@article{2617,
  author = {Young-duk Koo, Dae-hyun Jeong},
  title = {Health Big Data Analysis: A Case Study in a Chinese Province},
  journal = {Journal of Information Technology Review},
  year = {2018},
  volume = {9},
  number = {4},
  doi = {},
  url = {http://www.dline.info/jitr/fulltext/v9n4/jitrv9n4_1.pdf},
  abstract = {Big data research offers much promise in the last few years as many studies focus on analysing large quantities
of varied data using new techniques. Health institutions and hospitals collect, store and preserve different types of real
medical data. We in this work extracted such voluminous data from the big data set maintained by the National Health
Insurance organization and we limit our work to a selected sub-domain, dementia. While analysing this big medical data we
draw the below premises. Large number of dementia patients are elderly ones. The depression leads to affect patients and
aggravate the disease. The big data analysis provide insights and help to manage the patients in the affected disease.
Consequently it leads to the reduction of the problem and other kinds of data provide statistical results.},
}