AIMC Topic: Models, Statistical

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Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.

Computer methods and programs in biomedicine Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Artifacts Medical Informatics Pattern Recognition, Automated Humans Female False Positive Reactions Respiratory Sounds Reproducibility of Results Models, Statistical Adult Signal Processing, Computer-Assisted Machine Learning Sensitivity and Specificity Male Telemedicine Software Support Vector Machine Algorithms Monitoring, Physiologic
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Ten quick tips for effective dimensionality reduction.

PLoS computational biology Jun 20, 2019
Humans Machine Learning Signal Processing, Computer-Assisted Databases, Factual Computational Biology Models, Statistical
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Serum Amyloid A Protein Cholesterol, HDL Amyloidosis Triglycerides Retrospective Studies Macaca mulatta Female Colitis Risk Factors Cholesterol, LDL Arthritis Adenocarcinoma Case-Control Studies Gastrointestinal Neoplasms Wounds and Injuries Disease Models, Animal Diarrhea Endometriosis Models, Statistical Humans Machine Learning Animals Biomarkers Male
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Optimization and control of the light environment for greenhouse crop production.

Scientific reports Jun 17, 2019
Optimization and control of the greenhouse light environment is key to increasing crop yield and quality. However, the light saturation point impacts the efficient use of light. Therefore, the dynamic acquisition of the light saturation point that is...
Support Vector Machine Models, Statistical Plant Leaves Seedlings Humans Temperature Cucumis Photosynthesis Crop Production Light Carbon Dioxide Crops, Agricultural
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Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.

BMJ open Jun 16, 2019
OBJECTIVES: Haemorrhagic fever with renal syndrome (HFRS) is a serious threat to public health in China, accounting for almost 90% cases reported globally. Infectious disease prediction may help in disease prevention despite some uncontrollable influ...
Humans Seasons Hemorrhagic Fever with Renal Syndrome China Incidence Models, Statistical Neural Networks, Computer Software Forecasting
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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Epidemics Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
Humans Texas Disease Outbreaks Models, Statistical Deep Learning Bayes Theorem Forecasting Influenza, Human Public Health
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Functional form estimation using oblique projection matrices for LS-SVM regression models.

PloS one Jun 7, 2019
Kernel regression models have been used as non-parametric methods for fitting experimental data. However, due to their non-parametric nature, they belong to the so-called "black box" models, indicating that the relation between the input variables an...
Support Vector Machine Artificial Intelligence Models, Statistical Machine Learning Least-Squares Analysis Algorithms
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Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences.

IEEE transactions on pattern analysis and machine intelligence Jun 6, 2019
Statistical models of the human body surface are generally learned from thousands of high-quality 3D scans in predefined poses to cover the wide variety of human body shapes and articulations. Acquisition of such data requires expensive equipment, ca...
Humans Machine Learning Female Male Posture Models, Biological Infant Models, Statistical Movement Imaging, Three-Dimensional
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Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration.

Medical image analysis May 31, 2019
Autofluorescence is the emission of light by naturally occurring tissue components on the absorption of incident light. Autofluorescence within the eye is associated with several disorders, such as Age-related Macular Degeneration (AMD) which is a le...
Humans Imaging, Three-Dimensional Macular Degeneration Unsupervised Machine Learning Models, Statistical Microscopy, Fluorescence
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GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.

Medical image analysis May 31, 2019
Cell segmentation in microscopy images is a common and challenging task. In recent years, deep neural networks achieved remarkable improvements in the field of computer vision. The dominant paradigm in segmentation is using convolutional neural netwo...
Glioblastoma Cytological Techniques Microscopy Neural Networks, Computer Humans Image Processing, Computer-Assisted Models, Statistical
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