AIMC Topic: Documentation

Clear Filters Showing 91 to 100 of 162 articles

Machine Learning Approaches on Diagnostic Term Encoding With the ICD for Clinical Documentation.

IEEE journal of biomedical and health informatics
This work focuses on data mining applied to the clinical documentation domain. Diagnostic terms (DTs) are used as keywords to retrieve valuable information from electronic health records. Indeed, they are encoded manually by experts following the Int...

"What is relevant in a text document?": An interpretable machine learning approach.

PloS one
Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML) models have been trained to automatically map documents to these abstract concepts, allowing to annotate ve...

Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.

Journal of forensic and legal medicine
OBJECTIVES: Automatic text classification techniques are useful for classifying plaintext medical documents. This study aims to automatically predict the cause of death from free text forensic autopsy reports by comparing various schemes for feature ...

Literature evidence in open targets - a target validation platform.

Journal of biomedical semantics
BACKGROUND: We present the Europe PMC literature component of Open Targets - a target validation platform that integrates various evidence to aid drug target identification and validation. The component identifies target-disease associations in docum...

Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.

Applied clinical informatics
BACKGROUND: Important information to support healthcare quality improvement is often recorded in free text documents such as radiology reports. Natural language processing (NLP) methods may help extract this information, but these methods have rarely...

Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology.

BioMed research international
Increasing evidences indicated that function annotation of human genome in molecular level and phenotype level is very important for systematic analysis of genes. In this study, we presented a framework named Gene2Function to annotate Gene Reference ...

Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach.

Journal of translational medicine
BACKGROUND: Translational research is a key area of focus of the National Institutes of Health (NIH), as demonstrated by the substantial investment in the Clinical and Translational Science Award (CTSA) program. The goal of the CTSA program is to acc...

Adapting content-based image retrieval techniques for the semantic annotation of medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
The automatic annotation of medical images is a prerequisite for building comprehensive semantic archives that can be used to enhance evidence-based diagnosis, physician education, and biomedical research. Annotation also has important applications i...

Uncovering Hospitalists' Information Needs from Outside Healthcare Facilities in the Context of Health Information Exchange Using Association Rule Learning.

Applied clinical informatics
BACKGROUND: Important barriers to health information exchange (HIE) adoption are clinical workflow disruptions and troubles with the system interface. Prior research suggests that HIE interfaces providing faster access to useful information may stimu...

Human Rights Texts: Converting Human Rights Primary Source Documents into Data.

PloS one
We introduce and make publicly available a large corpus of digitized primary source human rights documents which are published annually by monitoring agencies that include Amnesty International, Human Rights Watch, the Lawyers Committee for Human Rig...