Tianhua Chen
Biographic Data
| ID | 7906018 |
|---|---|
| NAME | Tianhua Chen |
| GIVEN NAMES | Tianhua |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN T |
| AFFILIATIONS | University of Huddersfield |
| ORCID | 0000-0003-4495-1871 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence
Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder affecting a large percentage of the adult population. A series of ongoing efforts has led to the development of a hybrid AI algorithm (a combination of a machine learning model and a knowledge-based model) for assisting adult ADHD diagnosis, and its clinical trial currently operating in the largest National Health Service (NHS) for adults with ADHD in the UK. Most re…
The mental health of university students during the Covid-19 pandemic
Higher education students’ mental health has been a growing concern in recent years even before the COVID-19 pandemic. The stresses and restrictions associated with the pandemic have put university students at greater risk of developing mental health issues, which may significantly impair their academic success, social interactions and their future career and personal opportunities. This paper aimed to understand the mental health status of Unive…
A Predictive Analysis of Heart Rates Using Machine Learning Techniques
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to detect and manage the heart's function irregularities at a very early stage. The fast-growing use of advanced technology such as the Internet of Things (IoT), wearable monitoring systems and artificial in…
No prominent works on this page.
The mental health of university students during the Covid-19 pandemic
Higher education students’ mental health has been a growing concern in recent years even before the COVID-19 pandemic. The stresses and restrictions associated with the pandemic have put university students at greater risk of developing mental health issues, which may significantly impair their academic success, social interactions and their future career and personal opportunities. This paper aimed to understand the mental health status of Unive…
A Predictive Analysis of Heart Rates Using Machine Learning Techniques
Heart disease, caused by low heart rate, is one of the most significant causes of mortality in the world today. Therefore, it is critical to monitor heart health by identifying the deviation in the heart rate very early, which makes it easier to detect and manage the heart's function irregularities at a very early stage. The fast-growing use of advanced technology such as the Internet of Things (IoT), wearable monitoring systems and artificial in…
Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence
Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder affecting a large percentage of the adult population. A series of ongoing efforts has led to the development of a hybrid AI algorithm (a combination of a machine learning model and a knowledge-based model) for assisting adult ADHD diagnosis, and its clinical trial currently operating in the largest National Health Service (NHS) for adults with ADHD in the UK. Most re…
Artificial Intelligence (2 works) · Computer Science (2 works) · Machine learning (2 works) · Medicine (2 works) · Psychiatry (2 works) · Psychology (2 works) · Accelerometer (1 work) · Anxiety (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work)