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Big Sensor Data Platform for following-up Pregnant women

EasyChair Preprint no. 1842

2 pagesDate: November 6, 2019

Abstract

In the last decades, technology has seen a growth in the use of big data, which helps to the decision, to find the needs of people, to know their desires, and certainly it is beneficial to the evolution of our life. On the other hand, medicine and people’s lives are a very sensitive area, and in some cases the doctors have to follow their patients periodically such as chronic diseases, pregnant women, etc. This paper presented a big data platform for medical domain especially for the cases that require Remote Patient Monitoring in real time, which helps the doctors to follow-up their patients remotely via a smart systems thanks to new technologies using big data and its advantages.

Keyphrases: Big Data, Hadoop, HDFS, Healthcare, Sensors data

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:1842,
  author = {Hicham El Alaoui El Hanafi},
  title = {Big Sensor Data Platform for following-up Pregnant women},
  howpublished = {EasyChair Preprint no. 1842},

  year = {EasyChair, 2019}}
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