Dataset on significant risk factors for Type 1 Diabetes: A Bangladeshi perspective

Sayed Asaduzzaman, Fuyad Al Masud, Touhid Bhuiyan, Kawsar Ahmed, Bikash Kumar Paul, S. A.M.Matiur Rahman

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

In this article, dataset and detailed data analysis results of Type-1 Diabetes has been given. Now-a-days Type-1 Diabetes is an appalling disease in Bangladesh. Total 306 person data (Case group- 152 and Control Group- 154) has been collected from Dhaka based on a specific questioner. The questioner includes 22 factors which were extracted by research studies. The association and significance level of factors has been elicited by using Data mining and Statistical Approach and shown in the Tables of this article. Moreover, parametric probability along with decision tree has been formed to show the effectiveness of the data was provided. The data can be used for future work like risk prediction and specific functioning on Type-1 Diabetes.
Original languageEnglish
Pages (from-to)700-708
Number of pages9
JournalData in Brief
Volume21
DOIs
Publication statusPublished - 1 Dec 2018
Externally publishedYes

Keywords

  • Analysis of data
  • Bangladesh perspective
  • Data of significant factors
  • Dataset on Type-1 Diabetes

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