{"title":"遗传风险自动计算","authors":"D. Pathak, M. Perlin","doi":"10.1109/CAIA.1994.323678","DOIUrl":null,"url":null,"abstract":"Describes a system to automatically compute genetic risks. To compute genetic risk, genetic counselors consider a variety of data, including family history, disease characteristics and DNA information, within a Bayesian inference framework. However, to manually process all the information is an error-prone and tedious task. Our system provides an automation of this task. It accepts as input the case data and the specification of the risk assessment task. The output of the system is the risk value of interest. The design of the system is based on a blackboard architecture. We describe the knowledge sources making up the system and an illustrative example of the use of the system do compute genetic risks.<<ETX>>","PeriodicalId":297396,"journal":{"name":"Proceedings of the Tenth Conference on Artificial Intelligence for Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Automatic computation of genetic risk\",\"authors\":\"D. Pathak, M. Perlin\",\"doi\":\"10.1109/CAIA.1994.323678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Describes a system to automatically compute genetic risks. To compute genetic risk, genetic counselors consider a variety of data, including family history, disease characteristics and DNA information, within a Bayesian inference framework. However, to manually process all the information is an error-prone and tedious task. Our system provides an automation of this task. It accepts as input the case data and the specification of the risk assessment task. The output of the system is the risk value of interest. The design of the system is based on a blackboard architecture. We describe the knowledge sources making up the system and an illustrative example of the use of the system do compute genetic risks.<<ETX>>\",\"PeriodicalId\":297396,\"journal\":{\"name\":\"Proceedings of the Tenth Conference on Artificial Intelligence for Applications\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Tenth Conference on Artificial Intelligence for Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIA.1994.323678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Tenth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1994.323678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Describes a system to automatically compute genetic risks. To compute genetic risk, genetic counselors consider a variety of data, including family history, disease characteristics and DNA information, within a Bayesian inference framework. However, to manually process all the information is an error-prone and tedious task. Our system provides an automation of this task. It accepts as input the case data and the specification of the risk assessment task. The output of the system is the risk value of interest. The design of the system is based on a blackboard architecture. We describe the knowledge sources making up the system and an illustrative example of the use of the system do compute genetic risks.<>
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