can i use any predictive or machine learning approach to improve quality of health care. or can i use it for disease prediction.
Hi Jainul,
Briefly, data mining provides several advantages in this field, such as detection of the fraud in health insurance. It also helps in detecting reasons of diseases and then recognizing medical treatment methods.
HTH.
Samer
You're welcome, Jainul.
I'm applying different data mining and machine learning techniques for processing different Neurological signals and Physiological measures. Please check this link
https://www.researchgate.net/profile/Samer_Sarsam
in order to have an idea about my available publications.
Kind regards,
Samer
Most common application of big data techniques in health care is DNA or sequence matching. There are lot of tools based on Hadoop or spark which are used in sequence alignment. CloudBurst , CloudAligner and SparkBWA are most commonly used tools.
there are several health related datasets available publicly, you can look at them and try applying machine learning/modeling. they will serve as an excellent starting point
http://archive.ics.uci.edu/ml/
You may use Apache Mahout or Spark MLib on the top of HDFS.
You may download dataset from http://www.datasciencecentral.com/profiles/blogs/10-great-healthcare-data-sets
As you have mentioned, you want to deal with Big Data, it is better to use large data-set, and efficient mining algorithm which will improve prediction.
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