Medical Knowledge Graph

DataFunSummit

Mar 16, 2023 · Artificial Intelligence

Construction of Real‑World Medical Knowledge Graphs and Clinical Event Graphs

The article describes how YiduCloud builds real‑world medical knowledge graphs and clinical event graphs from heterogeneous hospital systems (EMR, HIS, LIS, RIS) using data aggregation, de‑identification, quality control, NLP‑driven entity extraction, standardisation, graph construction, cleaning, embedding and various AI‑powered applications such as decision support, intelligent diagnosis, automated medical‑record generation and patient recruitment.

AIMedical Knowledge GraphNLP

0 likes · 21 min read

Construction of Real‑World Medical Knowledge Graphs and Clinical Event Graphs

DataFunTalk

Oct 3, 2022 · Artificial Intelligence

Building Real‑World Medical Knowledge Graphs and Clinical Event Graphs: Methods, Pipelines, and Applications

This article explains how YiduCore processes heterogeneous hospital data (EMR, HIS, LIS, RIS, literature) to construct real‑world medical knowledge graphs and clinical event graphs, detailing pipelines for entity extraction, normalization, graph cleaning, PSR scoring, graph embedding, and showcasing applications such as intelligent diagnosis, question answering, automated medical record generation, and clinical trial patient recruitment.

AIMedical Knowledge GraphNLP

0 likes · 21 min read

Building Real‑World Medical Knowledge Graphs and Clinical Event Graphs: Methods, Pipelines, and Applications

DataFunTalk

Jan 6, 2022 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a detailed seven‑piece ontology and "Huizhi" graph construction process, platform support, and real‑world healthcare applications such as intelligent alerts, guideline recommendations, and data reporting.

HealthcareMedical Knowledge Graphartificial intelligence

0 likes · 11 min read

Deep Application‑Driven Construction of Medical Knowledge Graphs

DataFunSummit

Dec 28, 2021 · Artificial Intelligence

Deep Application‑Driven Construction of Medical Knowledge Graphs: Methods, Models, and Case Studies

This article presents a comprehensive overview of medical knowledge graph development, covering global and domestic progress, domain characteristics, a six‑step construction workflow—including schema design, ontology term set creation, and graph building—and showcases practical applications such as intelligent alerts, guideline recommendations, and data direct reporting.

HealthcareMedical Knowledge Graphartificial intelligence

0 likes · 11 min read

Deep Application‑Driven Construction of Medical Knowledge Graphs: Methods, Models, and Case Studies

DataFunTalk

Nov 25, 2021 · Artificial Intelligence

Integrating Domain Knowledge into AI‑Driven Medical Reasoning: Trends, Challenges, and Techniques

With the rise of deep learning, the article examines the current state of smart healthcare, identifies core challenges such as industry constraints, data privacy, and algorithmic limitations, and explores how domain knowledge—through medical knowledge graphs and specialized pre‑training models—can be integrated into AI reasoning for improved clinical decision support.

AI in HealthcareClinical Decision SupportDomain Pretraining

0 likes · 17 min read

Integrating Domain Knowledge into AI‑Driven Medical Reasoning: Trends, Challenges, and Techniques