Computational Intelligence-Based Diagnosis Tool for the Detection of Prediabetes and Type 2 Diabetes in India | Zendy

N.A. Shankaracharya | Zendy; Devang Odedra | Zendy; Subir Samanta | Zendy; Ambarish S. Vidyarthi | Zendy

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Computational Intelligence-Based Diagnosis Tool for the Detection of Prediabetes and Type 2 Diabetes in India

Author(s) -

N.A. Shankaracharya,

Devang Odedra,

Subir Samanta,

Ambarish S. Vidyarthi

Publication year - 2012

Publication title -

the review of diabetic studies

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.701

H-Index - 41

eISSN - 1614-0575

pISSN - 1613-6071

DOI - 10.1900/rds.2012.9.55

Subject(s) - prediabetes , type 2 diabetes , diabetes mellitus , medicine , computer science , artificial intelligence , endocrinology

The incidence of diabetes is increasing rapidly across the globe. India has the highest proportion of diabetic patients, earning it the doubtful distinction of the 'diabetes capital of the world'. Early detection of diabetes could help to prevent or postpone its onset by taking appropriate preventive measures, including the initiation of lifestyle changes. To date, early identification of prediabetes or type 2 diabetes has proven problematic, such that there is an urgent requirement for tools enabling easy, quick, and accurate diagnosis.

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