AIMC Topic: Vital Signs

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EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

BMC medical informatics and decision making Nov 15, 2019
BACKGROUND: Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In current practice, this da...
Stroke Volume Natural Language Processing Glycated Hemoglobin Creatinine Information Storage and Retrieval Vital Signs Humans Algorithms Electronic Health Records Sensitivity and Specificity
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Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Early Diagnosis Analysis of Variance Vital Signs Algorithms Intensive Care Units Young Adult Humans Support Vector Machine Diagnosis, Computer-Assisted Adult Area Under Curve Female Machine Learning Sepsis Male Aged Software Models, Biological Adolescent Middle Aged Aged, 80 and over Case-Control Studies
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Machine learning for prediction of septic shock at initial triage in emergency department.

Journal of critical care Oct 22, 2019
BACKGROUND: We hypothesized utilizing machine learning (ML) algorithms for screening septic shock in ED would provide better accuracy than qSOFA or MEWS.
Prognosis Electronic Health Records Republic of Korea Female Aged Young Adult Humans Machine Learning Software Algorithms Multivariate Analysis Vital Signs Shock, Septic Support Vector Machine Triage Area Under Curve Adult Emergency Service, Hospital Male Middle Aged Sepsis Hospital Mortality
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Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Heart Failure Early Diagnosis Smoking Alcohol Drinking California Incidence Time Factors Primary Health Care Longitudinal Studies Predictive Value of Tests Humans Neural Networks, Computer Machine Learning Vital Signs Risk Factors Male Diagnosis, Computer-Assisted Electronic Health Records Female Reproducibility of Results
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Combining patient visual timelines with deep learning to predict mortality.

PloS one Jul 31, 2019
BACKGROUND: Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health records is inherently in a non-image format. Therefore, creating visual representati...
Hospitalization Male Middle Aged Deep Learning Hospital Mortality ROC Curve Patient Admission Vital Signs Machine Learning Retrospective Studies Intensive Care Units Electronic Health Records Female Humans Neural Networks, Computer
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An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Monitoring, Ambulatory APACHE Multivariate Analysis Vital Signs Normal Distribution Case-Control Studies Sepsis Adolescent Incidence Decision Trees Heart Arrest Algorithms Electronic Health Records Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Humans Machine Learning
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Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.

Computers in biology and medicine Apr 24, 2019
OBJECTIVE: Sepsis remains a costly and prevalent syndrome in hospitals; however, machine learning systems can increase timely sepsis detection using electronic health records. This study validates a gradient boosted ensemble machine learning tool for...
Sepsis Adolescent Vital Signs Adult Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Humans Electronic Health Records Female Machine Learning Aged Databases, Factual Intensive Care Units
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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Humans Machine Learning Female Predictive Value of Tests Influenza, Human Vital Signs Male Clinical Decision Rules Middle Aged Adolescent Child Mass Screening Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity
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Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks.

IEEE transactions on bio-medical engineering Oct 8, 2018
Missing data is a ubiquitous problem. It is especially challenging in medical settings because many streams of measurements are collected at different-and often irregular-times. Accurate estimation of the missing measurements is critical for many rea...
Medical Informatics Humans Vital Signs Neural Networks, Computer Algorithms Databases, Factual
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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.

BMC emergency medicine Jul 3, 2018
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algor...
Racial Groups Decision Support Systems, Clinical Risk Factors Humans Male Machine Learning Age Factors Middle Aged Electronic Health Records Emergency Service, Hospital Severity of Illness Index Female Documentation Time Factors Reproducibility of Results Vital Signs
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