framework

João Cunha, Catarina Silva, Mário Antunes
2015 Procedia Computer Science  
We show that big health social data can generate important information, valuable both for common users and practitioners.  ...  In this work, we propose a generic functional architecture with Apache Hadoop framework and Mahout for handling, storing and analyzing big data that can be used in different scenarios.  ...  It is applied to a hybrid approach using the health systems data and the large Twitter health data.  ... 
doi:10.1016/j.procs.2015.08.536 fatcat:xst2edhhyfeshd2gki5ooxxxjm

Big Data Science and its Applications in Healthcare and Medical Research: Challenges and Opportunities

Liang Y
2016 Austin Biometrics and Biostatistics  
Therefore, a top layer question for Big Data scientists is what the important framework for good Big Data governance and implementation is in order to make it actionable and operational.  ...  Recently, Big Data science has been a hot topic in the scientific, industrial and the business worlds.  ...  analysis and information retrieval; 6) causal inferences and Bayesian approach with probabilistic interpretations [13] .  ... 
doi:10.26420/austinbiomandbiostat.2016.1030 fatcat:lmo5kzttxfdinauuqalnuqvma4

Big Data in Medicine Is Driving Big Changes

F. Martin-Sanchez, K. Verspoor
2014 IMIA Yearbook of Medical Informatics  
Results: The survey highlights ongoing development of powerful new methods for turning that large-scale, and often complex, data into information that provides new insights into human health, in a range  ...  Objectives: To summarise current research that takes advantage of "Big Data" in health and biomedical informatics applications.  ...  He was the Chair of the Scientific Program Committee for the first HISA Conference on BIG DATA, held in Melbourne, Australia in April 2013.  ... 
doi:10.15265/iy-2014-0020 pmid:25123716 pmcid:PMC4287083 fatcat:i6acshfjwrdb3kdhcadlvapzgy

Big Data in Biomedical Research [chapter]

2018 The Big Data Agenda: Data Ethics and Critical Data Studies  
Approaches to digital, big data-driven public health surveillance can be broadly categorised according to how the used data have been retrieved.  ...  Projects like Big Data Europe, which involves a big data health pilot, also received funding from grant schemes such as 'Content technologies and information management: ICT for digital content, cultural  ... 
doi:10.16997/book14.d fatcat:evqbq3r5hvbibowdwjuqkw7tbm
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