{"title":"现象学模型的潜力与局限","authors":"A. Schaaf","doi":"10.1201/B21956-3","DOIUrl":null,"url":null,"abstract":"In this chapter we discuss general potentials and fundamental limits of prediction models for side effects in radiotherapy, in particular those models that result from data-driven analysis. The aim is to learn how and when we can trust these models and safely utilize them to optimize the treatment of patients.","PeriodicalId":157553,"journal":{"name":"Modelling Radiotherapy Side Effects","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potentials and Limits of Phenomenological Models\",\"authors\":\"A. Schaaf\",\"doi\":\"10.1201/B21956-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this chapter we discuss general potentials and fundamental limits of prediction models for side effects in radiotherapy, in particular those models that result from data-driven analysis. The aim is to learn how and when we can trust these models and safely utilize them to optimize the treatment of patients.\",\"PeriodicalId\":157553,\"journal\":{\"name\":\"Modelling Radiotherapy Side Effects\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Modelling Radiotherapy Side Effects\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/B21956-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Modelling Radiotherapy Side Effects","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/B21956-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this chapter we discuss general potentials and fundamental limits of prediction models for side effects in radiotherapy, in particular those models that result from data-driven analysis. The aim is to learn how and when we can trust these models and safely utilize them to optimize the treatment of patients.
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