论文标题
通过极限学习机器的早期糖尿病预测
Early Stage Diabetes Prediction via Extreme Learning Machine
论文作者
论文摘要
糖尿病是几十年来发现的慢性疾病之一。但是，在晚期诊断出几例病例。世界十一点的成年人口中的每一个患有糖尿病。尚未诊断出46％的糖尿病患者。糖尿病可能患有其他几种严重疾病，这些疾病可能导致患者死亡。由于医疗提供者和财务状况有限，发展中国家和农村地区的损失最大。本文提出了一种基于糖尿病预测的极端学习机器的新方法，该方法基于数据问卷，该调查表可以提早提醒用户寻求医疗援助并防止晚期诊断和严重疾病的发展。
Diabetes is one of the chronic diseases that has been discovered for decades. However, several cases are diagnosed in their late stages. Every one in eleven of the world's adult population has diabetes. Forty-six percent of people with diabetes have not been diagnosed. Diabetes can develop several other severe diseases that can lead to patient death. Developing and rural areas suffer the most due to the limited medical providers and financial situations. This paper proposed a novel approach based on an extreme learning machine for diabetes prediction based on a data questionnaire that can early alert the users to seek medical assistance and prevent late diagnoses and severe illness development.
