Wang, Liwei

Clinical information extraction applications: A literature review

Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., Liu, S., Zeng, Y., Mehrabi, S., Sohn, S., et al. (2018) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 910

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Ding, J., Li, A., Hu, Z., & Wang, L. (2017) · Lecture Notes in Computer Science

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 385

A comparison of word embeddings for the biomedical natural language processing

Wang, Y., Liu, S., Afzal, N., Rastegar-Mojarad, M., Wang, L., Shen, F., Kingsbury, P., & Liu, H. (2018) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 370

Characterizing long COVID: deep phenotype of a complex condition

Deer, R. R., Rock, M. A., Vasilevsky, N., Carmody, L., Rando, H., Anzalone, A. J., Basson, M. D., Bennett, T. D., Bergquist, T., Boudreau, E. A., et al. (2021) · EBioMedicine

Long-Term Effects of COVID-19Biomedical Text Mining and Ontologies

Cited by 200

On the depth of deep neural networks: a theoretical view

Sun, S., Chen, W., Wang, L., Liu, X., & Liu, T.-Y. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 147

MedSTS: a resource for clinical semantic textual similarity

Wang, Y., Afzal, N., Fu, S., Wang, L., Shen, F., Rastegar-Mojarad, M., & Liu, H. (2020) · Language Resources and Evaluation

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 124

CancerBERT: A cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records

Zhou, S., Wang, N., Wang, L., Liu, H., & Zhang, R. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 119

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Ke, P., Ji, H., Ran, Y., Cui, X., Wang, L., Song, L., Zhu, X., & Huang, M. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingAdvanced Graph Neural Networks

Cited by 92

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions

Fu, S., Jia, H., Vassilaki, M., Keloth, V. K., Dang, Y., Zhou, Y., Garg, M., Petersen, R. C., St Sauver, J., Moon, S., et al. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 17

Quality assessment of functional status documentation in EHRs across different healthcare institutions

Fu, S., Vassilaki, M., Ibrahim, O. A., Petersen, R. C., Pagali, S., St Sauver, J., Moon, S., Wang, L., Fan, J. W., Liu, H., et al. (2022) · Frontiers in Digital Health

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 15

Impact of Diverse Data Sources on Computational Phenotyping

Wang, L., Olson, J. E., Bielinski, S. J., St. Sauver, J. L., Fu, S., He, H., Cicek, M. S., Hathcock, M. A., Cerhan, J. R., & Liu, H. (2020) · Frontiers in Genetics

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 10