A5024320407- Lung Cancer Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
- AI in cancer detection
- Functional Brain Connectivity Studies
- Radiomics and Machine Learning in Medical Imaging
- Blockchain Technology Applications and Security
- Mental Health Research Topics
- Stock Market Forecasting Methods
- Data Stream Mining Techniques
Tianjin Medical University
2022-2024
Peking University
2023
Bitcoin is one of the most successful cryptocurrencies, and research on price predictions receiving more attention. To predict fluctuations better effectively, it necessary to establish a abundant index system prediction model with effect. In this study, combined twin support vector regression was used as main model. Twenty-seven factors related prices were collected. Some that have greatest impact selected by using XGBoost algorithm random forest algorithm. The (SVR), least-squares (LSSVR),...
Schizophrenia, a multifaceted psychiatric disorder characterized by functional dysconnectivity, poses significant challenges in clinical practice. This study explores the potential of connectivity (FC)-based searchlight multivariate pattern analysis (CBS-MVPA) to discriminate between schizophrenia patients and healthy controls while also predicting variables.
Lung cancer is one of the most common cancers, and early diagnosis intervention can improve cure rate.To predictive performance radiomics features for lung by tuning machine learning model parameters.Using a dataset involving 263 cases (125 benign 138 malignant) acquired from our hospital, each classifier trained tested using 237 26 cases, respectively. We initially extract 867 CT images development then test 10 feature selections 7 models to determine best method. further tune parameter...