AIMC Topic: Vital Signs

Clear Filters Showing 21 to 30 of 92 articles

Prediction of serious outcomes based on continuous vital sign monitoring of high-risk patients.

Computers in biology and medicine May 18, 2022
Continuous monitoring of high-risk patients and early prediction of severe outcomes is crucial to prevent avoidable deaths. Current clinical monitoring is primarily based on intermittent observation of vital signs and the early warning scores (EWS). ...
Vital Signs Oximetry Humans ROC Curve Area Under Curve Machine Learning
View on PubMed DOI

Camera fusion for real-time temperature monitoring of neonates using deep learning.

Medical & biological engineering & computing May 3, 2022
The continuous monitoring of vital signs is a crucial aspect of medical care in neonatal intensive care units. Since cable-based sensors pose a potential risk for the immature skin of preterm infants, unobtrusive monitoring techniques using camera sy...
Humans Infant, Newborn Infant, Premature Temperature Vital Signs Infant Thermography Deep Learning
View on PubMed DOI

Development and External Validation of a Machine Learning Model for Prediction of Potential Transfer to the PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Apr 21, 2022
OBJECTIVES: Unrecognized clinical deterioration during illness requiring hospitalization is associated with high risk of mortality and long-term morbidity among children. Our objective was to develop and externally validate machine learning algorithm...
Machine Learning Retrospective Studies Electronic Health Records Humans Intensive Care Units, Pediatric Vital Signs Cohort Studies Child
View on PubMed DOI

Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset.

Scientific reports Apr 5, 2022
The objective of this work is to develop a fusion artificial intelligence (AI) model that combines patient electronic medical record (EMR) and physiological sensor data to accurately predict early risk of sepsis. The fusion AI model has two component...
Humans Vital Signs Electronic Health Records Sepsis Artificial Intelligence Machine Learning
View on PubMed DOI

A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases.

Journal of healthcare engineering Nov 1, 2021
Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological advancements in medical science th...
Bayes Theorem Vital Signs Algorithms Support Vector Machine Humans Machine Learning
View on PubMed DOI

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.

Artificial intelligence in medicine Jul 2, 2021
Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-related breathing disorder. It is caused by an increased upper airway resistance during sleep, which determines episodes of partial or complete interruption of airflow. The detection an...
Polysomnography Humans Deep Learning Sleep Vital Signs Sleep Apnea, Obstructive
View on PubMed DOI

Kinematics approach with neural networks for early detection of sepsis (KANNEDS).

BMC medical informatics and decision making May 20, 2021
BACKGROUND: Sepsis is a severe illness that affects millions of people worldwide, and its early detection is critical for effective treatment outcomes. In recent years, researchers have used models to classify positive patients or identify the probab...
Early Diagnosis Vital Signs Biomechanical Phenomena Sepsis Humans Neural Networks, Computer
View on PubMed DOI

Using CNN and HHT to Predict Blood Pressure Level Based on Photoplethysmography and Its Derivatives.

Biosensors Apr 13, 2021
According to the WTO, there were 1.13 billion hypertension patients worldwide in 2015. The WTO encouraged people to check the blood pressure regularly because a large amount of patients do not have any symptoms. However, traditional cuff measurement ...
Blood Pressure Algorithms Humans Atherosclerosis Vital Signs Neural Networks, Computer Hypertension Photoplethysmography
View on PubMed DOI

A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients.

Sensors (Basel, Switzerland) Feb 21, 2021
Infrared thermography for camera-based skin temperature measurement is increasingly used in medical practice, e.g., to detect fevers and infections, such as recently in the COVID-19 pandemic. This contactless method is a promising technology to conti...
Vital Signs Thermography Intensive Care Units Humans Deep Learning
View on PubMed DOI

Physical Features and Vital Signs Predict Serum Albumin and Globulin Concentrations Using Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Feb 1, 2021
OBJECTIVE: Serum protein concentrations are diagnostically and prognostically valuable in cancer and other diseases, but their measurement via blood test is uncomfortable, inconvenient, and costly. This study investigates the possibility of predictin...
Sex Factors Humans Body Height Machine Learning Serum Albumin Serum Globulins Male Vital Signs Middle Aged Predictive Value of Tests China Body Weight Body Mass Index Female Age Factors Adult
View on PubMed DOI
Popular Topics
Recent Journals