AIMC Topic: Sample Size

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Learning Bayesian networks from demographic and health survey data.

Journal of biomedical informatics Nov 17, 2020
Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income countries remains a serious global challenge. We combine knowledge with available Demographic and Health Survey (DHS) data from India, to construct Cau...
Humans Bayes Theorem Knowledge Bases Demography Algorithms Child Sample Size
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Automated traffic incident detection with a smaller dataset based on generative adversarial networks.

Accident; analysis and prevention Jun 20, 2020
An imbalanced and small training sample can cause an incident detection model to have a low detection rate and a high false alarm rate. To solve the scarcity of incident samples, a novel incident detection framework is proposed based on generative ad...
Accidents, Traffic Built Environment Support Vector Machine Sample Size Humans Research Design
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Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size.

Scientific reports Jan 21, 2020
Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in specific application domains, particularly medical imaging, and consequently leading to overfittin...
Big Data Datasets as Topic Neural Networks, Computer Humans Sample Size Machine Learning Deep Learning
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A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification.

Computational intelligence and neuroscience Dec 31, 2019
Deep learning models have been successfully applied to the analysis of various functional MRI data. Convolutional neural networks (CNN), a class of deep neural networks, have been found to excel at extracting local meaningful features based on their ...
Brain Mapping Brain Sample Size Motor Activity Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer
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Machine learning algorithm validation with a limited sample size.

PloS one Nov 7, 2019
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based data collection methods have led to a torrent of high dimensional datasets, which commonly have a small number of samples because of the intrinsic high c...
Sample Size Data Interpretation, Statistical Algorithms Humans Biomedical Research Machine Learning
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ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial.

American heart journal Oct 25, 2019
BACKGROUND: A deep learning algorithm to detect low ejection fraction (EF) using routine 12-lead electrocardiogram (ECG) has recently been developed and validated. The algorithm was incorporated into the electronic health record (EHR) to automaticall...
Electronic Health Records Echocardiography Deep Learning Artificial Intelligence Prospective Studies Heart Failure Cost-Benefit Analysis Cardiac Output, Low Electrocardiography Sample Size Informed Consent Humans Asymptomatic Diseases
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Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Sep 12, 2019
PURPOSE: The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies...
Machine Learning Biomedical Research Sample Size Diagnostic Imaging Humans
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Using Deep Neural Networks to Reconstruct Non-uniformly Sampled NMR Spectra.

Journal of biomolecular NMR Jul 10, 2019
Non-uniform and sparse sampling of multi-dimensional NMR spectra has over the last decade become an important tool to allow for fast acquisition of multi-dimensional NMR spectra with high resolution. The success of non-uniform sampling NMR hinge on b...
Supervised Machine Learning Nuclear Magnetic Resonance, Biomolecular Image Processing, Computer-Assisted Sample Size Neural Networks, Computer Algorithms
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Linguistic summarization of in-home sensor data.

Journal of biomedical informatics Jun 28, 2019
INTRODUCTION: With the increase in the population of older adults around the world, a significant amount of work has been done on in-home sensor technology to aid the elderly age independently. However, due to the large amounts of data generated by t...
Surveys and Questionnaires Independent Living Health Services for the Aged Time Factors Gait Sample Size Algorithms Focus Groups Monitoring, Ambulatory United States Remote Sensing Technology Retrospective Studies Linguistics National Library of Medicine (U.S.) Fuzzy Logic Aged Humans Natural Language Processing
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Estimating the Population Average Treatment Effect in Observational Studies with Choice-Based Sampling.

The international journal of biostatistics Apr 16, 2019
We consider causal inference in observational studies with choice-based sampling, in which subject enrollment is stratified on treatment choice. Choice-based sampling has been considered mainly in the econometrics literature, but it can be useful for...
Humans Likelihood Functions Models, Statistical Machine Learning Sample Size Computer Simulation Data Interpretation, Statistical Observational Studies as Topic
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