AIMC Topic: Electronic Health Records
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Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network With Conditional Random Field.
IEEE transactions on nanobioscience
Apr 1, 2019
Clinical named entity recognition (CNER) is a fundamental and crucial task for clinical and translation research. In recent years, deep learning methods have achieved significant success in CNER tasks. However, these methods depend greatly on recurre...
Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system.
BMJ open
Apr 1, 2019
OBJECTIVE: Routinely collected healthcare data are a powerful research resource but often lack detailed disease-specific information that is collected in clinical free text, for example, clinic letters. We aim to use natural language processing techn...
QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research.
BMC medical informatics and decision making
Apr 1, 2019
BACKGROUND: While doctors should analyze a large amount of electronic medical record (EMR) data to conduct clinical research, the analyzing process requires information technology (IT) skills, which is difficult for most doctors in China.
Feature-weighted survival learning machine for COPD failure prediction.
Artificial intelligence in medicine
Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Machine Learning
Proportional Hazards Models
Biomarkers
Humans
Sex Factors
Aged, 80 and over
Patient Readmission
Canada
Pulmonary Disease, Chronic Obstructive
Survival Analysis
Male
Age Factors
Predictive Value of Tests
Female
Time Factors
Middle Aged
Hospitalization
Risk Factors
Prognosis
ROC Curve
Severity of Illness Index
Aged
Retrospective Studies
Electronic Health Records
The day when computers read between lines.
Japanese journal of radiology
Mar 25, 2019
There is a growing notion that artificial general intelligence (AGI) will replace some of the work done by trained professionals, including physicians. This idea, however, seems to have logical leap; herein, we discuss three problems that are signifi...
Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records.
Computational and mathematical methods in medicine
Mar 20, 2019
Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic prep...
LSTM Model for Prediction of Heart Failure in Big Data.
Journal of medical systems
Mar 19, 2019
The combination of big data and deep learning is a world-shattering technology that can make a great impact on any industry if used in a proper way. With the availability of large volume of health care datasets and progressions in deep learning techn...
Leveraging Electronic Dental Record Data to Classify Patients Based on Their Smoking Intensity.
Methods of information in medicine
Mar 15, 2019
BACKGROUND: Smoking is an established risk factor for oral diseases and, therefore, dental clinicians routinely assess and record their patients' detailed smoking status. Researchers have successfully extracted smoking history from electronic health ...
Automatically identifying social isolation from clinical narratives for patients with prostate Cancer.
BMC medical informatics and decision making
Mar 14, 2019
BACKGROUND: Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in electronic health records (EHR). H...
Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database.
PloS one
Mar 13, 2019
BACKGROUND: Intelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The application of DNNs to large-scale data fo...
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