Shen, Feichen

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

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

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

Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition

Shen, F., Liu, S., Fu, S., Wang, Y., Henry, S., Uzuner, O., & Liu, H. (2021) · JMIR Medical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 21

PEMAR: A pervasive middleware for activity recognition with smart phones

Vaka, P., Shen, F., Chandrashekar, M., & Lee, Y. (2015) · 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 16