AIMC Journal:
Computer methods and programs in biomedicine

Showing 661 to 670 of 863 articles

Analysis of parameters affecting blood oxygen saturation and modeling of fuzzy logic system for inspired oxygen prediction.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: Fraction of Inspired Oxygen is one of the arbitrary set ventilator parameters which has critical influence on the concentration of blood oxygen. Normally mechanical ventilators providing respiratory assistance are tuned manu...
Fuzzy Logic Decision Making Oxygen Critical Care Humans Software Machine Learning Therapy, Computer-Assisted Intensive Care Units Reproducibility of Results Pulmonary Gas Exchange Respiration, Artificial Oximetry Decision Support Systems, Clinical
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An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: Automatic extraction of adverse drug effect (ADE) mentions from biomedical texts is a challenging research problem that has attracted significant attention from the pharmacovigilance and biomedical text mining communities. I...
Pharmacovigilance Semantics Reproducibility of Results Publications Drug-Related Side Effects and Adverse Reactions Data Mining Machine Learning Humans Software Neural Networks, Computer Algorithms Databases, Factual
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MLSeq: Machine learning interface for RNA-sequencing data.

Computer methods and programs in biomedicine Apr 29, 2019
BACKGROUND AND OBJECTIVE: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data....
Machine Learning Software Algorithms Gene Expression Profiling Sequence Analysis, RNA Humans Programming Languages Support Vector Machine Linear Models Poisson Distribution Discriminant Analysis RNA
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A novel ECG signal compression method using spindle convolutional auto-encoder.

Computer methods and programs in biomedicine Apr 17, 2019
BACKGROUND AND OBJECTIVES: With rapid development of telehealth system and cloud platform, traditional 12-ECG signals with high resolution generate heavy burdens in data storage and transmission. This problem is increasingly addressed with various EC...
Deep Learning Humans Electrocardiography Telemedicine Models, Statistical Software Signal Processing, Computer-Assisted Stochastic Processes Algorithms Data Compression
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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Bayes Theorem Databases, Factual Registries Humans ROC Curve Prognosis Linear Models Machine Learning Treatment Outcome Acetaminophen Retrospective Studies Predictive Value of Tests Liver Failure, Acute Female Area Under Curve
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Area Under Curve Bayes Theorem Discriminant Analysis Colonic Neoplasms Risk Support Vector Machine Models, Statistical Regression Analysis Decision Trees Normal Distribution Oncogenes Tissue Array Analysis Humans Neural Networks, Computer Machine Learning Sensitivity and Specificity Colon Gene Expression Profiling Logistic Models
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A dense multi-path decoder for tissue segmentation in histopathology images.

Computer methods and programs in biomedicine Mar 14, 2019
BACKGROUND AND OBJECTIVE: Segmenting different tissue components in histopathological images is of great importance for analyzing tissues and tumor environments. In recent years, an encoder-decoder family of convolutional neural networks has increasi...
Female Reproducibility of Results Male ROC Curve Image Processing, Computer-Assisted Area Under Curve Prostate Breast Epithelium Pattern Recognition, Automated Humans Histology Neural Networks, Computer Software Algorithms
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Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.

Computer methods and programs in biomedicine Mar 13, 2019
BACKGROUND AND OBJECTIVES: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting a...
Nonlinear Dynamics Pattern Recognition, Automated Handwriting Algorithms Tremor Female Deep Learning Reproducibility of Results Humans Aged, 80 and over Models, Theoretical Aged Adult Support Vector Machine Biomechanical Phenomena Parkinson Disease Male Middle Aged
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Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.

Computer methods and programs in biomedicine Mar 8, 2019
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment...
Blood Vessels Humans Markov Chains Neovascularization, Pathologic Medical Informatics Time Factors Endothelial Cells Immunotherapy Angiogenesis Inhibitors Models, Statistical Probability Machine Learning Algorithms Computer Simulation Neoplasms
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Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images.

Computer methods and programs in biomedicine Feb 12, 2019
BACKGROUND AND OBJECTIVES: The calcaneus is the most fracture-prone tarsal bone and injuries to the surrounding tissue are some of the most difficult to treat. Currently there is a lack of consensus on treatment or interpretation of computed tomograp...
Humans Deep Learning Neural Networks, Computer Fractures, Bone Algorithms Calcaneus Tomography, X-Ray Computed
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