Machine learning for healthcare diagnostics

Tata Sutabri, R. Pandi Selvam, K. Shankar, Phong Thanh Nguyen, Wahidah Hashim, Andino Maseleno

Research output: Contribution to journalArticle

Abstract

Presently machine learning and artificial intelligence is playing one of the most important role in diagnose many genetic and non genetic disease. So that the rapid inventions in machine learning can save thousands of life’s as it can diagnose the early stage of many serious diseases. In this research the datasets for such diseases is studied and it will be analyzed that how such deep machine learning will impact to a human life. The problem with such methodology is that it is not possible to get accurate results in the initial stage of research. The reason is every human have different immunity power and stamina. There are many diagnostics center who are fully dependent on the equipments which are fully based on machine learning. In order to boost this process it is necessary to collect the real time patient’s data from different hospitals, states and countries. So that it will be beneficial for world wide.

Original languageEnglish
Pages (from-to)999-1001
Number of pages3
JournalInternational Journal of Engineering and Advanced Technology
Volume8
Issue number6 Special Issue 2
DOIs
Publication statusPublished - Aug 2019

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All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Engineering(all)
  • Computer Science Applications

Cite this

Sutabri, T., Pandi Selvam, R., Shankar, K., Nguyen, P. T., Hashim, W., & Maseleno, A. (2019). Machine learning for healthcare diagnostics. International Journal of Engineering and Advanced Technology, 8(6 Special Issue 2), 999-1001. https://doi.org/10.35940/ijeat.F1304.0886S219