AIMC Topic: Electronic Health Records

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A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.

BMC medical informatics and decision making Sep 9, 2019
BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports performed in routine clinical pr...
Adult Male Middle Aged Female Aged Young Adult Stroke United Kingdom State Medicine Neuroimaging Cohort Studies Natural Language Processing Radiology Algorithms Electronic Health Records Humans
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Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Neural networks : the official journal of the International Neural Network Society Sep 6, 2019
Neural networks (NNs) have become the state of the art in many machine learning applications, such as image, sound (LeCun et al., 2015) and natural language processing (Young et al., 2017; Linggard et al., 2012). However, the success of NNs remains d...
Humans Machine Learning Data Collection Neural Networks, Computer Electronic Health Records Natural Language Processing
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Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.

Computer methods and programs in biomedicine Aug 27, 2019
OBJECTIVE: Diabetes is responsible for considerable morbidity, healthcare utilisation and mortality in both developed and developing countries. Currently, methods of treating diabetes are inadequate and costly so prevention becomes an important step ...
Deep Learning Humans Diabetes Mellitus, Type 2 Machine Learning Electronic Health Records
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Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network.

Journal of biomedical informatics Aug 24, 2019
OBJECTIVE: The aim of this study is to analyze and visualize blood pressure (BP) patterns during continuous hemodialysis (HD) sessions, referred to as multiple-session patterns (MSPs), and explore whether deep learning models with MSPs have better pe...
Male Middle Aged Deep Learning Neural Networks, Computer Pattern Recognition, Automated Blood Pressure Aged, 80 and over Prognosis Systole Kidney Failure, Chronic Young Adult Electronic Health Records Adult Nonlinear Dynamics Female Medical Informatics Humans Reproducibility of Results Renal Dialysis Aged Adolescent Blood Pressure Determination
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Use of machine learning to analyse routinely collected intensive care unit data: a systematic review.

Critical care (London, England) Aug 22, 2019
BACKGROUND: Intensive care units (ICUs) face financial, bed management, and staffing constraints. Detailed data covering all aspects of patients' journeys into and through intensive care are now collected and stored in electronic health records: mach...
Data Analysis Intensive Care Units Humans Machine Learning Male Electronic Health Records Female Adult
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CCMapper: An adaptive NLP-based free-text chief complaint mapping algorithm.

Computers in biology and medicine Aug 21, 2019
OBJECTIVE: Chief complaint (CC) is among the earliest health information recorded at the beginning of a patient's visit to an emergency department (ED). We propose a heuristic methodology for automatically mapping the free-text data into a structured...
Natural Language Processing Emergency Service, Hospital Health Records, Personal Algorithms Electronic Health Records Hospitalization Humans
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Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.

BMC medical informatics and decision making Aug 19, 2019
BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification o...
Decision Support Systems, Clinical Emergency Service, Hospital International Classification of Diseases Male Case-Control Studies Deep Learning Humans Neural Networks, Computer Mental Disorders Adult Sensitivity and Specificity Electronic Health Records Female
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ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU.

Journal of biomedical informatics Aug 17, 2019
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also ...
Area Under Curve Critical Care Medical Informatics Machine Learning Deep Learning Algorithms Hospital Mortality Retrospective Studies Humans ROC Curve Reproducibility of Results Intensive Care Units Neural Networks, Computer Sensitivity and Specificity Electronic Health Records
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A Year of Papers Using Biomedical Texts: Findings from the Section on Natural Language Processing of the IMIA Yearbook.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVES: To analyze the content of publications within the medical Natural Language Processing (NLP) domain in 2018.
Natural Language Processing Diagnostic Imaging Humans Electronic Health Records Image Processing, Computer-Assisted
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Clinical Information Systems and Artificial Intelligence: Recent Research Trends.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVES: This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI)...
Artificial Intelligence Electronic Health Records Health Information Systems Decision Support Systems, Clinical Information Systems Hospital Information Systems
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