Prognosis of Hyper Triglycerides Using Data Science and Machine Learning

None S. Alagu Thangam, None S. Vilma Veronica, None G. Suresh, None S. Hemalatha
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Abstract

Triglycerides are a type of fat. They are the most common type of fat in our body. They emanate from foods, especially butter, oils, and other fats we eat and also come from extra calories. These are the calories that we eat, but our body does not need right away. Our body naturalizes these extra calories into triglycerides and stores them in fat cells. When our body needs energy, it disseminates the triglycerides. Our VLDL cholesterol particles carry the triglycerides to our tissues. Hyper triglycerides can increase the risk of heart diseases in particular, CAD, stroke, liver, kidney and other chronic diseases. In recent years Data science is one of the progressing demense due to the profusion of data sources and resulting data. The realm of healthcare is substantially ameliorated from Data science and Machine Learning applications because of these intuitive solutions. Using Data science techniques and Machine learning algorithms with ANN, we can prognoses the disease. The WHF dossier says that every year nearly 4.4 million death occurs due to heart diseases and WHO says that nearly 2.6 million deaths occur due to cholesterol.
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使用数据科学和机器学习预测高甘油三酯
甘油三酯是一种脂肪。它们是我们体内最常见的脂肪。它们来自食物,尤其是黄油、油和我们吃的其他脂肪,也来自额外的卡路里。这些是我们摄入的卡路里,但我们的身体并不需要立即摄入。我们的身体将这些额外的卡路里自然转化为甘油三酯,并将它们储存在脂肪细胞中。当我们的身体需要能量时,它会散播甘油三酯。我们的VLDL胆固醇颗粒将甘油三酯运送到我们的组织。高甘油三酯会增加患心脏病特别是冠心病、中风、肝、肾等慢性疾病的风险。近年来,由于数据来源和结果数据的丰富,数据科学是一个不断发展的领域。由于这些直观的解决方案,医疗保健领域从数据科学和机器学习应用程序中得到了极大的改善。利用数据科学技术和人工神经网络的机器学习算法,我们可以预测疾病。世界卫生基金会的档案说,每年有近440万人死于心脏病,世界卫生组织说,有近260万人死于胆固醇。
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