AIMC Topic: Vital Signs

Clear Filters Showing 91 to 96 of 96 articles

Using Supervised Machine Learning to Classify Real Alerts and Artifact in Online Multisignal Vital Sign Monitoring Data.

Critical care medicine Jul 1, 2016
OBJECTIVE: The use of machine-learning algorithms to classify alerts as real or artifacts in online noninvasive vital sign data streams to reduce alarm fatigue and missed true instability.
Supervised Machine Learning Heart Rate Blood Pressure Determination Monitoring, Physiologic Respiratory Rate Clinical Alarms Oximetry Artifacts Humans Cohort Studies Vital Signs
View on PubMed DOI

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.

Critical care medicine Feb 1, 2016
OBJECTIVE: Machine learning methods are flexible prediction algorithms that may be more accurate than conventional regression. We compared the accuracy of different techniques for detecting clinical deterioration on the wards in a large, multicenter ...
Risk Assessment Cohort Studies Machine Learning Intensive Care Units Logistic Models Socioeconomic Factors Support Vector Machine Time Factors ROC Curve Humans Neural Networks, Computer Survival Analysis Vital Signs Heart Arrest Diagnostic Techniques and Procedures Age Factors Models, Statistical
View on PubMed DOI

Extraction of Vital Signs from Clinical Notes.

Studies in health technology and informatics Jan 1, 2015
Assessment of vital signs is an essential part of surveillance of critically ill patients to detect condition changes and clinical deterioration. While most modern electronic medical records allow for vitals to be recorded in a structured format, the...
Vital Signs Decision Support Systems, Clinical Hospitals, Veterans United States Natural Language Processing Vocabulary, Controlled Software Semantics Humans Physical Examination Data Mining Electronic Health Records Biological Ontologies Machine Learning
View on PubMed

A Baseline Patient Model to Support Testing of Medical Cyber-Physical Systems.

Studies in health technology and informatics Jan 1, 2015
Medical Cyber-Physical Systems (MCPS) are currently a trending topic of research. The main challenges are related to the integration and interoperability of connected medical devices, patient safety, physiologic closed-loop control, and the verificat...
Patient-Specific Modeling Data Mining Vital Signs Natural Language Processing Humans Models, Biological Computer Simulation Electronic Health Records
View on PubMed

A personalized health-monitoring system for elderly by combining rules and case-based reasoning.

Studies in health technology and informatics Jan 1, 2015
Health-monitoring system for elderly in home environment is a promising solution to provide efficient medical services that increasingly interest by the researchers within this area. It is often more challenging when the system is self-served and fun...
Humans Artificial Intelligence Aged Independent Living Wireless Technology Monitoring, Ambulatory Vital Signs Decision Making, Computer-Assisted Aged, 80 and over Geriatric Assessment
View on PubMed

Secondary triage classification using an ensemble random forest technique.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Triage of patients in the emergency department is a complex task based on several uncertainties and ambiguous information. Triage must be implemented within two to five minutes to avoid potential fatality and increased waiting time.
Emergency Service, Hospital Vital Signs Malaysia Triage Support Vector Machine Age Factors Humans Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals