Chih-Wei Hsu
Biographic Data
| ID | 10017552 |
|---|---|
| NAME | Chih-Wei Hsu |
| GIVEN NAMES | Chih-Wei |
| FAMILY NAME | Hsu |
| SIGNATURE | HSU C |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Suicide risk on Christmas Eve, Christmas Day, New Year's Day, and Valentine's Day
Climate and air pollution impacts of generating biopower from forest management residues in California
California faces crisis conditions on its forested landscapes. A century of aggressive logging and fire suppression in combination with conditions exacerbated by climate change have created an ongoing ecological, economic, and public health emergency. Between commercial harvests on California’s working forestlands and the increasing number of acres the state treats each year for fire risk reduction and carbon sequestration, California forests gen…
Predicting new-onset post-stroke depression from real-world data using machine learning algorithm
Machine learning models can provide as potential predictive tools for PSD and important factors are identified to alert clinicians for early detection of depression in high-risk stroke patients
Blood-Bourne MicroRNA Biomarker Evaluation in Attention-Deficit/Hyperactivity Disorder of Han Chinese Individuals
Background: Attention-deficit/hyperactivity disorder (ADHD) is a highly genetic neurodevelopmental disorder, and its dysregulation of gene expression involves microRNAs (miRNAs). The purpose of this study was to identify potential miRNAs biomarkers and then use these biomarkers to establish a diagnostic panel for ADHD. Design and methods: RNA samples from white blood cells (WBCs) of five ADHD patients and five healthy controls were combined to cr…
No prominent works on this page.
Blood-Bourne MicroRNA Biomarker Evaluation in Attention-Deficit/Hyperactivity Disorder of Han Chinese Individuals
Background: Attention-deficit/hyperactivity disorder (ADHD) is a highly genetic neurodevelopmental disorder, and its dysregulation of gene expression involves microRNAs (miRNAs). The purpose of this study was to identify potential miRNAs biomarkers and then use these biomarkers to establish a diagnostic panel for ADHD. Design and methods: RNA samples from white blood cells (WBCs) of five ADHD patients and five healthy controls were combined to cr…
Climate and air pollution impacts of generating biopower from forest management residues in California
California faces crisis conditions on its forested landscapes. A century of aggressive logging and fire suppression in combination with conditions exacerbated by climate change have created an ongoing ecological, economic, and public health emergency. Between commercial harvests on California’s working forestlands and the increasing number of acres the state treats each year for fire risk reduction and carbon sequestration, California forests gen…
Predicting new-onset post-stroke depression from real-world data using machine learning algorithm
Machine learning models can provide as potential predictive tools for PSD and important factors are identified to alert clinicians for early detection of depression in high-risk stroke patients
Suicide risk on Christmas Eve, Christmas Day, New Year's Day, and Valentine's Day
Internal Medicine (2 works) · Medicine (2 works) · Acute Ischemic Stroke Management (1 work) · Agroforestry (1 work) · Anxiety (1 work) · Area under the curve (1 work) · Attention Deficit Hyperactivity Disorder (1 work) · Bioinformatics (1 work) · Biology (1 work) · Biomarker (1 work)