AIMC Topic: Electronic Health Records

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A Semi-Automatic Framework to Identify Abnormal States in EHR Narratives.

Studies in health technology and informatics
Disease ontology, defined as a causal chain of abnormal states, is believed to be a valuable knowledge base in medical information systems. Automatic mapping between electronic health records (EHR) and disease ontology is indispensable for applying d...

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.

Studies in health technology and informatics
In clinical practice, many patients may have unknown or missing values for some predictors, causing that the developed risk models cannot be directly applied on these patients. In this paper, we propose an incremental learning approach to apply a dev...

Aligned-Layer Text Search in Clinical Notes.

Studies in health technology and informatics
Search techniques in clinical text need to make fine-grained semantic distinctions, since medical terms may be negated, about someone other than the patient, or at some time other than the present. While natural language processing (NLP) approaches a...

Detecting Signals of Interactions Between Warfarin and Dietary Supplements in Electronic Health Records.

Studies in health technology and informatics
Drug and supplement interactions (DSIs) have drawn widespread attention due to their potential to affect therapeutic response and adverse event risk. Electronic health records provide a valuable source where the signals of DSIs can be identified and ...

General Symptom Extraction from VA Electronic Medical Notes.

Studies in health technology and informatics
There is need for cataloging signs and symptoms, but not all are documented in structured data. The text from clinical records are an additional source of signs and symptoms. We describe a Natural Language Processing (NLP) technique to identify sympt...

Extracting Sexual Trauma Mentions from Electronic Medical Notes Using Natural Language Processing.

Studies in health technology and informatics
Patient history of sexual trauma is of clinical relevance to healthcare providers as survivors face adverse health-related outcomes. This paper describes a method for identifying mentions of sexual trauma within the free text of electronic medical no...

Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles.

Studies in health technology and informatics
Prior knowledge of the distributional characteristics of linguistic phenomena can be useful for a variety of language processing tasks. This paper describes the distribution of negation in two types of biomedical texts: scientific journal articles an...

MedEx/J: A One-Scan Simple and Fast NLP Tool for Japanese Clinical Texts.

Studies in health technology and informatics
Because of recent replacement of physical documents with electronic medical records (EMR), the importance of information processing in the medical field has increased. In light of this trend, we have been developing MedEx/J, which retrieves important...

Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.

Radiographics : a review publication of the Radiological Society of North America, Inc
A major challenge for radiologists is obtaining meaningful clinical follow-up information for even a small percentage of cases encountered and dictated. Traditional methods, such as keeping medical record number follow-up lists, discussing cases with...

Adaptive Sampling Technique Using Regression Modelling and Fuzzy Inference System for Network Traffic.

Studies in health technology and informatics
Electronic-health relies on extensive computer networks to facilitate access and to communicate various types of information in the form of data packets. To examine the effectiveness of these networks, the traffic parameters need to be analysed. Due ...