Biomedical informatics on the cloud: a treasure hunt for advancing cardiovascular medicine

P **, H Hermjakob, JS Polson, PV Benos… - Circulation …, 2018‏ - ahajournals.org
In the digital age of cardiovascular medicine, the rate of biomedical discovery can be greatly
accelerated by the guidance and resources required to unearth potential collections of …

A systematic review of open source clinical software on GitHub for improving software reuse in smart healthcare

Z Shen, M Spruit - Applied Sciences, 2019‏ - mdpi.com
The plethora of open source clinical software offers great reuse opportunities for developers
to build clinical tools at lower cost and at a faster pace. However, the lack of research on …

Hpcfair: Enabling fair ai for hpc applications

G Verma, M Emani, C Liao, PH Lin… - 2021 IEEE/ACM …, 2021‏ - ieeexplore.ieee.org
Artificial Intelligence (AI) is being adopted in different domains at an unprecedented scale. A
significant interest in the scientific community also involves leveraging machine learning …

Recognizing software names in biomedical literature using machine learning

Q Wei, Y Zhang, M Amith, R Lin… - Health informatics …, 2020‏ - journals.sagepub.com
Software tools now are essential to research and applications in the biomedical domain.
However, existing software repositories are mainly built using manual curation, which is time …

[PDF][PDF] LOCATE: A web application to link open-source clinical software with literature

Z Shen, M Spruit - Proceedings of the 12th International Joint …, 2019‏ - scitepress.org
Nowadays, the effective utilization of open-source software could significantly boost both
clinical research and practices, especially in resource-poor countries. However, the plethora …

[کتاب][B] Learning Robust Representations for Low-resource Information Extraction

Y Zhou - 2021‏ - search.proquest.com
Abstract Information extraction (IE) plays a significant role in automating the knowledge
acquisition process from unstructured or semi-structured textual sources. Named entity …

Develo** Metadata Categories as a Strategy to Mobilize Computable Biomedical Knowledge

BS Alper, BE Bray, ML Conte, C Eldredge, A Flynn… - 2020‏ - deepblue.lib.umich.edu
Computable biomedical knowledge artifacts (CBKs) are digital objects or entities
representing biomedical knowledge as machine-independent data structures that can be …