AIMC Journal:
BioMed research international

Showing 191 to 200 of 314 articles

Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals.

BioMed research international Jul 7, 2019
Discovering the concealed patterns of Electroencephalogram (EEG) signals is a crucial part in efficient detection of epileptic seizures. This study develops a new scheme based on Douglas-Peucker algorithm (DP) and principal component analysis (PCA) f...
Signal Processing, Computer-Assisted Male Support Vector Machine Humans Electroencephalography Databases, Factual Epilepsy Female
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Automated Ventricular System Segmentation in Paediatric Patients Treated for Hydrocephalus Using Deep Learning Methods.

BioMed research international Jul 7, 2019
Hydrocephalus is a common neurological condition that can have traumatic ramifications and can be lethal without treatment. Nowadays, during therapy radiologists have to spend a vast amount of time assessing the volume of cerebrospinal fluid (CSF) by...
Child, Preschool Child Imaging, Three-Dimensional Humans Hydrocephalus Infant Neural Networks, Computer Deep Learning Tomography, X-Ray Computed Adolescent Female Infant, Newborn Male
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Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network.

BioMed research international Jun 9, 2019
OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Accurate segmentation of DVT is important to facilitate the diagnosis and treatment. In the current study, we proposed a fully automatic method of DVT de...
Aged Aged, 80 and over Adult Lower Extremity Male Thrombosis Humans Middle Aged Automation Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Venous Thrombosis Female
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Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Strain NS-MIE from Agricultural Soil.

BioMed research international May 26, 2019
Numerous technologies and approaches have been used in the past few decades to remove hexavalent chromium (Cr[VI]) in wastewater and the environment. However, these conventional technologies are not economical and efficient in removing Cr(VI) at a ve...
Soil Phylogeny Agriculture Soil Pollutants Chromium Biodegradation, Environmental Analysis of Variance Neural Networks, Computer Acinetobacter
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Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model.

BioMed research international May 13, 2019
Today, it has become a hot issue in cancer research to make precise prognostic prediction for breast cancer patients, which can not only effectively avoid overtreatment and medical resources waste, but also provide scientific basis to help medical st...
Transcriptome Algorithms Gene Expression Regulation, Neoplastic Female Humans Databases, Nucleic Acid Breast Neoplasms Neural Networks, Computer Gene Expression Profiling
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Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BioMed research international Apr 15, 2019
BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. Studies have focused on the readmission frequency analysis stratified by disease and demographic/geographic characteristics but there are no predictive ...
Predictive Value of Tests Patient Discharge Models, Biological Patient Readmission Child Humans ROC Curve Machine Learning Support Vector Machine Female Risk Factors Male
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Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules.

BioMed research international Apr 14, 2019
The arterioles and venules (AV) classification of retinal vasculature is considered as the first step in the development of an automated system for analysing the vasculature biomarker association with disease prognosis. Most of the existing AV classi...
Venules Humans Neural Networks, Computer Algorithms Biomarkers Deep Learning Retinal Vessels Arterioles
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Improving Outcomes Defending Patient Safety: The Learning Journey in Robotic Liver Resections.

BioMed research international Apr 8, 2019
BACKGROUND: While laparoscopy is currently adopted for hepatic resections, robotic approaches to the liver have not gained wide acceptance. We decided to analyze the learning curve in the field of robotic liver surgery comparing short-term outcomes b...
Retrospective Studies Female Male Surgeons Humans Patient Safety Blood Loss, Surgical Liver Operative Time Robotics Middle Aged Postoperative Complications Length of Stay Liver Neoplasms Learning Curve Laparoscopy Robotic Surgical Procedures Hepatectomy
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EMG Muscle Activation Pattern of Four Lower Extremity Muscles during Stair Climbing, Motor Imagery, and Robot-Assisted Stepping: A Cross-Sectional Study in Healthy Individuals.

BioMed research international Mar 25, 2019
BACKGROUND: Stair climbing can be a challenging part of daily life and a limiting factor for social participation, in particular for patients after stroke. In order to promote motor relearning of stair climbing, different therapeutical measures can b...
Walking Physical Therapy Modalities Stair Climbing Cross-Sectional Studies Male Middle Aged Humans Lower Extremity Female Quadriceps Muscle Aged Robotics Electromyography
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The Role of a Decision Support System in Back Pain Diagnoses: A Pilot Study.

BioMed research international Mar 25, 2019
It is the main goal of this study to investigate the concordance of a decision support system and the recommendation of spinal surgeons regarding back pain. 111 patients had to complete the decision support system. Furthermore, their illness was diag...
Humans Clinical Decision-Making Female Aged Diagnosis, Computer-Assisted Aged, 80 and over Pilot Projects Adult Expert Systems Male Back Pain Middle Aged
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