AIMC Topic: Electronic Health Records

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Machine Learning-Based Identification of Obesity from Positive and Unlabelled Electronic Health Records.

Studies in health technology and informatics
INTRODUCTION: Prevalence of overweight and obesity are increas- ing in the last decades, and with them, diseases and health conditions such as diabetes, hypertension or cardiovascular diseases. However, hos- pital databases usually do not record such...

Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.

Studies in health technology and informatics
Identifying subtypes of Alzheimer's Disease (AD) can lead towards the creation of personalized interventions and potentially improve outcomes. In this study, we use UK primary care electronic health records (EHR) from the CALIBER resource to identify...

The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.

Studies in health technology and informatics
Recent studies in the biomedical domain suggest that learning statistical word representations (static or contextualized word embeddings) on large corpora of specialized data improve the results on downstream natural language processing (NLP) tasks. ...

Supervised Learning for the ICD-10 Coding of French Clinical Narratives.

Studies in health technology and informatics
Automatic detection of ICD-10 codes in clinical documents has become a necessity. In this article, after a brief reminder of the existing work, we present a corpus of French clinical narratives annotated with the ICD-10 codes. Then, we propose automa...

Negation Detection for Clinical Text Mining in Russian.

Studies in health technology and informatics
Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module ...

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

Studies in health technology and informatics
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...

Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth.

Studies in health technology and informatics
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...

Detection of Muscle Weakness in Medical Texts Using Natural Language Processing.

Studies in health technology and informatics
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...

Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories.

Studies in health technology and informatics
Chronic fatigue syndrome (CFS) is a long-term illness with a wide range of symptoms and condition trajectories. To improve the understanding of these, automated analysis of large amounts of patient data holds promise. Routinely documented assessments...

Clinical Concept Normalization on Medical Records Using Word Embeddings and Heuristics.

Studies in health technology and informatics
Electronic health records contain valuable information on patients' clinical history in the form of free text. Manually analyzing millions of these documents is unfeasible and automatic natural language processing methods are essential for efficientl...