AIMC Topic: Knowledge Bases
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Differences in information accessed in a pharmacologic knowledge base using a conversational agent vs traditional search methods.
International journal of medical informatics
Jul 16, 2021
INTRODUCTION: Clinicians rely on pharmacologic knowledge bases to answer medication questions and avoid potential adverse drug events. In late 2018, an artificial intelligence-based conversational agent, Watson Assistant (WA), was made available to o...
InpherNet accelerates monogenic disease diagnosis using patients' candidate genes' neighbors.
Genetics in medicine : official journal of the American College of Medical Genetics
Jul 6, 2021
PURPOSE: Roughly 70% of suspected Mendelian disease patients remain undiagnosed after genome sequencing, partly because knowledge about pathogenic genes is incomplete and constantly growing. Generating a novel pathogenic gene hypothesis from patient ...
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection.
IEEE transactions on neural networks and learning systems
Jul 6, 2021
Due to the high availability of large-scale annotated image datasets, knowledge transfer from pretrained models showed outstanding performance in medical image classification. However, building a robust image classification model for datasets with da...
Toward a Coronavirus Knowledge Graph.
Genes
Jun 29, 2021
This study builds a coronavirus knowledge graph (KG) by merging two information sources. The first source is Analytical Graph (AG), which integrates more than 20 different public datasets related to drug discovery. The second source is CORD-19, a col...
A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks.
Sensors (Basel, Switzerland)
Jun 22, 2021
Cyber-physical systems such as satellite telecommunications networks generate vast amounts of data and currently, very crude data processing is used to extract salient information. Only a small subset of data is used reactively by operators for troub...
NDDRF: A risk factor knowledgebase for personalized prevention of neurodegenerative diseases.
Journal of advanced research
Jun 20, 2021
INTRODUCTION: Neurodegenerative diseases (NDDs) are a series of chronic diseases, which are associated with progressive loss of neuronal structure or function. The complex etiologies of the NDDs remain unclear, thus the prevention and early diagnosis...
Modern computational intelligence based drug repurposing for diabetes epidemic.
Diabetes & metabolic syndrome
Jun 18, 2021
BACKGROUND AND AIM: Objectives are to explore recent advances in discovery of new antidiabetic agents using repurposing strategies and to discuss modern technologies used for drug repurposing highlighting diabetic specific web portal.
Biomedical Knowledge Graphs Construction From Conditional Statements.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 3, 2021
Conditions play an essential role in biomedical statements. However, existing biomedical knowledge graphs (BioKGs) only focus on factual knowledge, organized as a flat relational network of biomedical concepts. These BioKGs ignore the conditions of t...
Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation.
BMC bioinformatics
Jun 2, 2021
BACKGROUND: Biomedical named entity recognition is one of the most essential tasks in biomedical information extraction. Previous studies suffer from inadequate annotated datasets, especially the limited knowledge contained in them.
Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey.
Journal of biomedical informatics
May 24, 2021
The identification of causal relationships between events or entities within biomedical texts is of great importance for creating scientific knowledge bases and is also a fundamental natural language processing (NLP) task. A causal (cause-effect) rel...
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