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Food Recommendation using Machine Learning for Chronic Kidney Disease Patients

机译：机器学习对慢性肾脏病患者的食品推荐

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Chronic Kidney Disease (CKD, also known as the Chronicrenal disease) is a communal problem to the public with an escalating in either technologically advanced or advancing countries. 10% of the populations internationally are diagnosed with the disease of chronic kidney disease (CKD), and many deaths each day because of poor access to proper treatment or absence of awareness. If necessary, precaution is not taken at the right time the treatment gets complicated and possibly reach the final stage. Thus, to provide a better dietary solution our paper proposes a model to basis of their potassium level in blood. Classification of the patients is implemented recommend food for patients suffering from kidney disease on the using WEKA and then further using query-based matching we recommended food for the identified levels based on the seriousness of the disease.
机译：慢性肾脏病（CKD，也称为慢性肾病）是公众的公共问题，在技术先进或先进的国家中，这种疾病在不断升级。国际上有10％的人口被诊断出患有慢性肾脏病（CKD），并且由于无法获得适当的治疗或缺乏意识，每天都有许多人死亡。如有必要，在正确的时间使治疗变得复杂并可能到达最后阶段，不能采取预防措施。因此，为了提供更好的饮食解决方案，我们提出了一种基于血液中钾水平的模型。实施患者分类是使用WEKA为患有肾脏疾病的患者推荐食物，然后进一步使用基于查询的匹配，根据疾病的严重性，我们建议将食物推荐用于确定的水平。

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