期刊
MULTIMEDIA TOOLS AND APPLICATIONS
卷 79, 期 13-14, 页码 8431-8444出版社
SPRINGER
DOI: 10.1007/s11042-018-6648-3
关键词
Diabetes mellitus; Statistical assessments; Non - transmittable ailments; Hadoop and map reduction; Non-insulin-dependent diabetes mellitus (NIDDM)
Health services research provides a multi-disciplinary area of scientific exploration in relation to financial systems, social factors, organizational processes, and health technologies. With the help of big data, the huge amount of data can well be stored and handled effectively for diagnosis and also proper treatment of diseases can be monitored with these emerging technologies. In recent years, Diabetes Mellitus is non-transmittable illnesses that are a matter of concern in most of the developing countries. This paper proposes a model of a statistical assessment, healthcare information system for Diabetes Analysis employing big data. The performance metric such as accuracy and F-measure for the proposed statistical assessment model is evaluated by Hadoop framework, the results are comparatively higher than existing methods.
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