Diagnosis support systems for rare diseases: a scoping review
Introduction Rare diseases affect approximately 350 million people worldwide. Delayed
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …
Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies
C Faviez, X Chen, N Garcelon, M Zaidan… - BMC Medical Informatics …, 2024 - Springer
Background There are approximately 8,000 different rare diseases that affect roughly 400
million people worldwide. Many of them suffer from delayed diagnosis. Ciliopathies are rare …
million people worldwide. Many of them suffer from delayed diagnosis. Ciliopathies are rare …
[HTML][HTML] Opportunities for web-based drug repositioning: searching for potential antihypertensive agents with hypotension adverse events
K Wang, M Wan, RS Wang, Z Weng - Journal of medical Internet research, 2016 - jmir.org
Background: Drug repositioning refers to the process of developing new indications for
existing drugs. As a phenotypic indicator of drug response in humans, clinical side effects …
existing drugs. As a phenotypic indicator of drug response in humans, clinical side effects …
A new recommendation algorithm combined with spectral clustering and transfer learning
X Li, Z Wang - Cluster Computing, 2019 - Springer
Collaborative filtering (CF) recommendation algorithm has been successfully applied into
recommender systems for years which can solve the problem of information overload …
recommender systems for years which can solve the problem of information overload …
Recommendation algorithm based on improved spectral clustering and transfer learning
X Li, Z Wang, R Hu, Q Zhu, L Wang - Pattern Analysis and Applications, 2019 - Springer
Collaborative filtering (CF) recommendation has made great success in solving information
overload. However, CF has some disadvantages such as cold start, data sparseness, low …
overload. However, CF has some disadvantages such as cold start, data sparseness, low …
A bipartite graph-based ranking approach to query subtopics diversification focused on word embedding features
Web search queries are usually vague, ambiguous, or tend to have multiple intents. Users
have different search intents while issuing the same query. Understanding the intents …
have different search intents while issuing the same query. Understanding the intents …