AIMC Topic: Hypotension

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Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension.

Sensors (Basel, Switzerland) Aug 14, 2020
Hypotensive events in the initial stage of anesthesia can cause serious complications in the patients after surgery, which could be fatal. In this study, we intended to predict hypotension after tracheal intubation using machine learning and deep lea...
Humans Neural Networks, Computer Male Middle Aged Deep Learning Hypotension Intubation, Intratracheal Machine Learning Algorithms Female Aged Adult
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Recurrent probabilistic neural network-based short-term prediction for acute hypotension and ventricular fibrillation.

Scientific reports Jul 20, 2020
In this paper, we propose a novel method for predicting acute clinical deterioration triggered by hypotension, ventricular fibrillation, and an undiagnosed multiple disease condition using biological signals, such as heart rate, RR interval, and bloo...
Probability Databases as Topic Ventricular Fibrillation Humans Blood Pressure Neural Networks, Computer Acute Disease Time Factors Hypotension Heart Rate
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Humans Neural Networks, Computer Machine Learning Drug Delivery Systems Male Middle Aged Risk Assessment Monitoring, Intraoperative Retrospective Studies Electronic Health Records Female Aged Adult Intubation, Intratracheal Hypotension Cholecystectomy, Laparoscopic Arterial Pressure ROC Curve Models, Cardiovascular Anesthesia, General Anesthetics Bayes Theorem Feasibility Studies
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A machine-learning approach to predicting hypotensive events in ICU settings.

Computers in biology and medicine Jan 24, 2020
BACKGROUND: Predicting hypotension well in advance provides physicians with enough time to respond with proper therapeutic measures. However, the real-time prediction of hypotension with high positive predictive value (PPV) is a challenge. This is du...
Predictive Value of Tests Humans Hypotension Machine Learning Algorithms Intensive Care Units
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The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial.

Trials Oct 11, 2019
BACKGROUND: Intraoperative hypotension is associated with increased morbidity and mortality. Current treatment is mostly reactive. The Hypotension Prediction Index (HPI) algorithm is able to predict hypotension minutes before the blood pressure actua...
Surgical Procedures, Operative Arterial Pressure Randomized Controlled Trials as Topic Predictive Value of Tests Hypotension Netherlands Decision Support Techniques Prospective Studies Risk Factors Risk Assessment Time Factors Monitoring, Intraoperative Blood Pressure Determination Treatment Outcome Intraoperative Period Humans Machine Learning
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Investigating a Needle-Based Epidural Procedure in Obstetric Anesthesia.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
This study investigates the safety and efficacy of a large-dose, needle-based epidural technique in obstetric anesthesia. The technique differs from a standard, catheter-based approach in that the anesthetic dose is administered through an epidural n...
Anesthesia, Epidural Anesthetics, Local Humans Machine Learning Needles Workflow Pregnancy Task Performance and Analysis Analgesia, Obstetrical Female Hypotension Anesthesia, Obstetrical
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Forewarning of hypotensive events using a Bayesian artificial neural network in neurocritical care.

Journal of clinical monitoring and computing May 24, 2018
Traumatically brain injured (TBI) patients are at risk from secondary insults. Arterial hypotension, critically low blood pressure, is one of the most dangerous secondary insults and is related to poor outcome in patients. The overall aim of this stu...
Humans Hypotension Area Under Curve Critical Care Young Adult Sample Size False Positive Reactions Prospective Studies Adult Bayes Theorem Diagnosis, Computer-Assisted Intensive Care Units Signal Processing, Computer-Assisted Sensitivity and Specificity Neural Networks, Computer Pilot Projects Female Male Machine Learning Adolescent Aged Middle Aged Software Brain Injuries, Traumatic Aged, 80 and over Databases, Factual Brain Injuries
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A functional supervised learning approach to the study of blood pressure data.

Statistics in medicine Dec 20, 2017
In this work, a functional supervised learning scheme is proposed for the classification of subjects into normotensive and hypertensive groups, using solely the 24-hour blood pressure data, relying on the concepts of Fréchet mean and Fréchet variance...
Hypertension Blood Pressure Determination Models, Statistical Blood Pressure Supervised Machine Learning Hypotension Humans Nonlinear Dynamics Algorithms Biometry Databases, Factual
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Impairment of Thyroid Function in Critically Ill Patients in the Intensive Care Units.

The American journal of the medical sciences Jul 1, 2017
Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardiorespiratory failure, sepsis, or relative adrenal insufficiency. In these acute conditions, thyroid hormone levels measured in blood, serum or plasma ...
Thyroid Function Tests Humans Thyroxine Critical Illness Middle Aged Hypotension Shock Intensive Care Units Respiration, Artificial Vasoconstrictor Agents Female Hypothyroidism Respiratory Insufficiency Aged Thyrotropin Male
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Minimum effective fluid volume of colloid to prevent hypotension during caesarean section under spinal anesthesia using a prophylactic phenylephrine infusion: An up-down sequential allocation study.

Journal of clinical anesthesia Dec 5, 2016
STUDY OBJECTIVE: The aim of this study was to de termine the minimum effective fluid volume (MEFV) of hydroxyethyl starch 130/0.4 (HES) infused in a preload fashion which would prevent hypotension in 50% of parturients undergoing caesarean section. A...
Phenylephrine Hydroxyethyl Starch Derivatives Hypotension Vasoconstrictor Agents Cardiac Output Parity Anesthesia, Obstetrical Pregnancy Outcome Double-Blind Method Fluid Therapy Humans Anesthesia, Spinal Pregnancy Female Cesarean Section
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