A5067531408- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Health, Environment, Cognitive Aging
- Genomics and Rare Diseases
- Computational Drug Discovery Methods
- Machine Learning in Healthcare
- Asymmetric Hydrogenation and Catalysis
Abstract Motivation Epilepsy is a multifaceted complex disorder that requires precise understanding of the classification, diagnosis, treatment and disease mechanism governing it. Although scattered resources are available on epilepsy, comprehensive structured knowledge missing. In contemplation to promote multidisciplinary exchange facilitate advancement in clinical management, especially pre-clinical research, disease-specific ontology necessary. The presented designed enable better...
Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner. To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated latest findings. Natural language processing (NLP) has created new possibilities automating this upkeep by facilitating extraction from free text. However, due to annotated and labeled biomedical data limitations, development completely autonomous systems remains...
Although hundreds of datasets have been published since the beginning coronavirus pandemic, there is a lack centralized resources where these are listed and harmonized to facilitate their applicability uptake by predictive modeling approaches. Firstly, such resource provides information about data owners researchers who searching develop models. Secondly, harmonization supports simultaneously taking advantage several similar datasets. This, in turn, does not only ease imperative external...