Hua-sheng Liu
Biographic Data
| ID | 10011709 |
|---|---|
| NAME | Hua-sheng Liu |
| GIVEN NAMES | Hua-sheng |
| FAMILY NAME | Liu |
| SIGNATURE | LIU H |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from mycobacterium tuberculosis
Objective: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB. Methods: The clinical data and CT images of 175 patients were retrospectively obtained. We established clinical data-based model, radiomics-based model, and multimodal (clinical plus radiomics) model gradually using 5 machine learning algorithms (Logistic, XGBoost, AdaBoost, RandomForest, and LightGBM). Optimal alg…
No prominent works on this page.
Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from mycobacterium tuberculosis
Objective: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB. Methods: The clinical data and CT images of 175 patients were retrospectively obtained. We established clinical data-based model, radiomics-based model, and multimodal (clinical plus radiomics) model gradually using 5 machine learning algorithms (Logistic, XGBoost, AdaBoost, RandomForest, and LightGBM). Optimal alg…
Algorithm (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Logistic regression (1 work) · Machine learning (1 work) · Mycobacterium research and diagnosis (1 work) · Radiomics (1 work) · Radiomics and Machine Learning in Medical Imaging (1 work) · Tuberculosis Research and Epidemiology (1 work)