AIMC Topic: Knowledge Bases

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DRPMKB1.0: A Comprehensive Knowledge Base for an AI-Oriented Drug Repositioning Prediction Model.

Journal of chemical information and modeling
Drug repositioning (DR) reduces the risks and costs of drug development by identifying new uses for approved drugs. The rapid growth of artificial intelligence (AI) has led to many computational models. However, without effective integration, excess ...

DHerbKB for CKD: knowledge base of diet and toxic herbal medicines for clinical support of chronic kidney disease.

Journal of translational medicine
BACKGROUND: Dietary management and nephrotoxic herbal medicine control are essential and sophisticated in chronic kidney disease(CKD) care. Information gap between clinical principles and real-world practice hinders the relevant management. It is nec...

Black pepper knowledge base (BlackPepKB): a centralized web resource for functional genomics of black pepper (Piper nigrum L.).

BMC genomics
BACKGROUND: Black pepper (Piper nigrum L.) is a highly valued spice crop with significant economic, medicinal, and cultural importance. While genomic and transcriptomic data for black pepper have rapidly accumulated in recent years, there is currentl...

NoAC: an automatic builder for knowledge bases and query interfaces on genomes of non-model organisms.

Journal of molecular biology
The cost of sequencing a genome has become affordable for many research groups. However, with the growing number of sequenced genomes from non-model organisms, manually building functional genome annotation knowledge databases for each species is no ...

KGMP: Augmenting retrieval knowledge graph with multi-hop perceptron.

PloS one
The core challenge of Knowledge Base Question Answering (KBQA), as a bridge between natural language and structured knowledge, is to accurately map complex semantic queries into Graph Query Language (GQL). Compared with the traditional Text-to-SQL ta...

BrainProt v3.0: An Integrative and Simplified Omics-Based Knowledge-Base About the Human Brain and Its Associated Diseases.

Journal of proteome research
The advancements in neuroscience research and omics technologies generate extensive data for brain-related diseases and disorders that are scattered across various manuscript repositories and databases, potentially hindering global initiatives to adv...

Application of ChatGPT-based artificial intelligence in the diagnosis and management of polycystic ovary syndrome.

BMC medical informatics and decision making
This study systematically develops and evaluates the application value of the PCOS-GPT system, an artificial intelligence (AI) assistant based on ChatGPT technology, in the diagnosis and management of polycystic ovary syndrome (PCOS). The research ex...

Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation.

BMC cardiovascular disorders
In the healthcare industry, the Semantic Web offers to manage a huge amount of medical data which is machine-readable and machine-understandable as well. This domain incorporates ontologies, linked data, and semantic web technologies to promote healt...

Curating a knowledge base for patients with neurosyphilis: a study protocol of a DEep learning Framework for pErsonalized prediction of Adverse prognosTic events in NeuroSyphilis (DEFEAT-NS).

BMJ open
INTRODUCTION: Adverse prognostic events (APE) of neurosyphilis include ongoing syphilitic meningitis, meningovascular syphilis, parenchymatous neurosyphilis and death. Its complexity and rarity have the potential to result in the underestimated true ...

Developed a knowledge base of risk factors for postoperative cognitive dysfunction: a retrospective database study.

Scientific reports
Postoperative cognitive dysfunction (POCD), a heterogeneous spectrum of surgery/anesthesia-associated neurocognitive impairments, represents a critical clinical challenge due to its associations with prolonged hospitalization, increased mortality, an...