Arthur Chang
Biographic Data
| ID | 7704326 |
|---|---|
| NAME | Arthur Chang |
| GIVEN NAMES | Arthur |
| FAMILY NAME | Chang |
| SIGNATURE | CHANG A |
| AFFILIATIONS | National Yunlin University of Science and Technology |
| ORCID | 0000-0002-6193-0346 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
VCNet
Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for radiologists. But, it is time-consuming in nature. Despite numerous breakthroughs in studies on the application of deep learning models for the identification of lung cancer, researchers and doctors still face challenges when trying to deploy the model in clinical settings to achieve improved accuracy and sensitivity on huge datasets. In most situat…
A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling Covid-19
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and deal with this epidemic. Strategies backed by artificial intelligence (A.I.) and the Internet of Things (IoT) have been undeniably effective to understand how the virus works and prevent it from spreadin…
Identifying Incidents of Public Health Significance Using the National Poison Data System, 2013–2018
Data System. The American Association of Poison Control Centers (AAPCC) and the Centers for Disease Control and Prevention (CDC) jointly monitor the National Poison Data System (NPDS) for incidents of public health significance (IPHSs). Data Collection/Processing. NPDS is the data repository for US poison centers, which together cover all 50 states, the District of Columbia, and multiple territories. Information from calls to poison centers is up…
Health
Hurricane Katrina made landfall on the U.S. Gulf Coast on August 29, 2005, resulting in massive destruction from wind damage and storm surge. In Mississippi, the storm surge was an estimated 27 feet high at the Hancock County Emergency Operations Center and extended inland for 6-12 miles, causing extensive flooding in Biloxi and Gulfport and rendering approximately 80% of buildings in Waveland uninhabitable (1). The devastation was greatest in th…
Identifying Incidents of Public Health Significance Using the National Poison Data System, 2013–2018
Data System. The American Association of Poison Control Centers (AAPCC) and the Centers for Disease Control and Prevention (CDC) jointly monitor the National Poison Data System (NPDS) for incidents of public health significance (IPHSs). Data Collection/Processing. NPDS is the data repository for US poison centers, which together cover all 50 states, the District of Columbia, and multiple territories. Information from calls to poison centers is up…
Health
Hurricane Katrina made landfall on the U.S. Gulf Coast on August 29, 2005, resulting in massive destruction from wind damage and storm surge. In Mississippi, the storm surge was an estimated 27 feet high at the Hancock County Emergency Operations Center and extended inland for 6-12 miles, causing extensive flooding in Biloxi and Gulfport and rendering approximately 80% of buildings in Waveland uninhabitable (1). The devastation was greatest in th…
Identifying Incidents of Public Health Significance Using the National Poison Data System, 2013–2018
Data System. The American Association of Poison Control Centers (AAPCC) and the Centers for Disease Control and Prevention (CDC) jointly monitor the National Poison Data System (NPDS) for incidents of public health significance (IPHSs). Data Collection/Processing. NPDS is the data repository for US poison centers, which together cover all 50 states, the District of Columbia, and multiple territories. Information from calls to poison centers is up…
VCNet
Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for radiologists. But, it is time-consuming in nature. Despite numerous breakthroughs in studies on the application of deep learning models for the identification of lung cancer, researchers and doctors still face challenges when trying to deploy the model in clinical settings to achieve improved accuracy and sensitivity on huge datasets. In most situat…
A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling Covid-19
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and deal with this epidemic. Strategies backed by artificial intelligence (A.I.) and the Internet of Things (IoT) have been undeniably effective to understand how the virus works and prevent it from spreadin…
Computer Science (3 works) · Artificial Intelligence (2 works) · Convolutional neural network (2 works) · COVID-19 diagnosis using AI (2 works) · Medicine (2 works) · Anomaly Detection Techniques and Applications (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Bacillus and Francisella bacterial research (1 work) · Business (1 work) · Cluster analysis (1 work)