AIMC Topic: Knowledge Bases

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AI for life: Trends in artificial intelligence for biotechnology.

New biotechnology
Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone's lips today. When advances in biotechnology are combined with advances in AI unprecedented new potential solutions become available. This can help with many global ...

Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review.

Journal of healthcare engineering
BACKGROUND: Artificial intelligence (AI) has developed rapidly, and its application extends to clinical decision support system (CDSS) for improving healthcare quality. However, the interpretability of AI-driven CDSS poses significant challenges to w...

Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction.

IEEE/ACM transactions on computational biology and bioinformatics
The automatic extraction of the chemical-disease relation (CDR) from the text becomes critical because it takes a lot of time and effort to extract valuable CDR manually. Studies have shown that prior knowledge from the biomedical knowledge base is i...

Sensor-Driven Human-Robot Synergy: A Systems Engineering Approach.

Sensors (Basel, Switzerland)
Knowledge-based synergistic automation is a potential intermediate option between the opposite extremes of manual and fully automated robotic labor in agriculture. Disruptive information and communication technologies (ICT) and sophisticated solution...

MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.

BMC bioinformatics
BACKGROUND: Medication recommendation based on electronic medical record (EMR) is a research hot spot in smart healthcare. For developing computational medication recommendation methods based on EMR, an important challenge is the lack of a large numb...

A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base.

Sensors (Basel, Switzerland)
In view of various security requirements, there are various security services in the network. In particular, DDoS attacks have various types and detection methods. How to flexibly combine security services and make full use of the information provide...

GediNET for discovering gene associations across diseases using knowledge based machine learning approach.

Scientific reports
The most common approaches to discovering genes associated with specific diseases are based on machine learning and use a variety of feature selection techniques to identify significant genes that can serve as biomarkers for a given disease. More rec...

Ontology-based surgical workflow recognition and prediction.

Journal of biomedical informatics
BACKGROUND: Surgical context-aware systems can adapt to the current situation in the operating room and thus provide computer-aided assistance functionalities and intraoperative decision-support. To interact with the surgical team perceptively and as...

More refined superbag: Distantly supervised relation extraction with deep clustering.

Neural networks : the official journal of the International Neural Network Society
Distant supervision (DS) can automatically generate annotated data for relation extraction (RE) with knowledge bases and corpora. The existing DS methods that train on bags selected by attention mechanism are susceptible to noisy bags and neglect use...

CTRR-ncRNA: A Knowledgebase for Cancer Therapy Resistance and Recurrence Associated Non-coding RNAs.

Genomics, proteomics & bioinformatics
Cancer therapy resistance and recurrence (CTRR) are the dominant causes of death in cancer patients. Recent studies have indicated that non-coding RNAs (ncRNAs) can not only reverse the resistance to cancer therapy but also are crucial biomarkers for...