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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 Humans Data Mining Neural Networks, Computer Probability Proteins Software Databases, Protein Publications Reproducibility of Results Deep Learning
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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...
Software Intensive Care Units Humans Machine Learning Therapy, Computer-Assisted Pulmonary Gas Exchange Oximetry Reproducibility of Results Respiration, Artificial Fuzzy Logic Decision Support Systems, Clinical Oxygen Decision Making Critical Care
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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 Publications Drug-Related Side Effects and Adverse Reactions Data Mining Machine Learning Algorithms Software Databases, Factual Humans Reproducibility of Results Neural Networks, Computer
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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....
Discriminant Analysis RNA Programming Languages Linear Models Sequence Analysis, RNA Support Vector Machine Poisson Distribution Humans Algorithms Gene Expression Profiling Machine Learning Software
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Machine Learning for Medical Imaging.

Journal of healthcare engineering Apr 28, 2019
Deep Learning Liver Neoplasms Alzheimer Disease Software Humans Principal Component Analysis Support Vector Machine Algorithms Neural Networks, Computer Diagnostic Imaging Reproducibility of Results Machine 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 ...
Decision Support Systems, Clinical Access to Information Knowledge Bases International Classification of Diseases Vocabulary, Controlled Expert Systems Semantics Humans Machine Learning Software
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mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides.

International journal of molecular sciences Apr 22, 2019
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer cells. The accurate prediction of ACPs from given peptide sequences remains as an open problem in the field of immunoinformatics. Recently, machine learning ...
Peptides Antineoplastic Agents ROC Curve Support Vector Machine Humans Software Reproducibility of Results Chemical Phenomena Web Browser
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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 Electrocardiography Models, Statistical Signal Processing, Computer-Assisted Humans Software Algorithms Telemedicine Stochastic Processes Data Compression
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End-to-End Differentiable Learning of Protein Structure.

Cell systems Apr 17, 2019
Predicting protein structure from sequence is a central challenge of biochemistry. Co-evolution methods show promise, but an explicit sequence-to-structure map remains elusive. Advances in deep learning that replace complex, human-designed pipelines ...
Software Evolution, Molecular Protein Folding Sequence Analysis, Protein Machine Learning
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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.

PloS one Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
ROC Curve Humans Support Vector Machine Osteosarcoma Software Bone and Bones Bone Neoplasms Reproducibility of Results Necrosis Image Interpretation, Computer-Assisted Deep Learning Datasets as Topic
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