| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 1 | 09:30-09:45 | 大会报告 |
医改进程中康复医学的发展与思考 |
梁万年 | 清华大学万科公共卫生与健康学院 |
| Plenary Lecture |
Development and thinking of rehabilitation medicine in the process of medical reform |
Wannian Liang | Tsinghua University Vanke School of Public Health | ||
| 2 | 09:45-10:00 | 大会报告 |
大数据与康复医学:研究进展与未来展望 |
刘 民 | 北京大学公共卫生学院 |
| Plenary Lecture |
Big data and rehabilitation medicine: research progress and future prospects |
Min Liu | Peking University School of Public Health | ||
| 3 | 10:00-10:15 | 大会报告 |
大语言模型及其在大健康领域的研究及应用 |
刘 珏 | 北京大学 |
| Plenary Lecture |
Large Language Models and their research and application in the field of big health |
Jue Liu | Peking University | ||
| 4 | 10:15-10:30 | 大会报告 |
临床预测模型建立与验证 |
陶立元 | 北京大学第三医院 |
| Plenary Lecture |
Establishment and validation of clinical prediction model |
Liyuan Tao | Peking University Third Hospital | ||
| 5 | 10:30-10:45 | 大会报告 |
大数据在临床研究中的应用 |
闫温馨 | 清华大学万科公共卫生与健康学院 |
| Plenary Lecture |
Application of big data in clinical research |
Wenxin Yan | Tsinghua University Vanke School of Public Health | ||
| 6 | 10:45-11:00 | 大会报告 |
大数据驱动的传染病防控 |
曹桂莹 | 北京大学 |
| Plenary Lecture |
Big data-driven infectious disease prevention and control |
Guiying Cao | Peking University | ||
| 7 | 11:00-11:15 | 大会报告 |
临床数据的获取及应用 |
周礼妍 | 北京大学 |
| Plenary Lecture |
Acquisition and application of clinical data |
Liyan Zhou | Peking University | ||
| 8 | 11:15-11:30 | 大会报告 |
医学研究中常见的样本量估算方法 |
李美晨 | 北京大学首钢医院 |
| Plenary Lecture |
Sample size calculation and case analysis in clinical medical research |
Meichen Li | Peking University Shougang Hospital | ||
| 9 | 11:30-11:45 | 大会报告 |
临床科研数据统计方法及软件应用 |
康良钰 | 清华大学 |
| Plenary Lecture |
Statistical methods and software applications of clinical scientific research data |
Liangyu Kang | Tsinghua University Vanke School of Public Health | ||
| 10 | 11:45-12:00 | 大会报告 |
康复医学高质量文章数据分析与可视化 |
陈唯扬 | 北京大学公共卫生学院 |
| Plenary Lecture |
Data analysis and visualization of high-quality articles in rehabilitation medicine |
Weiyang Chen | School of Public Health, Peking University |