AIMC Topic: Humans

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Application of data mining methods to improve screening for the risk of early gastric cancer.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and screening is the key to impro...
Early Detection of Cancer Data Mining Neural Networks, Computer Stomach Neoplasms China Logistic Models Risk Assessment Humans
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SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accurate identification of disease...
(1)
Machine Learning Data Mining Medical Informatics Applications Semantics Humans Neural Networks, Computer
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An automated pipeline for analyzing medication event reports in clinical settings.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Currently, the analysis of medicatio...
Patient Safety Support Vector Machine Risk Management Neural Networks, Computer Machine Learning Drug-Related Side Effects and Adverse Reactions Humans
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Automatic seizure detection using three-dimensional CNN based on multi-channel EEG.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Automated seizure detection from clinical EEG data can reduce the diagnosis time and facilitate targeting treatment for epileptic patients. However, current detection approaches mainly rely on limited features manually designed by domain ...
Neural Networks, Computer Machine Learning Electroencephalography Humans Epilepsy Signal Processing, Computer-Assisted Seizures
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A prototype of knowledge-based patient safety event reporting and learning system.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems remain in the early stage that...
Patient Safety Accidental Falls Knowledge Bases Humans Information Storage and Retrieval
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Automatic gene annotation using GO terms from cellular component domain.

BMC medical informatics and decision making Dec 7, 2018
BACKGROUND: The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Molecular Function (MF), and Bio...
Molecular Sequence Annotation Gene Ontology Computational Biology Natural Language Processing Humans
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GOnet: a tool for interactive Gene Ontology analysis.

BMC bioinformatics Dec 7, 2018
BACKGROUND: Biological interpretation of gene/protein lists resulting from -omics experiments can be a complex task. A common approach consists of reviewing Gene Ontology (GO) annotations for entries in such lists and searching for enrichment pattern...
Humans Animals Mice Gene Ontology Software Algorithms
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Maneuvering and stabilization control of a bipedal robot with a universal-spatial robotic tail.

Bioinspiration & biomimetics Dec 7, 2018
This paper analyzes control methodologies to implement maneuvering and stabilization behaviors in a bipedal robot using a bioinspired robotic tail. Looking to nature, numerous animals augment their legs' functionality using a tail nature, numerous an...
(1)
Torque Leg Walking Models, Biological Biomechanical Phenomena Animals Humans Feedback Robotics
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Deep convolutional networks do not classify based on global object shape.

PLoS computational biology Dec 7, 2018
Deep convolutional networks (DCNNs) are achieving previously unseen performance in object classification, raising questions about whether DCNNs operate similarly to human vision. In biological vision, shape is arguably the most important cue for reco...
Humans Neural Networks, Computer Deep Learning Computational Biology Animals Pattern Recognition, Visual Form Perception Pattern Recognition, Automated Photic Stimulation
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Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

PloS one Dec 7, 2018
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep learning that incorporates a clinical algorithm, e.g., a risk stratification schema to improve prognostic profiling. We present the first application ...
Neoplasm Recurrence, Local Progression-Free Survival Prognosis Neuroblastoma Child Male Female Humans Gene Expression Regulation, Neoplastic Gene Expression Profiling Risk Assessment Infant Algorithms Deep Learning
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