Rule Learning in Healthcare and Health Services Research
Rukmina Gonibala1, Hadiyat Miko2, Hans Lesmana3, Lucia Yauri4, Ellis Mirawati5
1Rukmina Gonibala, Institute Agama Islam Negeri (IAIN) Manado, Indonesia.
2Hadiyat Miko, Poltekkes Kemenkes Tasikmalaya, Indonesia.
3Hans Lesmana, Poltekkes Kemenkes Makassar, Indonesia.
4Lucia Yauri, Poltekkes Kemenkes Makassar, Indonesia.
5Ellis Mirawati, Poltekkes Kemenkes Makassar, Indonesia.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 1125-1129 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12950886S219/19©BEIESP | DOI: 10.35940/ijeat.F1295.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: In the field of healthcare successful application of machine learning need efficiency, accuracy, ability to deal with background knowledge, acceptability, transparency, exportability and ability to deal with complex data. The learning that completes the above criteria is known as rule learning. Clinical record is the most basic sort of wellbeing research. For testing the security and viability the patients volunteer take an interest in new therapeutic advancement. Presently wellbeing search depends on data. The exploration depends on organic examples and information investigation. This information is put away for treatment, charging purposes or symptomatic, and that can be the piece of other research. The second utilization of information is essential research approach in fields like general wellbeing research, wellbeing administrations examine, the study of disease transmission, examination of examples of events, assessment of medicinal services, sedate security reconnaissance, determinants, normal history of illness, and some social and hereditary investigation. The paper takes a review of rule learning in healthcare, importance of healthcare system, and also discuss about health service research.
Keywords: Rule Learning, Health Services Research, Machine Learning, Healthcare System.
Scope of the Article: Healthcare Informatics