Meihao Guo
Biographic Data
| ID | 7859258 |
|---|---|
| NAME | Meihao Guo |
| GIVEN NAMES | Meihao |
| FAMILY NAME | Guo |
| SIGNATURE | GUO M |
| AFFILIATIONS | Xinxiang Medical University |
| ORCID | 0000-0003-4311-5206 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia
Machine learning models can fairly predict aggressive behaviors in hospitalized patients with schizophrenia, among which Random Forest has the best predictive effect and has some value in clinical application
Prevalence and Risk Factors of Metabolic Associated Fatty Liver Disease in Xinxiang, China
Metabolic associated fatty liver disease (MAFLD) is recognized as the liver disease component of metabolic syndrome, which is mainly related to insulin resistance and genetic susceptibility. It is the most prevalent chronic liver disease worldwide. With rapid lifestyle transitions, its prevalence worldwide is increasing, and tremendous challenges in controlling this pandemic are arising. The objective of this study was to investigate the prevalen…
No prominent works on this page.
Prevalence and Risk Factors of Metabolic Associated Fatty Liver Disease in Xinxiang, China
Metabolic associated fatty liver disease (MAFLD) is recognized as the liver disease component of metabolic syndrome, which is mainly related to insulin resistance and genetic susceptibility. It is the most prevalent chronic liver disease worldwide. With rapid lifestyle transitions, its prevalence worldwide is increasing, and tremendous challenges in controlling this pandemic are arising. The objective of this study was to investigate the prevalen…
Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia
Machine learning models can fairly predict aggressive behaviors in hospitalized patients with schizophrenia, among which Random Forest has the best predictive effect and has some value in clinical application
Medicine (2 works) · China (1 works) · Clinical Psychology (1 works) · Clinical Psychology (1 works) · Diet, Metabolism, and Disease (1 works) · Disease (1 works) · Environmental health (1 works) · Fatty liver (1 works) · Geography (1 works) · Internal Medicine (1 works)