Weihua Guo
Biographic Data
| ID | 7415855 |
|---|---|
| NAME | Weihua Guo |
| GIVEN NAMES | Weihua |
| FAMILY NAME | Guo |
| SIGNATURE | GUO W |
| AFFILIATIONS | Liaoning Normal University |
| ORCID | 0000-0002-5839-7114 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Identifying risk factors for depression and positive/negative mood changes in college students using machine learning
Background: In this study, machine learning was used to assess the prediction of the magnitude of depression changes in college students based on various psychological variable information. Methods: A group of college students from a certain school completed two assessments in October 2021 and March 2022, respectively. We collected baseline levels of depression, demographic variables, parenting styles, college students' mental health information,…
Effects of long‐term coal gangue dumping on soil chemical environment and microbial community in an abandoned mine
Coal gangue hill, a significant anthropogenic interference, can cause various forms of land degradation. The promoting effect of coal gangue on soil qualities has also been discovered. However, few studies investigated the soil properties and microbiome of prolonged gangue hills. Here, we investigated soil microbial communities and chemical properties in a vegetated gangue hill and adjacent cropland and wasteland (regarded as gangue‐free lands). …
Use of machine learning for simplification of University Personality Inventory (UPI)
Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This study aimed to develop a machine learning model for predicting the simplified UPI items that can rapidly and effectively screen for mental health issues. To construct the dataset, we administered the UPI to 5155 coll…
Mapping Iwqol-Lite onto EQ-5D-5L and SF-6Dv2 among overweight and obese population in China
No prominent works on this page.
Effects of long‐term coal gangue dumping on soil chemical environment and microbial community in an abandoned mine
Coal gangue hill, a significant anthropogenic interference, can cause various forms of land degradation. The promoting effect of coal gangue on soil qualities has also been discovered. However, few studies investigated the soil properties and microbiome of prolonged gangue hills. Here, we investigated soil microbial communities and chemical properties in a vegetated gangue hill and adjacent cropland and wasteland (regarded as gangue‐free lands). …
Use of machine learning for simplification of University Personality Inventory (UPI)
Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This study aimed to develop a machine learning model for predicting the simplified UPI items that can rapidly and effectively screen for mental health issues. To construct the dataset, we administered the UPI to 5155 coll…
Mapping Iwqol-Lite onto EQ-5D-5L and SF-6Dv2 among overweight and obese population in China
Identifying risk factors for depression and positive/negative mood changes in college students using machine learning
Background: In this study, machine learning was used to assess the prediction of the magnitude of depression changes in college students based on various psychological variable information. Methods: A group of college students from a certain school completed two assessments in October 2021 and March 2022, respectively. We collected baseline levels of depression, demographic variables, parenting styles, college students' mental health information,…
Digital Mental Health Interventions (2 works) · Medicine (2 works) · Mental Health via Writing (2 works) · Psychology (2 works) · Acidobacteria (1 works) · Applied Psychology (1 works) · Bacteria (1 works) · Body mass index (1 works) · Chemistry (1 works) · Clinical Psychology (1 works)