Data analytics identify glycated haemoglobin co-markers for type 2 diabetes mellitus diagnosis
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- 作者：Herbert F. JelinekaAuthor Vitae ; Andrew Stranierib ; Author Vitae ; Andrew YatskobAuthor Vitae ; Sitalakshmi Venkatramanb ; cAuthor Vitae
- 关键词：Glycated haemoglobin ; Type 2 diabetes mellitus ; Data analytics
- 刊名：Computers in Biology and Medicine
- 出版年：2016
- 出版时间：1 August 2016
- 年：2016
- 卷：75
- 期：Complete
- 页码：90-97
- 全文大小：651 K
文摘
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We prepared data from a Diabetes and Cardiovascular Disease screening unit for mining.
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We used information gain mining to find that the cut-off threshold for HbA1c of 6.2% was the best threshold.
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We discovered co-markers that, along with HbA1c could e predict T2DM better than the HbA1c alone.
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We advanced a chart that can be used to readily depict HbA1c cut-offs and co-markers.