Details

Autor(en) / Beteiligte

• Gupta, Mousumi
• Konar, Debanjan
• Bhattacharyya, Siddhartha
• Biswas, Sambhunath

Titel

Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques

Ist Teil von

• Computer Vision and Machine Intelligence in Medical Image Analysis, 2019, Vol.992, p.113-125

Ort / Verlag

Singapore: Springer

Erscheinungsjahr

2019

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Islam, M M Faniqul is one of the fastest growing chronic life threatening diseases that Ferdousi, Rahatara already affected 422 million people worldwide according to the report of World Rahman, Sadikur Organization (WHO), in 2018. Due to the presence of a relatively Bushra, Humayra Yasmin asymptomatic phase, early detection of diabetes is always desired for a clinically meaningful outcome. Around 50% of all people suffering from diabetes are undiagnosed because of its long-term asymptomatic phase. The early diagnosis of diabetes is only possible by proper assessment of both common and less common sign symptoms, which could be found in different phases from disease initiation up to diagnosis. Data mining classification techniques have been well accepted by researchers for risk prediction model of the disease. To predict the likelihood of having diabetes requires a dataset, which contains the data of newly diabetic or would be diabetic patient. In this work, we have used such a dataset of 520 instances, which has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh. We have analyzed the dataset with Naive Bayes Algorithm, Logistic Regression Algorithm, and Random Forest Algorithm and after applying tenfold Cross- Validation and Percentage Split evaluation techniques, Random forest has been found having best accuracy on this dataset. Finally, a commonly accessible, user-friendly tool for the end user to check the risk of having diabetes from assessing the symptoms and useful tips to control over the risk factors has been proposed.