[HTML][HTML] Disease networks and their contribution to disease understanding: A review of their evolution, techniques and data sources
Over a decade ago, a new discipline called network medicine emerged as an approach to
understand human diseases from a network theory point-of-view. Disease networks proved …
understand human diseases from a network theory point-of-view. Disease networks proved …
[HTML][HTML] A cyber risk prediction model using common vulnerabilities and exposures
The cyber risk from malicious external attackers is a significant socio-economic problem.
Cyber risk prediction is particularly difficult, given the constantly changing attack vectors …
Cyber risk prediction is particularly difficult, given the constantly changing attack vectors …
DISNET: a framework for extracting phenotypic disease information from public sources
G Lagunes-García, A Rodríguez-González… - PeerJ, 2020 - peerj.com
Background Within the global endeavour of improving population health, one major
challenge is the identification and integration of medical knowledge spread through several …
challenge is the identification and integration of medical knowledge spread through several …
[HTML][HTML] Opting out in computer-supported sequential collaboration
Many online collaborative projects such as Wikipedia and OpenStreetMap organize
collaboration among their contributors sequentially. When engaging in sequential …
collaboration among their contributors sequentially. When engaging in sequential …
A diachronic perspective on citation latency in Wikipedia articles on CRISPR/Cas-9: an exploratory case study
This paper analyzes Wikipedia's representation of the Nobel Prize winning CRISPR/Cas9
technology, a method for gene editing. We propose and evaluate different heuristics to …
technology, a method for gene editing. We propose and evaluate different heuristics to …
Conocimiento libre en tiempos de pandemia. Estudio de los artículos “Covid-19” y “Pandemia por Covid-19” en Wikipedia
Esta investigación estudia los artículos de “Covid-19” y de “Pandemia por Covid-19” en
cuatro versiones lingüísticas de Wikipedia (inglés, español, italiano y portugués). El período …
cuatro versiones lingüísticas de Wikipedia (inglés, español, italiano y portugués). El período …
How Wikipedia disease information evolve over time? An analysis of disease-based articles changes
G Lagunes-García, A Rodríguez-González… - Information Processing …, 2020 - Elsevier
Wikipedia, also known as" The Free Encyclopaedia”, is one of the largest online repositories
of biomedical information in the world, and is nowadays increasingly been used by medical …
of biomedical information in the world, and is nowadays increasingly been used by medical …
Analysis of new nosological models from disease similarities using clustering
LP Santamaría, EPG del Valle… - 2020 IEEE 33rd …, 2020 - ieeexplore.ieee.org
While classical disease nosology is based on phenotypical characteristics, the increasing
availability of biological and molecular data is providing new understanding of diseases and …
availability of biological and molecular data is providing new understanding of diseases and …
Peningkatan Visibilitas Buku Ilmiah Elektronik Memanfaatkan Aplikasi Google
DEIR Mahelingga - Anuva: Jurnal Kajian Budaya …, 2023 - ejournal2.undip.ac.id
Penelitian ini mengkaji bagaimana hubungan antara peningkatan minat pada suatu topik
dengan peningkatan klik halaman situs web buku ilmiah elektronik. Tujuan dari kajian ini …
dengan peningkatan klik halaman situs web buku ilmiah elektronik. Tujuan dari kajian ini …
Step-forward structuring disease phenotypic entities with LLMs for disease understanding
Á García-Barragán, AG Calatayud… - 2024 IEEE 37th …, 2024 - ieeexplore.ieee.org
In the rapidly evolving field of biomedical text mining, the extraction of phenotypic entities
from unstructured texts remains a pivotal challenge. This paper introduces a novel method …
from unstructured texts remains a pivotal challenge. This paper introduces a novel method …