@article{21bd3361d9804079ab22dc1f6ecb59d4,
title = "Automatic identification of high impact relevant articles to support clinical decision making using attention-based deep learning",
keywords = "Clinical decision support, Deep learning, Health communication, Health management, Healthcare, Machine learning, Precision medicine",
author = "Beomjoo Park and Muhammad Afzal and Jamil Hussain and Asim Abbas and Sungyoung Lee",
note = "Funding Information: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information and communications Technology Promotion). This work was supported by the Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), NRF-2016K1A3A7A03951968, and NRF-2019R1A2C2090504. Funding Information: Funding: This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-0-01629) supervised by the IITP (Institute for Information and communications Technology Promotion). This work was supported by the Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00655), NRF-2016K1A3A7A03951968, and NRF-2019R1A2C2090504. Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2020",
month = sep,
doi = "10.3390/electronics9091364",
language = "English",
volume = "9",
pages = "1--15",
journal = "Electronics (Switzerland)",
issn = "2079-9292",
publisher = "MDPI",
number = "9",
}