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Updated: May 19, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Knowledge Representation and Management: Towards Patient Health Self-management.

A-M Rassinoux¹

¹University Hospitals of Geneva, Information Systems Division, 4, Rue Gabrielle-Perret-Gentil, CH-1211 Geneva 14, Switzerland.

Yearbook of Medical Informatics

|August 15, 2012

Summary

This summary is machine-generated.

This research highlights advances in knowledge representation and management (KRM) using natural language processing for extracting medical information and improving patient health records. These tools aid in managing health data effectively.

Related Experiment Videos

Last Updated: May 19, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

Area of Science:

Medical Informatics
Knowledge Management
Natural Language Processing

Background:

Current research in knowledge representation and management (KRM) is rapidly evolving.
The IMIA Yearbook 2012 provides a snapshot of key advancements in health informatics.

Purpose of the Study:

To summarize significant research in knowledge representation and management (KRM).
To identify current trends in health management research.

Main Methods:

Synopsis of selected articles from the IMIA Yearbook 2012.
Analysis of research on natural language processing (NLP) and knowledge extraction.

Main Results:

Two papers demonstrate the value of open-source toolkits for extracting medical concepts and relationships from clinical texts.
One study focuses on improving biomedical noun phrase parsing using domain-specific terminologies.
Another paper explores discovering rare disease associations from diverse text sources.
A final paper presents a collaborative search approach integrated with an electronic health record (EHR) system.

Conclusions:

Natural language processing (NLP), knowledge extraction, discovery, and retrieval remain active research areas.
While not directly focused on personal health informatics, the research offers insights for patient self-management.
Secure and timely access to accurate personal health records is crucial for supporting self-managed healthcare.