智慧醫療與應用實例
Intelligent Medicine and Hands-on Applications
| 節 | 週四 |
|---|---|
5 13:20–14:10 | 智慧醫療與應用實例 YR104 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
參見課表,學生不需具備程式設計經驗,課程當中會深入淺出介紹Matlab以及Python進行資料分析實作See the course syllabus. Students do not require to have programming experience, and we will use Python and Matlab as analytic tools throughout the entire course.
智慧醫療是什麼? 人工智慧如何融入臨床診斷與評估? 智慧醫療不再只是人工智慧的把戲,智慧醫療如何應用於臨床,我們將在這門課程帶領學生進入智慧醫療的應用領域。What is intelligent medicine? How is artificial intelligence applied to the diagnosis and evaluation in clinical medicine? Intelligent medicine is not just an application of artificial intelligence. We will show how intelligent medicine can be integrated into clinical workflow and illustrate students into the practical applications of intelligent medicine.
| 週次 | 主題 |
|---|---|
| 第 1 週 | Clinically driven artificial intelligence |
| 第 2 週 | An overview of machine learning methods |
| 第 3 週 | Regression and its applications |
| 第 4 週 | Prediction of brain age using structural and functional MRI data |
| 第 5 週 | Random forest decision model and its applications |
| 第 6 週 | Diagnosis of insomnia using sleep questionnaires |
| 第 7 週 | Natural language processing and its applications |
| 第 8 週 | Case presentation 1 |
| 第 9 週 | Clustering method and its applications |
| 第 10 週 | Phenotyping Alzheimer’s disease using EEG data |
| 第 11 週 | Convolution neural network and its applications |
| 第 12 週 | Pathology image analysis |
| 第 13 週 | Chest X-ray image analysis |
| 第 14 週 | Brain CT hemorrhage image analysis |
| 第 15 週 | Deep learning in time-series data |
| 第 16 週 | Simulation ward and final report |
| 第 17 週 | |
| 第 18 週 |
Eric Topol. Deep Medicine https://www.nature.com/npjdigitalmed/