AIMC Topic: Time Factors

Clear Filters Showing 1591 to 1600 of 2001 articles

Robotic retroperitoneal lymph node dissection in gynaecological neoplasms: comparison of extraperitoneal and transperitoneal lymphadenectomy.

Archives of gynecology and obstetrics
OBJECTIVE: The main aim of our study is to review the till now available literature data on the role of robotic retroperitoneal lymph node dissection in gynaecological cancers by comparing the extraperitoneal versus the transperitoneal approach.

ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster.

TheScientificWorldJournal
The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection s...

Is peri-operative urethral catheter drainage enough? The case for stentless pediatric robotic pyeloplasty.

Journal of pediatric urology
BACKGROUND: The necessity for urinary diversion with trans-anastomotic ureteral stenting during pyeloplasty is currently under debate. Performing a stentless repair could eliminate stent-related morbidity, including: stent migration, urinary tract in...

The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Techniques in coloproctology
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal...

Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay.

Neural networks : the official journal of the International Neural Network Society
This paper deals with the finite-time boundedness and stabilization problem for a class of switched neural networks with time-varying delay and parametric uncertainties. Based on Lyapunov-like function method and average dwell time technique, some su...

Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease.

Brain stimulation
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic region is an established therapy for advanced Parkinson's disease (PD). However, patients often require time-intensive post-operative management to balance their coupled stimulation and medi...

Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses.

IEEE transactions on neural networks and learning systems
Synchronization of an array of linearly coupled memristor-based recurrent neural networks with impulses and time-varying delays is investigated in this brief. Based on the Lyapunov function method, an extended Halanay differential inequality and a ne...

A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time.

Applied clinical informatics
OBJECTIVE: To save time, healthcare providers frequently use abbreviations while authoring clinical documents. Nevertheless, abbreviations that authors deem unambiguous often confuse other readers, including clinicians, patients, and natural language...

Signatures of infinity: Nonergodicity and resource scaling in prediction, complexity, and learning.

Physical review. E, Statistical, nonlinear, and soft matter physics
We introduce a simple analysis of the structural complexity of infinite-memory processes built from random samples of stationary, ergodic finite-memory component processes. Such processes are familiar from the well known multiarm Bandit problem. We c...