AIMC Topic: Natural Language Processing

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Comparing Multiple Models for Section Header Classification with Feature Evaluation.

Studies in health technology and informatics
We present on the performance evaluation of machine learning (ML) and Natural Language Processing (NLP) based Section Header classification. The section headers classification task was performed as a two-pass system. The first pass detects a section ...

A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI).

Studies in health technology and informatics
A new natural language processing (NLP) application for COVID-19 related information extraction from clinical text notes is being developed as part of our pandemic response efforts. This NLP application called DECOVRI (Data Extraction for COVID-19 Re...

Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology.

Studies in health technology and informatics
BACKGROUND: CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.

Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks.

Studies in health technology and informatics
Bidirectional recurrent neural networks (RNN) improved performance of various natural language processing tasks and recently have been used for diagnosis prediction. Advantages of general bidirectional RNN, however, are not readily applied to diagnos...

Review of the Performance Metrics for Natural Language Systems for Clinical Trials Matching.

Studies in health technology and informatics
Natural Language Processing (NLP) has been adopted widely in clinical trial matching for its ability to process unstructured text that is often found in electronic health records. Despite the rise in the new tools that use NLP to match patients to el...

Towards Automated Screening of Literature on Artificial Intelligence in Nursing.

Studies in health technology and informatics
We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first trained on a set of manually ...

NLP-Assisted Pipeline for COVID-19 Core Outcome Set Identification Using ClinicalTrials.gov.

Studies in health technology and informatics
Core outcome sets (COS) are necessary to ensure the systematic collection, metadata analysis and sharing the information across studies. However, development of an area-specific clinical research is costly and time consuming. ClinicalTrials.gov, as a...

AUTOMETA: Automatic Meta-Analysis System Employing Natural Language Processing.

Studies in health technology and informatics
Meta-analyses examine the results of different clinical studies to determine whether a treatment is effective or not. Meta-analyses provide the gold standard for medical evidence. Despite their importance, meta-analyses are time-consuming and this po...

Representation and Normalization of Complex Interventions for Evidence Computing.

Studies in health technology and informatics
Complex interventions are ubiquitous in healthcare. A lack of computational representations and information extraction solutions for complex interventions hinders accurate and efficient evidence synthesis. In this study, we manually annotated and ana...

Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up.

Studies in health technology and informatics
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follow-up is the failure to identify abnormal results. While EHRs have coded results for certain tests, cancer screening results are often stored in free-t...