{"title":"通过识别危险因素管理帕金森病的专家系统:TD-Rules-PD","authors":"Arpita Nath Boruah, Saroj Kumar Biswas, Sivaji Bandyopadhyay, Sunita Sarkar","doi":"10.1109/ComPE49325.2020.9200075","DOIUrl":null,"url":null,"abstract":"Advent of modern means of living and busy schedule, a person generally forget to look after the health and thereby prone to some of severe health disorders. From various researches it is clear that Parkinson Disease (PD) basically occur due to negligence of an individual. It is a disorderliness that affects a small part of the brain that manages the gesture and mental order. The syndrome vary from person. Generally PD is identified from a certain age level but recent studies shown that people of any age group can suffer from PD. Considering the extremity, if there is an system to identify the major factors of PD then it would be of great importance. Thus an expert system named Transparent Decision Rules for Parkinson Disease (TD-Rules-PD) is proposed in this paper which finds out the high risk factor of PD. TD-Rules-PD consist of four phases: Rule Production, Rule selection, Rule pruning and Merging and Identify High Risk Factor. Rule Production stage uses Decision tree to produce rules. Rule selection step choose the most efficient rules, from the so collected rules Rule Pruning and Merging step drops the confusing and insignificant rules and then combines the flittered rule set to a single rule and finally Identify High Risk Factor stage finds out the most prevailing factor of PD.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"41 1 1","pages":"001-006"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Expert System to Manage Parkinson Disease by Identifying Risk Factors: TD-Rules-PD\",\"authors\":\"Arpita Nath Boruah, Saroj Kumar Biswas, Sivaji Bandyopadhyay, Sunita Sarkar\",\"doi\":\"10.1109/ComPE49325.2020.9200075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Advent of modern means of living and busy schedule, a person generally forget to look after the health and thereby prone to some of severe health disorders. From various researches it is clear that Parkinson Disease (PD) basically occur due to negligence of an individual. It is a disorderliness that affects a small part of the brain that manages the gesture and mental order. The syndrome vary from person. Generally PD is identified from a certain age level but recent studies shown that people of any age group can suffer from PD. Considering the extremity, if there is an system to identify the major factors of PD then it would be of great importance. Thus an expert system named Transparent Decision Rules for Parkinson Disease (TD-Rules-PD) is proposed in this paper which finds out the high risk factor of PD. TD-Rules-PD consist of four phases: Rule Production, Rule selection, Rule pruning and Merging and Identify High Risk Factor. Rule Production stage uses Decision tree to produce rules. Rule selection step choose the most efficient rules, from the so collected rules Rule Pruning and Merging step drops the confusing and insignificant rules and then combines the flittered rule set to a single rule and finally Identify High Risk Factor stage finds out the most prevailing factor of PD.\",\"PeriodicalId\":6804,\"journal\":{\"name\":\"2020 International Conference on Computational Performance Evaluation (ComPE)\",\"volume\":\"41 1 1\",\"pages\":\"001-006\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computational Performance Evaluation (ComPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComPE49325.2020.9200075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE49325.2020.9200075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
现代生活方式的到来和繁忙的日程安排,使一个人普遍忘记照顾好自己的健康,从而容易出现一些严重的健康失调。从各种研究来看,帕金森病(PD)基本上是由于个体的疏忽而发生的。这是一种紊乱,影响了大脑中管理手势和精神秩序的一小部分。这种症状因人而异。一般来说,帕金森病是在特定年龄阶段确诊的,但最近的研究表明,任何年龄组的人都可能患有帕金森病。考虑到肢体,如果有一个系统来识别帕金森病的主要因素,那将是非常重要的。为此,本文提出了一个帕金森病透明决策规则(Transparent Decision Rules for Parkinson, TD-Rules-PD)专家系统,用于发现帕金森病的高危因素。TD-Rules-PD包括规则生成、规则选择、规则裁剪与合并和高风险因素识别四个阶段。规则生成阶段使用决策树生成规则。规则选择步骤选择最有效的规则,规则修剪和合并步骤从收集到的规则中剔除混乱和不重要的规则,然后将过滤后的规则集合并为单个规则,最后识别高风险因素阶段找出PD的最主要因素。
Expert System to Manage Parkinson Disease by Identifying Risk Factors: TD-Rules-PD
Advent of modern means of living and busy schedule, a person generally forget to look after the health and thereby prone to some of severe health disorders. From various researches it is clear that Parkinson Disease (PD) basically occur due to negligence of an individual. It is a disorderliness that affects a small part of the brain that manages the gesture and mental order. The syndrome vary from person. Generally PD is identified from a certain age level but recent studies shown that people of any age group can suffer from PD. Considering the extremity, if there is an system to identify the major factors of PD then it would be of great importance. Thus an expert system named Transparent Decision Rules for Parkinson Disease (TD-Rules-PD) is proposed in this paper which finds out the high risk factor of PD. TD-Rules-PD consist of four phases: Rule Production, Rule selection, Rule pruning and Merging and Identify High Risk Factor. Rule Production stage uses Decision tree to produce rules. Rule selection step choose the most efficient rules, from the so collected rules Rule Pruning and Merging step drops the confusing and insignificant rules and then combines the flittered rule set to a single rule and finally Identify High Risk Factor stage finds out the most prevailing factor of PD.