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

doi:10.1016/j.dib.2018.10.018

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 journal › Article › peer-review

9 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 language	English
Pages (from-to)	700-708
Number of pages	9
Journal	Data in Brief
Volume	21
DOIs	https://doi.org/10.1016/j.dib.2018.10.018
Publication status	Published - 1 Dec 2018
Externally published	Yes

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.dib.2018.10.018

Cite this

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title = "Dataset on significant risk factors for Type 1 Diabetes: A Bangladeshi perspective",

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.",

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T1 - Dataset on significant risk factors for Type 1 Diabetes: A Bangladeshi perspective

AU - Asaduzzaman, Sayed

AU - Masud, Fuyad Al

AU - Bhuiyan, Touhid

AU - Ahmed, Kawsar

AU - Paul, Bikash Kumar

AU - Rahman, S. A.M.Matiur

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

KW - Analysis of data

KW - Bangladesh perspective

KW - Data of significant factors

KW - Dataset on Type-1 Diabetes

U2 - 10.1016/j.dib.2018.10.018

DO - 10.1016/j.dib.2018.10.018

M3 - Article

SN - 2352-3409

VL - 21

SP - 700

EP - 708

JO - Data in Brief

JF - Data in Brief

ER -

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

Abstract

Keywords

UN SDGs

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