Chih‐Ying Lee
Biographic Data
| ID | 7951781 |
|---|---|
| NAME | Chih‐Ying Lee |
| GIVEN NAMES | Chih‐Ying |
| FAMILY NAME | Lee |
| SIGNATURE | LEE C Y |
| AFFILIATIONS | National Taiwan University |
| ORCID | 0000-0002-8838-0516 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Deep Learning Algorithms with Lime and Similarity Distance Analysis on Covid-19 Chest X-ray Dataset
In the last few years, many types of research have been conducted on the most harmful pandemic, COVID-19. Machine learning approaches have been applied to investigate chest X-rays of COVID-19 patients in many respects. This study focuses on the deep learning algorithm from the standpoint of feature space and similarity analysis. Firstly, we utilized Local Interpretable Model-agnostic Explanations (LIME) to justify the necessity of the region of i…
Betel Quid Dependence Effects on Working Memory and Remote Memory in Chewers with Concurrent Use of Cigarette and Alcohol
Rationale: Betel quid (BQ) is regarded as a human carcinogen by the World Health Organization. Although there are many BQ chewers across Asian-Pacific areas, studies addressing the effects of BQ chewing on memory remain rare.Objective The current study asked whether BQ dependence level could affect working memory (WM) and remote memory for the chewers with concurrent use of cigarettes and alcohol, a common phenomenon in Taiwan.Methods The standar…
No prominent works on this page.
Betel Quid Dependence Effects on Working Memory and Remote Memory in Chewers with Concurrent Use of Cigarette and Alcohol
Rationale: Betel quid (BQ) is regarded as a human carcinogen by the World Health Organization. Although there are many BQ chewers across Asian-Pacific areas, studies addressing the effects of BQ chewing on memory remain rare.Objective The current study asked whether BQ dependence level could affect working memory (WM) and remote memory for the chewers with concurrent use of cigarettes and alcohol, a common phenomenon in Taiwan.Methods The standar…
Deep Learning Algorithms with Lime and Similarity Distance Analysis on Covid-19 Chest X-ray Dataset
In the last few years, many types of research have been conducted on the most harmful pandemic, COVID-19. Machine learning approaches have been applied to investigate chest X-rays of COVID-19 patients in many respects. This study focuses on the deep learning algorithm from the standpoint of feature space and similarity analysis. Firstly, we utilized Local Interpretable Model-agnostic Explanations (LIME) to justify the necessity of the region of i…
Medicine (2 works) · Alcohol Use Disorders Identification Test (1 work) · Algorithm (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence (1 work) · Audiology (1 work) · Betel (1 work) · Classifier (UML (1 work) · Cognition (1 work) · Communication (1 work)