AIMC Topic: Software

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A new approach for arrhythmia classification using deep coded features and LSTM networks.

Computer methods and programs in biomedicine May 10, 2019
BACKGROUND AND OBJECTIVE: For diagnosis of arrhythmic heart problems, electrocardiogram (ECG) signals should be recorded and monitored. The long-term signal records obtained are analyzed by expert cardiologists. Devices such as the Holter monitor hav...
Algorithms Databases, Factual Reproducibility of Results Data Management Humans Neural Networks, Computer Software Electrocardiography, Ambulatory Arrhythmias, Cardiac Pattern Recognition, Automated Data Compression Electrocardiography Principal Component Analysis Signal Processing, Computer-Assisted
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Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

Applied clinical informatics May 8, 2019
BACKGROUND: Thirty-day hospital readmissions are a quality metric for health care systems. Predictive models aim to identify patients likely to readmit to more effectively target preventive strategies. Many risk of readmission models have been develo...
Retrospective Studies Humans Models, Theoretical Machine Learning Software Patient Readmission Algorithms Hospitals, Military Prospective Studies
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Is There Value for Artificial Intelligence Applications in Molecular Imaging and Nuclear Medicine?

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 3, 2019
Pattern Recognition, Automated Humans Nuclear Medicine Quality of Life Artificial Intelligence Software Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Molecular Imaging
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Prediction of zinc-binding sites using multiple sequence profiles and machine learning methods.

Molecular omics May 2, 2019
The zinc (Zn) cofactor has been proven to be involved in numerous biological mechanisms and the zinc-binding site is recognized as one of the most important post-translation modifications in proteins. Therefore, accurate knowledge of zinc ions in pro...
Software Algorithms Computer Simulation Zinc Machine Learning Amino Acid Sequence Protein Conformation Binding Sites Protein Folding Protein Binding Computational Biology Support Vector Machine Databases, Protein
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Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: The extraction of interactions between chemicals and proteins from biomedical literature is important for many biomedical tasks such as drug discovery and precision medicine. In the existing systems, the methods achieving co...
PubMed Data Mining Probability Deep Learning Proteins Databases, Protein Publications Humans Neural Networks, Computer Software Reproducibility of Results
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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...
Reproducibility of Results Respiration, Artificial Decision Support Systems, Clinical Fuzzy Logic Decision Making Oxygen Critical Care Humans Machine Learning Software Intensive Care Units Therapy, Computer-Assisted Pulmonary Gas Exchange Oximetry
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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...
Algorithms Databases, Factual Reproducibility of Results Publications Drug-Related Side Effects and Adverse Reactions Data Mining Pharmacovigilance Semantics Humans Neural Networks, Computer Machine Learning Software
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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....
Poisson Distribution Discriminant Analysis RNA Programming Languages Linear Models Algorithms Gene Expression Profiling Sequence Analysis, RNA Support Vector Machine Humans Machine Learning Software
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Machine Learning for Medical Imaging.

Journal of healthcare engineering Apr 28, 2019
Liver Neoplasms Software Humans Support Vector Machine Algorithms Neural Networks, Computer Diagnostic Imaging Principal Component Analysis Reproducibility of Results Machine Learning Alzheimer Disease Deep Learning
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An open access medical knowledge base for community driven diagnostic decision support system development.

BMC medical informatics and decision making Apr 27, 2019
INTRODUCTION: While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will remain an important component ...
Knowledge Bases Expert Systems Semantics International Classification of Diseases Software Decision Support Systems, Clinical Access to Information Vocabulary, Controlled Humans Machine Learning
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