Zero-shot information extraction from radiological reports using ChatGPT.
Int. J. Medical Informatics, March, 2024
Predicting Lung Cancer Patient Prognosis with Large Language Models.
CoRR, 2024
The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer.
CoRR, 2024
The current status of large language models in summarizing radiology report impressions.
CoRR, 2024
TGMT: A Terminology-Guided Multi-Task Approach for Lung Cancer CT Report Generation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
KAMLN: A Knowledge-aware Multi-label Network for Lung Cancer Complication Prediction.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Predicting Lymph Node Metastasis of Lung Cancer: A Two-stage Multimodal Data Fusion Approach.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
A Multi-Modal Heterogeneous Graph Forest to Predict Lymph Node Metastasis of Non-Small Cell Lung Cancer.
IEEE J. Biomed. Health Informatics, March, 2023
A Deep Multi-Task Network to Learn Tumor Pathological Representations for Lymph Node Metastasis Prediction.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
A Hierarchy-driven Multi-label Network with Label Constraints for Post-operative Complication Prediction of Lung Cancer.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients.
BMC Medical Informatics Decis. Mak., 2022
Automatic SNOMED CT coding of Chinese clinical terms via attention-based semantic matching.
Int. J. Medical Informatics, 2022
A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging.
BMC Medical Informatics Decis. Mak., 2021
Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization.
Artif. Intell. Medicine, 2020
Evidential MACE prediction of acute coronary syndrome using electronic health records.
BMC Medical Informatics Decis. Mak., 2019
Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
TreatQuest®: A Patient-Oriented Evidence-Based Treatment Decision Support System for Lung Cancer.
Proceedings of the AMIA 2013, 2013