Literature DB >> 26577624

Big Data and Analytics in Healthcare.

S S-L Tan1, G Gao, S Koch.   

Abstract

This editorial is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare". The amount of data being generated in the healthcare industry is growing at a rapid rate. This has generated immense interest in leveraging the availability of healthcare data (and "big data") to improve health outcomes and reduce costs. However, the nature of healthcare data, and especially big data, presents unique challenges in processing and analyzing big data in healthcare. This Focus Theme aims to disseminate some novel approaches to address these challenges. More specifically, approaches ranging from efficient methods of processing large clinical data to predictive models that could generate better predictions from healthcare data are presented.

Keywords:  Healthcare analytics; big data; healthcare informatics; natural language processing; predictive analytics

Mesh:

Year:  2015        PMID: 26577624     DOI: 10.3414/ME15-06-1001

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  9 in total

1.  Feasibility of Population Health Analytics and Data Visualization for Decision Support in the Infectious Diseases Domain: A pilot study.

Authors:  Don Roosan; Guilherme Del Fiol; Jorie Butler; Yarden Livnat; Jeanmarie Mayer; Matthew Samore; Makoto Jones; Charlene Weir
Journal:  Appl Clin Inform       Date:  2016-06-29       Impact factor: 2.342

2.  Machine learning approaches to personalize early prediction of asthma exacerbations.

Authors:  Joseph Finkelstein; In Cheol Jeong
Journal:  Ann N Y Acad Sci       Date:  2016-09-14       Impact factor: 5.691

Review 3.  eResearch in acute kidney injury: a primer for electronic health record research.

Authors:  Emily L Joyce; Dilhari R DeAlmeida; Dana Y Fuhrman; Priyanka Priyanka; John A Kellum
Journal:  Nephrol Dial Transplant       Date:  2019-03-01       Impact factor: 5.992

4.  RBC Inventory-Management System Based on XGBoost Model.

Authors:  Xiaolin Sun; Zhenhua Xu; Yannan Feng; Qingqing Yang; Yan Xie; Deqing Wang; Yang Yu
Journal:  Indian J Hematol Blood Transfus       Date:  2020-11-02       Impact factor: 0.900

5.  Big data simulations for capacity improvement in a general ophthalmology clinic.

Authors:  Christoph Kern; André König; Dun Jack Fu; Benedikt Schworm; Armin Wolf; Siegfried Priglinger; Karsten U Kortuem
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-01-02       Impact factor: 3.117

6.  A pilot and comparative study between pathological and serological levels of immunoglobulin and complement among three kinds of primary glomerulonephritis.

Authors:  Jin Dong; Tianhao Peng; Jing Gao; Xingwang Jia; Guangtao Yan; Yong Wang
Journal:  BMC Immunol       Date:  2018-06-20       Impact factor: 3.615

Review 7.  Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery.

Authors:  Nicholas Ekow Thomford; Dimakatso Alice Senthebane; Arielle Rowe; Daniella Munro; Palesa Seele; Alfred Maroyi; Kevin Dzobo
Journal:  Int J Mol Sci       Date:  2018-05-25       Impact factor: 5.923

8.  An argument for reporting data standardization procedures in multi-site predictive modeling: case study on the impact of LOINC standardization on model performance.

Authors:  Amie J Barda; Victor M Ruiz; Tony Gigliotti; Fuchiang Rich Tsui
Journal:  JAMIA Open       Date:  2019-02-04

9.  Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.

Authors:  Joanna Kedra; Timothy Radstake; Aridaman Pandit; Xenofon Baraliakos; Francis Berenbaum; Axel Finckh; Bruno Fautrel; Tanja A Stamm; David Gomez-Cabrero; Christian Pristipino; Remy Choquet; Hervé Servy; Simon Stones; Gerd Burmester; Laure Gossec
Journal:  RMD Open       Date:  2019-07-18
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.