100元2小时不限次数电话号码,全国空降200元快餐联系方式,24小时微信快餐妹,全国同城约资源匹配系统

科学研究
学术报告
当前位置: 学院主页 > 科学研究 > 学术报告 > 正文

Concordance Matched Learning for Estimating Optimal Individualized Treatment Regimes with Multiple Treatments

发布时间：2020-12-07 作者： 浏览次数：
Speaker: 朱文圣 DateTime: 2020年12月9日（周三）下午19:30-20:30
Brief Introduction to Speaker:

朱文圣，东北师范大学教授、博士生导师。

 Place: 腾讯会议（会议号请联系左国新老师索?。?/td>
Abstract:Precision medicine has drawn tremendous attention recently to account for significant heterogeneity in the response of different patients to the same treatment. The estimation of the optimal individualized treatment regime (ITR) is of great concern to precision medicine, which is aim to recommend a treatment regime based on patient-specific characteristics by maximizing the expected clinical outcome. In recent statistical literatures, there is a large and growing body of different statistical methods to estimate optimal individualized treatment regimes. Most of the existing statistical methods are mainly focus on the estimation of optimal individualized decision rules for the two categories of treatment options and rely heavily on data from randomized controlled trials. In this talk, we propose a machine learning approach (CM-learning) to estimate optimal treatment regime from multicategorical treatment options.
主站蜘蛛池模板： 如东县| 临泉县| 兴隆县| 香港 | 望城县| 镇雄县| 通州市| 甘孜县| 吉首市| 涞水县| 青川县| 陵水| 罗源县| 黎平县| 和平区| 太湖县| 綦江县| 芒康县| 张家川| 常州市| 郯城县| 石阡县| 仲巴县| 日土县| 犍为县| 钟山县| 乐山市| 浠水县| 武隆县| 泰宁县| 浑源县| 广灵县| 宣武区| 武功县| 胶州市| 资溪县| 缙云县| 江源县| 玉田县| 昌都县| 成武县|