Data Science Vis-a-Vis Efficient Healthcare and Medical Systems: A Techno-Managerial Perspective

被引:0
作者
Paul, Prantosh K. [1 ]
Dey, Jayati Lahiri [1 ]
机构
[1] Raiganj Univ, Dept CIS, Raiganj, India
来源
2017 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT) | 2017年
关键词
Data Science; Health Information Science; Health Data Science; India; Rural Health Care; Big Data; Intelligent Systems; BIG DATA; PUBLIC-HEALTH; INFORMATICS; ANALYTICS; EDUCATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A large number of structured or unstructured data is the core of big data which organizations and institutions have the potentially for the analysis of business as well as other requirements. In big data platform data or information basically comes from different sources and importantly collected outcome of scientific experiments is used in the internet of things. In Big Data systems, Data may be treated as a source of intelligent systems mechanism by the use of separate software tools before analytics. It is an important fact that technology is rising everyday e.g. social media, in which the creation of information is just takes few seconds from the users. Data Science program is another terminology for Big Data. The Data Science is also referred as Business Analytics or simply Analytics domain. There are several applications of Big Data found in different sectors which include the Healthcare, Banking and Finance, Information Foundations as well as Corporate sectors. There is currently a shortage of data scientists and other analysts who have experience working with big data. Medical service is an emerging area in which applications of cloud based service are highly noticed in these days. Moreover analyzing in Big Data Management System helps in managing information in multiple scales in Health Care Service that include a particular disease to detailed of DNA, proteins and metabolites to cells, tissues, organs, organisms and ecosystems. This is a conceptual and also a kind of policy paper in which several in general aspects of big data with focused on medical systems have been illustrated. Paper is also explores potentialities of creating manpower for medical informatics or similar professionals having adequate knowledge of big data and analytics technologies.
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页数:8
相关论文
共 22 条
[1]   Organizational issues in health informatics: A model approach [J].
Aarts, J ;
Peel, V ;
Wright, G .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 1998, 52 (1-3) :235-242
[2]   Big Data for Health [J].
Andreu-Perez, Javier ;
Poon, Carmen C. Y. ;
Merrifield, Robert D. ;
Wong, Stephen T. C. ;
Yang, Guang-Zhong .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2015, 19 (04) :1193-1208
[3]   Big Data: A Survey [J].
Chen, Min ;
Mao, Shiwen ;
Liu, Yunhao .
MOBILE NETWORKS & APPLICATIONS, 2014, 19 (02) :171-209
[4]   Big data in biomedicine [J].
Costa, Fabricio F. .
DRUG DISCOVERY TODAY, 2014, 19 (04) :433-440
[5]  
FRIEDE A, 1995, ANNU REV PUBL HEALTH, V16, P239
[6]   Beyond the hype: Big data concepts, methods, and analytics [J].
Gandomi, Amir ;
Haider, Murtaza .
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2015, 35 (02) :137-144
[7]   Aims and tasks of medical informatics [J].
Haux, R .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 1997, 44 (01) :9-20
[8]   A review of data mining using big data in health informatics [J].
Herland M. ;
Khoshgoftaar T.M. ;
Wald R. .
Journal of Big Data, 2014, 1 (01)
[9]   Implementation and evaluation of a medical informatics distance education program [J].
Hersh, WR ;
Junium, K ;
Mailhot, M ;
Tidmarsh, P .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2001, 8 (06) :570-584
[10]  
Paul P.K., 2013, INT J COMPUTER SCI S, V6, P92