图 书 馆
制定患者群体分层方法和定制医疗干预措施Development of methods for patient group stratification and tailored medical interventions |
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| 课程网址: | http://videolectures.net/ESHGsymposium2016_urda_munoz_medical_int... |
| 主讲教师: | Daniel Urda Muñoz |
| 开课单位: | 马拉加大学 |
| 开课时间: | 2016-07-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Accurate and timely prediction of disease-related traits and identification of the strongest predictors of disease risks are critical for patients, health service providers, and healthcare industries. Early risk prediction can enable prevention and early therapeutic interventions, thus reducing costs of care and improving prognosis, whereas identification of robust predictors of risk or response can lead to novel targets, reduce costs of clinical trials, and improve efficacy of drugs tailored to individual patients. Huge investments are being made to address these goals. In this project, we aim to improve predictions of complex outcomes using combinations of -omics and clinical/environmental data available from free-public repositories and from proprietary studies conducted by our research partners. This project will focus on the following development objectives: Establishing familiarity with common and cutting-edge methods developed for high-dimensional predictions. Developing and applying predictive methods using -omics data in order to outperform traditional clinical models. The specific focus will be on trying to find structure in the data to allow for automatic stratification of patients (or subtyping of diseases) in order to improve predictions. Incorporating existing medical and/or biological knowledge into predictive models to improve quality of predictions. Developing an approach using information about multiple related traits to improve prediction of the target trait. To achieve this, we will develop an approach for automatic identification of traits related to the target disease using findings summarized in online databases. Extending the developed methods for dealing with imbalanced datasets and/or rare features. (Note that population-level studies tend to have a disproportionally low number of “cases”, which will need to be taken into account). |
| 关 键 词: | 预防和早期治疗干预; 疾病风险; 医疗服务 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-12-26：zkj |
| 最后编审: | 2021-12-26：zkj |
| 阅读次数: | 46 |