AIMC Journal:
BioMed research international

Showing 171 to 180 of 314 articles

Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis.

BioMed research international Mar 21, 2020
BACKGROUND: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain in people with spinal cord injury (SCI). . Four electronic databases (PubMed, Scopus, Medline, and Cochrane Central Register of Controlled Trials) we...
Robotics Walking Gait Spinal Cord Injuries Muscle Spasticity Non-Randomized Controlled Trials as Topic Humans Lower Extremity Pain Muscle Strength Outcome Assessment, Health Care Randomized Controlled Trials as Topic
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Tabu Search and Machine-Learning Classification of Benign and Malignant Proliferative Breast Lesions.

BioMed research international Feb 27, 2020
Breast cancer is the most diagnosed cancer among women around the world. The development of computer-aided diagnosis tools is essential to help pathologists to accurately interpret and discriminate between malignant and benign tumors. This paper prop...
Neoplasms Diagnosis, Computer-Assisted Algorithms Cell Proliferation Female Humans Breast Neoplasms Breast Machine Learning Image Interpretation, Computer-Assisted Fibrocystic Breast Disease
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Prediction of Side Effects Using Comprehensive Similarity Measures.

BioMed research international Feb 27, 2020
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical industry. The existing side effect prediction methods mainly focus on the chemical and biological properties of drugs. This study proposes a method th...
Sitagliptin Phosphate Vorinostat Clonidine Area Under Curve Drug Interactions Drug-Related Side Effects and Adverse Reactions Dasatinib Polymorphism, Single Nucleotide Drug Repositioning Humans Machine Learning
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Exploring the Consistency of the Quality Scores with Machine Learning for Next-Generation Sequencing Experiments.

BioMed research international Feb 25, 2020
BACKGROUND: Next-generation sequencing enables massively parallel processing, allowing lower cost than the other sequencing technologies. In the subsequent analysis with the NGS data, one of the major concerns is the reliability of variant calls. Alt...
Linear Models Base Sequence Genome, Human Reproducibility of Results Computational Biology Humans Machine Learning High-Throughput Nucleotide Sequencing Software Algorithms
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Machine Learning Analysis of Image Data Based on Detailed MR Image Reports for Nasopharyngeal Carcinoma Prognosis.

BioMed research international Feb 21, 2020
We aimed to assess the use of automatic machine learning (AutoML) algorithm based on magnetic resonance (MR) image data to assign prediction scores to patients with nasopharyngeal carcinoma (NPC). We also aimed to develop a 4-group classification sys...
Prognosis Retrospective Studies Female Adult Humans Machine Learning Nasopharyngeal Neoplasms Nasopharynx Neoplasm Staging Image Interpretation, Computer-Assisted Nasopharyngeal Carcinoma Male Middle Aged Magnetic Resonance Imaging
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Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.

BioMed research international Feb 18, 2020
The adaptability of heart to external and internal stimuli is reflected by the heart rate variability (HRV). Reduced HRV can be a predictor of negative cardiovascular outcomes. Based on the nonlinear, nonstationary, and highly complex dynamics of the...
Heart Rate Humans Sensitivity and Specificity Machine Learning Support Vector Machine Algorithms ROC Curve Models, Statistical Heart Failure
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Microbial Decolorization of Triazo Dye, Direct Blue 71: An Optimization Approach Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN).

BioMed research international Feb 18, 2020
The release of wastewater from textile dyeing industrial sectors is a huge concern with regard to pollution as the treatment of these waters is truly a challenging process. Hence, this study investigates the triazo bond Direct Blue 71 (DB71) dye deco...
Neural Networks, Computer Bacteria Biodegradation, Environmental Azo Compounds Metagenomics Water Decolorization Carbon Nitrogen Hydrogen-Ion Concentration
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Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.

BioMed research international Jan 10, 2020
Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. Several research studies have recently shown the potential of different ncRNAs as biomarkers for prognostics and diagnosis in different types of cancer...
ROC Curve Humans Biomarkers, Tumor Gene Regulatory Networks Machine Learning RNA, Long Noncoding Databases, Genetic Gene Expression Profiling Female Endometrial Neoplasms Transcriptome
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Convolutional Neural Network for Breast and Thyroid Nodules Diagnosis in Ultrasound Imaging.

BioMed research international Jan 10, 2020
OBJECTIVE: The incidence of superficial organ diseases has increased rapidly in recent years. New methods such as computer-aided diagnosis (CAD) are widely used to improve diagnostic efficiency. Convolutional neural networks (CNNs) are one of the mos...
Thyroid Nodule Image Processing, Computer-Assisted Neural Networks, Computer Humans Female Breast Neoplasms Ultrasonography
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Particle Swarm Optimized Hybrid Kernel-Based Multiclass Support Vector Machine for Microarray Cancer Data Analysis.

BioMed research international Dec 14, 2019
Determining an optimal decision model is an important but difficult combinatorial task in imbalanced microarray-based cancer classification. Though the multiclass support vector machine (MCSVM) has already made an important contribution in this field...
Principal Component Analysis Neoplasms Linear Models Humans Data Analysis Support Vector Machine Microarray Analysis Algorithms Models, Statistical
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