AIMC Topic: Humans

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OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.

Medical image analysis Feb 13, 2019
Deep networks have set the state-of-the-art in most image analysis tasks by replacing handcrafted features with learned convolution filters within end-to-end trainable architectures. Still, the specifications of a convolutional network are subject to...
Humans Abdomen Neural Networks, Computer Viscera Algorithms Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Automation of the standard DNA differential extraction on the Hamilton AutoLys STAR system: A proof-of-concept study.

Forensic science international. Genetics Feb 13, 2019
For several decades, a common approach for processing sexual assault evidence has been to use the "standard" differential extraction to separate the evidence into a non-sperm-cell fraction and a sperm-cell fraction for further analysis. In this stand...
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Specimen Handling Humans Microsatellite Repeats Robotics Sex Offenses DNA Fingerprinting Female DNA Semen Male Automation Polymerase Chain Reaction
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[The age of artificial intelligence in lung cancer pathology: Between hope, gloom and perspectives].

Annales de pathologie Feb 13, 2019
Histopathology is the fundamental tool of pathology used for more than a century to establish the final diagnosis of lung cancer. In addition, the phenotypic data contained in the histological images reflects the overall effect of molecular alteratio...
Artificial Intelligence Lung Neoplasms Humans Pathology, Clinical
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Multiple retrieval case-based reasoning for incomplete datasets.

Journal of biomedical informatics Feb 13, 2019
The performance of case-based reasoning (CBR) depends on an accurate ranking of similar cases in the retrieval phase that affects all subsequent phases and profits from the potential of large databases. Unfortunately, growing databases come along wit...
Diagnosis, Computer-Assisted Decision Support Systems, Clinical Humans Artificial Intelligence Databases, Factual
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Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.

Alimentary pharmacology & therapeutics Feb 13, 2019
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have an increased risk of recurring ulcer complications.
Cohort Studies Follow-Up Studies Helicobacter Infections Adult Male Middle Aged Recurrence Stomach Ulcer Helicobacter pylori Gastrointestinal Hemorrhage Duodenal Ulcer Humans Machine Learning Female Aged Prospective Studies Retrospective Studies
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Statistical outbreak detection by joining medical records and pathogen similarity.

Journal of biomedical informatics Feb 13, 2019
We present a statistical inference model for the detection and characterization of outbreaks of hospital associated infection. The approach combines patient exposures, determined from electronic medical records, and pathogen similarity, determined by...
Humans United States Models, Theoretical Machine Learning Disease Outbreaks Cross Infection Medical Records
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Study on Health Assessment Method of a Braking System of a Mine Hoist.

Sensors (Basel, Switzerland) Feb 13, 2019
This paper presents a method for calculating the health degree (HD) of a braking system of a mine hoist combined with three-level fuzzy comprehensive assessment (TLFCA) and a back-propagation neural network (BPNN). Firstly, the monitored values of a ...
Algorithms Humans Fuzzy Logic Monitoring, Physiologic Neural Networks, Computer
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SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis.

BMJ open Feb 13, 2019
INTRODUCTION: This study aims to obtain data on the prevalence and incidence of structural heart disease in a population setting and, to analyse and present those data on the application of spatial and machine learning methods that, although known to...
Risk Factors Aged Young Adult Male Middle Aged Spain Adult Cross-Sectional Studies Machine Learning Incidence Research Design Prevalence Heart Diseases Humans Prospective Studies Spatial Analysis Surveys and Questionnaires Female Adolescent
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Automatic Detection and Classification of Lung Nodules in CT Image Using Optimized Neuro Fuzzy Classifier with Cuckoo Search Algorithm.

Journal of medical systems Feb 13, 2019
The Lung nodules are very important to indicate the lung cancer, and its early detection enables timely treatment and increases the survival rate of patient. Even though lots of works are done in this area, still improvement in accuracy is required f...
Humans Neural Networks, Computer Algorithms Lung Neoplasms Fuzzy Logic Early Detection of Cancer Bayes Theorem Tomography, X-Ray Computed Diagnosis, Computer-Assisted Image Processing, Computer-Assisted
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Deep learning and process understanding for data-driven Earth system science.

Nature Feb 13, 2019
Machine learning approaches are increasingly used to extract patterns and insights from the ever-increasing stream of geospatial data, but current approaches may not be optimal when system behaviour is dominated by spatial or temporal context. Here, ...
Humans Forecasting Regression, Psychology Uncertainty Facial Recognition Time Factors Earth Sciences Spatio-Temporal Analysis Weather Computer Simulation Knowledge Pattern Recognition, Automated Deep Learning Seasons Female Translating Geographic Mapping Big Data Reproducibility of Results
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