AIMC Journal:
Studies in health technology and informatics

Showing 801 to 810 of 1278 articles

Machine Learning for Automatic Encoding of French Electronic Medical Records: Is More Data Better?

Studies in health technology and informatics Jun 16, 2020
The encoding of Electronic Medical Records is a complex and time-consuming task. We report on a machine learning model for proposing diagnoses and procedures codes, from a large realistic dataset of 245 000 electronic medical records at the Universit...
Electronic Health Records Machine Learning
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Machine Learning Assisted Citation Screening for Systematic Reviews.

Studies in health technology and informatics Jun 16, 2020
Evidence-based practice is highly dependent upon up-to-date systematic reviews (SR) for decision making. However, conducting and updating systematic reviews, especially the citation screening for identification of relevant studies, requires much huma...
Machine Learning Mass Screening Research Humans
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Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution.

Studies in health technology and informatics Jun 16, 2020
Acronyms frequently occur in clinical text, which makes their identification, disambiguation and resolution an important task in clinical natural language processing. This paper contributes to acronym resolution in Spanish through the creation of a s...
PubMed Humans Artificial Intelligence Language Abbreviations as Topic Natural Language Processing
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Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth.

Studies in health technology and informatics Jun 16, 2020
In this paper, we present and discuss two new measures of inter- and intra-rater agreement to assess the reliability of the raters, and hence of their labeling, in multi-rater setings, which are common in the production of ground truth for machine le...
Radiologists Humans Observer Variation Machine Learning Information Storage and Retrieval Reproducibility of Results Electronic Health Records Radiology
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H-Accuracy, an Alternative Metric to Assess Classification Models in Medicine.

Studies in health technology and informatics Jun 16, 2020
As widely known, regular accuracy is a misleading and shallow indicator of the performance of a predictive model, especially in real-life domains like medicine, where decisions affect health or life. In this paper we present and discuss a new accurac...
Humans Data Accuracy Classification Artificial Intelligence Medicine
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Evaluation of Document Retrieval Systems on a Medical Corpus in French: Indexation vs. Feature Learning.

Studies in health technology and informatics Jun 16, 2020
This paper presents five document retrieval systems for a small (few thousands) and domain specific corpora (weekly peer-reviewed medical journals published in French) as well as an evaluation methodology to quantify the models performance. The propo...
Medical Subject Headings Information Storage and Retrieval Humans Language Models, Statistical Natural Language Processing
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End-to-End Approach for Structuring Radiology Reports.

Studies in health technology and informatics Jun 16, 2020
Radiology reports include various types of clinical information that are used for patient care. Reports are also expected to have secondary uses (e.g., clinical research and the development of decision support systems). For secondary use, it is neces...
Research Report Radiology Information Systems Radiology Neural Networks, Computer Software Humans Writing Natural Language Processing
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Emerging Concepts and Applied Machine Learning Research in Patients with Drug-Induced Repolarization Disorders.

Studies in health technology and informatics Jun 16, 2020
The paper presents a review of current research to develop predictive models for automated detection of drug-induced repolarization disorders and shows a feasibility study for developing machine learning tools trained on massive multimodal datasets o...
Electrocardiography Long QT Syndrome Humans Machine Learning Torsades de Pointes Death, Sudden, Cardiac
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Digitalisation of the Brief Visuospatial Memory Test-Revised and Evaluation with a Machine Learning Algorithm.

Studies in health technology and informatics Jun 16, 2020
The disease multiple sclerosis (MS) is characterized by various neurological symptoms. This paper deals with a novel tool to assess cognitive dysfunction. The Brief Visuospatial Memory Test-Revised (BVMT-R) is a recognized method to measure optical r...
Machine Learning Memory Algorithms Reproducibility of Results Neuropsychological Tests Humans
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Detection of Muscle Weakness in Medical Texts Using Natural Language Processing.

Studies in health technology and informatics Jun 16, 2020
Identifying adverse events in clinical documents is demanded in retrospective clinical research and prospective monitoring of treatment safety and cost-effectiveness. We proposed and evaluated a few methods of semi-automated muscle weakness detection...
Prospective Studies Retrospective Studies Humans Paresis Muscle Weakness Electronic Health Records Natural Language Processing
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