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ORCIDJournal of Biomedical Informatics, Volume 99
Volume 99, November 2019
- Houcemeddine Turki
, Thomas Shafee, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha, Denny Vrandecic, Diptanshu Das, Helmi Hamdi:
Wikidata: A large-scale collaborative ontological medical database. - Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen:
An empirical study on prediction of population health through social media.
- Na Hong, Andrew Wen, Daniel J. Stone, Shintaro Tsuji, Paul R. Kingsbury, Luke V. Rasmussen, Jennifer A. Pacheco, Prakash Adekkanattu, Fei Wang, Yuan Luo, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries. - Shiyi Zhao, Lishuang Li, Hongbin Lu, Anqiao Zhou, Shuang Qian:
Associative attention networks for temporal relation extraction from electronic health records. - Adam Lavertu, Russ B. Altman:
RedMed: Extending drug lexicons for social media applications. - Shervin Malmasi, Wendong Ge, Naoshi Hosomura, Alexander Turchin:
Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients. - Souhir Ben Souissi, Mourad Abed, Lahcen Elhiki, Philippe Fortemps, Marc Pirlot:
PARS, a system combining semantic technologies with multiple criteria decision aiding for supporting antibiotic prescriptions. - Di Zhao, Jian Wang, Hongfei Lin, Zhihao Yang, Yijia Zhang:
Extracting drug-drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network. - Ning Shang, Cong Liu, Luke V. Rasmussen, Casey N. Ta, Robert J. Carroll, Barbara Benoit, Todd Lingren, Ozan Dikilitas, Frank D. Mentch, David S. Carrell, Wei-Qi Wei, Yuan Luo, Vivian S. Gainer, Iftikhar J. Kullo, Jennifer A. Pacheco, Hakon Hakonarson, Theresa L. Walunas, Joshua C. Denny, Chunhua Weng:
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. - Li Huang, Andrew L. Shea, Huining Qian, Aditya Masurkar, Hao Deng, Dianbo Liu:
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records. - Shan Zhao, Zhiping Cai, Haiwen Chen, Ye Wang, Fang Liu, Anfeng Liu:
Adversarial training based lattice LSTM for Chinese clinical named entity recognition. - Víctor Suárez-Paniagua, Renzo M. Rivera Zavala, Isabel Segura-Bedmar, Paloma Martínez:
A two-stage deep learning approach for extracting entities and relationships from medical texts.
- Yijia Zhang, Hongfei Lin, Zhihao Yang, Jian Wang, Yuanyuan Sun, Bo Xu, Zhehuan Zhao:
Neural network-based approaches for biomedical relation classification: A review.
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