AIMC Journal:
Studies in health technology and informatics

Showing 971 to 980 of 1278 articles

Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning.

Studies in health technology and informatics
Using gene markers and other patient features to predict clinical outcomes plays a vital role in enhancing clinical decision making and improving prognostic accuracy. This work uses a large set of colorectal cancer patient data to train predictive mo...

3000PA-Towards a National Reference Corpus of German Clinical Language.

Studies in health technology and informatics
We introduce 3000PA, a clinical document corpus composed of 3,000 EPRs from three different clinical sites, which will serve as the backbone of a national reference language resource for German clinical NLP. We outline its design principles, results ...

XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine.

Studies in health technology and informatics
Predictive models can support physicians to tailor interventions and treatments to their individual patients based on their predicted response and risk of disease and help in this way to put personalized medicine into practice. In allogeneic stem cel...

A New Essential Functions Installed DWH in Hospital Information System: Process Mining Techniques and Natural Language Processing.

Studies in health technology and informatics
Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities. Data Warehouse systems in Hospital Information Systems used for the analysis of structured data suc...

Modeling a System for Generating Structured Reports.

Studies in health technology and informatics
The purpose of this research is to make the medical report generation process more practical, fast and reliable, both for the health professional and for the patient. We created an ontology and modeling of a structured report (SR) Standard DICOM SR.

Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database.

Studies in health technology and informatics
To handle differences in affiliation names submitted with biomedical journal articles, we build an affiliation knowledge base named Authority File for Affiliations (AFA) based on ontology principles. There are currently 113,700 affiliation concepts w...

Using Semantic Technologies to Extract Highlights from Care Notes.

Studies in health technology and informatics
We propose a cognitive system for patient-centric care that leverages and combines natural language processing, semantics, and learning from users over time to support care professionals working with large volumes of patient notes. The proposed metho...

Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support.

Studies in health technology and informatics
Diagnostic delay involves the peril of information becoming outdated. It is a challenging task to quantify the up-to-dateness of clinical information and the consequences of diagnostic delay with the goal of considering them in clinical decision supp...

Patient's Adherence Level Determination System.

Studies in health technology and informatics
The present paper deals with intellectual systems for patient's level adherence determination. The most popular novadays technique for adherence evaluation is interview. We advise new automation approach, which compares direct pation data with treatm...

Comparison of Different Algorithms for Sentiment Analysis: Psychological Stress Notes.

Studies in health technology and informatics
To visualize and compare three text analysis algorithms of sentiment (AFINN, Bing, Syuzhet), applied to 1549 ecologically assessed self-report stress notes obtained by smartphone, in order to gain insights about stress measurement and management.