Tingting Hao
Biographic Data
| ID | 6933464 |
|---|---|
| NAME | Tingting Hao |
| GIVEN NAMES | Tingting |
| FAMILY NAME | Hao |
| SIGNATURE | HAO T |
| AFFILIATIONS | Kunming Children's Hospital |
| ORCID | 0000-0001-6176-6665 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Study on Right-Turning Vehicles’ Yielding Behavior for Crossing E-Bikes at Signalized Intersections
This study aimed to explore the factors influencing right-turning vehicles’ yielding behavior for crossing e-bikes at signalized intersections to improve safety for crossing e-bikes. Videos of different intersections were obtained through manual video recording and drone aerial photography. Spatiotemporal information data for right-turning vehicles and straight-through e-bikes were extracted through Tracker 6.0 software. Right-turning vehicle yie…
Predictive model for neonatal HBV infection risk in infants of HBV-infected mothers in China
Objective: In China, vertical transmission is the primary route of hepatitis B virus (HBV) transmission from mothers to their children. This study aimed to develop a predictive model for assessing the risk of HBV infection in newborns born to mothers with HBV infection. Additionally, the model was validated across subgroups based on child stage, gender, and race to facilitate the early identification of high-risk newborns and the development of p…
Building a diagnostic prediction model for severe Mycoplasma pneumoniae pneumonia in children using machine learning
Objective: pneumonia (MPP) has shown a global pandemic trend. The increasing incidence of severe MPP (SMPP) leads to complications and even deaths, severely impacting prognosis and quality of life. Our study aimed to use machine learning to construct an early diagnostic model for severe MPP in children. It supports early prediction, prevention, and individualized precise treatment of SMPP. Methods: We collected medical records from 372 MPP cases.…
No prominent works on this page.
Predictive model for neonatal HBV infection risk in infants of HBV-infected mothers in China
Objective: In China, vertical transmission is the primary route of hepatitis B virus (HBV) transmission from mothers to their children. This study aimed to develop a predictive model for assessing the risk of HBV infection in newborns born to mothers with HBV infection. Additionally, the model was validated across subgroups based on child stage, gender, and race to facilitate the early identification of high-risk newborns and the development of p…
Building a diagnostic prediction model for severe Mycoplasma pneumoniae pneumonia in children using machine learning
Objective: pneumonia (MPP) has shown a global pandemic trend. The increasing incidence of severe MPP (SMPP) leads to complications and even deaths, severely impacting prognosis and quality of life. Our study aimed to use machine learning to construct an early diagnostic model for severe MPP in children. It supports early prediction, prevention, and individualized precise treatment of SMPP. Methods: We collected medical records from 372 MPP cases.…
Study on Right-Turning Vehicles’ Yielding Behavior for Crossing E-Bikes at Signalized Intersections
This study aimed to explore the factors influencing right-turning vehicles’ yielding behavior for crossing e-bikes at signalized intersections to improve safety for crossing e-bikes. Videos of different intersections were obtained through manual video recording and drone aerial photography. Spatiotemporal information data for right-turning vehicles and straight-through e-bikes were extracted through Tracker 6.0 software. Right-turning vehicle yie…
China (1 work) · COVID-19 diagnosis using AI (1 work) · Hepatitis B virus (1 work) · Hepatitis B Virus Studies (1 work) · Internal Medicine (1 work) · Intersection (aeronautics (1 work) · Iron Metabolism and Disorders (1 work) · Level crossing (1 work) · Medicine (1 work) · MEDLINE (1 work)