AIMC Topic: Knowledge Bases

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An innovative process for efficient automated optimizing IMRT knowledge-based planning (KBP).

Medical physics
BACKGROUND: Radiotherapy treatment planning is a time-consuming task that requires expert and skilled manpower, particularly for weight adjustment. Valuable attempts have been made to automate the treatment planning process as well as decrease comput...

Knowledge-based trade-off prediction for NSCLC treatment planning using multi-output regression.

Medical physics
BACKGROUND: Knowledge-based planning (KBP) is a data-driven approach that utilizes the knowledge from previous high-quality treatment plans to predict dose-volume histogram (DVH) parameters for organs-at-risk (OARs) in new cases. Research has demonst...

Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: This study aims to develop and evaluate an approach using large language models (LLMs) and a knowledge graph to triage patient messages that need emergency care. The goal is to notify patients when their messages indicate an emergency, gu...

Beyond Phecodes: leveraging PheMAP to identify patients lacking diagnosis codes in electronic health records.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Diagnosis codes documented in electronic health records (EHR) are often relied upon to clinically phenotype patients for biomedical research. However, these diagnoses can be incomplete and inaccurate, leading to false negatives when search...

R-CKGAT: a recommendation algorithm based on scientific fitness knowledge graph.

Scientific reports
In recent years, with the spread and popularization of health knowledge, more and more people have begun to participate in fitness exercises to strengthen their bodies and prevent diseases. However, due to the lack of fitness knowledge base and the i...

A Knowledge Graph for the Exploration of Human RSV Infection.

Studies in health technology and informatics
Despite decades of research and disease burden, RSV remains the most common cause of acute lower respiratory tract infection (ALRTI) in infants <2 years of age. New vaccines and an improved long lasting monoclonal antibody have been approved to prote...

Development of a Voice-Interactive Chatbot for Personalized Health Management Using a Lifestyle Recommendation Knowledge Base.

Studies in health technology and informatics
This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated medical literature. By leveraging 17 key health variables, the chatbot addresses approximately 150 m...

Building a Knowledge Base for Variant Annotation Using Therapy Recommendations in cBioPortal.

Studies in health technology and informatics
Molecular tumor boards present special challenges when it comes to information collection for case preparation. It is one of the most time-consuming tasks participating pathologists and oncologists face, limiting the number of cases that can be discu...

Building organisational cyber resilience: A strategic knowledge-based view of cyber security management.

Journal of business continuity & emergency planning
The concept of cyber resilience has emerged in recent years in response to the recognition that cyber security is more than just risk management. Cyber resilience is the goal of organisations, institutions and governments across the world and yet the...

NDDRF 2.0: An update and expansion of risk factor knowledge base for personalized prevention of neurodegenerative diseases.

Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION: Neurodegenerative diseases (NDDs) are chronic diseases caused by brain neuron degeneration, requiring systematic integration of risk factors to address their heterogeneity. Established in 2021, Knowledgebase of Risk Factors for Neurodeg...