AIMC Journal:
Studies in health technology and informatics

Showing 371 to 380 of 1224 articles

Elucidating Discrepancy in Explanations of Predictive Models Developed Using EMR.

Studies in health technology and informatics
The lack of transparency and explainability hinders the clinical adoption of Machine learning (ML) algorithms. While explainable artificial intelligence (XAI) methods have been proposed, little research has focused on the agreement between these meth...

Hierarchical Label Distribution Learning for Disease Prediction.

Studies in health technology and informatics
The prediction of disease can facilitate early intervention, comprehensive diagnosis and treatment, thereby benefiting healthcare and reducing medical costs. While single class and multi-class learning methods have been applied for disease prediction...

Treatment Prediction in the ICU Using a Partitioned, Sequential, Deep Time Series Analysis.

Studies in health technology and informatics
We have developed a time-oriented machine-learning tool to predict the binary decision of administering a medication and the quantitative decision regarding the specific dose. We evaluated our tool on the MIMIC-IV ICU database, for three common medic...

Developing Robust Clinical Text Deep Learning Models - A "Painless" Approach.

Studies in health technology and informatics
The success of deep learning in natural language processing relies on ample labelled training data. However, models in the health domain often face data inadequacy due to the high cost and difficulty of acquiring training data. Developing such models...

Extracting Symptoms of Agitation in Dementia from Free-Text Nursing Notes Using Advanced Natural Language Processing.

Studies in health technology and informatics
Nursing staff record observations about older people under their care in free-text nursing notes. These notes contain older people's care needs, disease symptoms, frequency of symptom occurrence, nursing actions, etc. Therefore, it is vital to develo...

Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach.

Studies in health technology and informatics
Pain is a common reason for accessing healthcare resources and is a growing area of research, especially in its overlap with mental health. Mental health electronic health records are a good data source to study this overlap. However, much informatio...

Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models.

Studies in health technology and informatics
In this paper, we address the related tasks of medication extraction, event classification, and context classification from clinical text. The data for the tasks were obtained from the National Natural Language Processing (NLP) Clinical Challenges (n...

Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers.

Studies in health technology and informatics
Automatic extraction of relations between drugs/chemicals and proteins from ever-growing biomedical literature is required to build up-to-date knowledge bases in biomedicine. To promote the development of automated methods, BioCreative-VII organized ...

Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts.

Studies in health technology and informatics
Medical research prioritization is an important aspect of decision-making by researchers and relevant stakeholders. The ever-increasing availability of technology and data has opened doors to new discoveries and new questions. This makes it difficult...

Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing.

Studies in health technology and informatics
According to the World Stroke Organization, 12.2 million people world-wide will have their first stroke this year almost half of which will die as a result. Natural Language Processing (NLP) may improve stroke phenotyping; however, existing rule-base...