Jiangping He
Biographic Data
| ID | 5544823 |
|---|---|
| NAME | Jiangping He |
| GIVEN NAMES | Jiangping |
| FAMILY NAME | He |
| SIGNATURE | HE J |
| AFFILIATIONS | Lanzhou University of Finance and Economics |
| ORCID | 0000-0002-1425-3530 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Simulating Policy Impacts on the Evolution of Intellectual Property Securitisation Markets
The development of intellectual property (IP) securitisation markets during early institutional formation is highly sensitive to government intervention, posing complex challenges for firm financing behaviour and market evolution. This study develops an agent‐based model to examine how different interest rate and cost subsidy strategies, including type, intensity and timing of withdrawal, influence firm and investor behaviour. By simulating adapt…
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non–Small Cell Lung Cancer
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting overall survival among patients with non-small cell lung cancer using a Variable Importance (VIMP) approach in a machine-learning Random Survival Forest (RSF) model for posttreatment planning and follow…
No prominent works on this page.
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non–Small Cell Lung Cancer
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting overall survival among patients with non-small cell lung cancer using a Variable Importance (VIMP) approach in a machine-learning Random Survival Forest (RSF) model for posttreatment planning and follow…
Simulating Policy Impacts on the Evolution of Intellectual Property Securitisation Markets
The development of intellectual property (IP) securitisation markets during early institutional formation is highly sensitive to government intervention, posing complex challenges for firm financing behaviour and market evolution. This study develops an agent‐based model to examine how different interest rate and cost subsidy strategies, including type, intensity and timing of withdrawal, influence firm and investor behaviour. By simulating adapt…
AI in cancer detection (1 works) · Biology (1 works) · Cancer (1 works) · Capital Investment and Risk Analysis (1 works) · Complex adaptive system (1 works) · Intellectual property (1 works) · Internal Medicine (1 works) · Internal Medicine (1 works) · Lung cancer (1 works) · Lung Cancer Diagnosis and Treatment (1 works)