Fuzzy based medicine recommendation system: an example of thyroid medicine

P. Kumari, Shilpa Sharma
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引用次数: 5

Abstract

Many expert system or decision support system or recommendation system is developed to assist medical experts for better result and immediate result. Everyday there is new advancement comes into play with the help of Machine learning algorithms (neural network, Bayesian network) and data mining (clustering, classification) algorithms for effective prediction of disease like cancer, heart disease, diabetes and many more. Now, researchers using machine learning with datamining to automate the medicine recommendation. So, the risk of prescribing incorrect medicine can be decreased as many deaths comes in news are due to wrong medication or patients can have some allergies which medical experts don't know The motive of this work is to draft an Expert system for diagnosis of Thyroid disease as well as to prescribe medicine for the same. The system has 7 inputs and and on basis of these, two outputs are drawn which is disease and medicine The output field refers to the presence of thyroid disease in the patient as well as medicine according to level of disease.
基于模糊的药物推荐系统:以甲状腺药物为例
许多专家系统或决策支持系统或推荐系统被开发出来,以帮助医学专家获得更好的结果和即时的结果。在机器学习算法(神经网络、贝叶斯网络)和数据挖掘(聚类、分类)算法的帮助下,每天都有新的进展,可以有效地预测癌症、心脏病、糖尿病等疾病。现在,研究人员使用机器学习和数据挖掘来自动推荐药物。因此,由于许多死亡新闻都是由于错误的药物或患者可能有一些医学专家不知道的过敏,因此,处方错误药物的风险可以降低。这项工作的动机是起草一个诊断甲状腺疾病的专家系统,并为甲状腺疾病开药。系统有7个输入,并在此基础上绘制出疾病和药物两个输出,输出字段是指患者是否存在甲状腺疾病以及根据疾病程度进行的药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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