NDLI: Creating dynamic and customized fetal growth curves using cloud computing

Content Provider	IEEE Xplore Digital Library
Author	Bochicchio, M.A. Longo, A. Vaira, L. Malvasi, A. Tinelli, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Phys., Colorado State Univ., Fort Collins, CO, USA (Longo, A.) \|\| Nat. Inst. of Stand. & Technol., Boulder, CO, USA (Bochicchio, M.A.) \|\| Electr. Eng. Dept., Univ. of Colorado, Boulder, CO, USA (Vaira, L.; Malvasi, A.; Tinelli, A.)
Abstract	The modern cloud-based solutions are gaining the upper hand in the most common industrial areas. In the healthcare sector, cloud computing is starting to set foot on, and the major applications are about the possibility to collect and share medical data. One of the hot topics argued in the obstetrics and gynecologist community, is related to the fetal growth and, in particular, to the necessity to have updated standards, since the current references lack information like ethnicity and maternal biometric parameters (essential to evaluate the correct growing parameters). We believe that cloud computing could help the development of such a kind of dynamic and customized fetal growth curves, which in turn could improve the possible detection of anomalies and pathological states during the whole pregnancy period. The paper presents a proposal for resolving the problem of the fetal biometric data obsolescence and the inability to use them in a custom or adapted fashion giving the opportunity to manage clinical data which are dispensed “as a service” on a global scale. The objective of the study is to create and validate a database collecting several fetal growth curves (obtained by means of the available results beginning from 1963 until 2013).
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	4
File Size	664433
Page Count	4
File Format	PDF
ISBN	9781479931637
DOI	10.1109/BIBE.2013.6701543
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-10
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Cloud computing Pregnancy Pediatrics Standards Biomedical imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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