AIMC Topic: Models, Statistical

Clear Filters Showing 641 to 650 of 1301 articles

Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms.

Food research international (Ottawa, Ont.) Mar 28, 2019
Foodborne pathogens such as Listeria spp. contain the ability to survive and multiply in poultry farming environments, which provides a route of contamination for poultry processing environments and final poultry products. An understanding of the eff...
Models, Statistical Machine Learning Animals Decision Trees Prevalence Poultry Products Feces Listeria Chickens
View on PubMed DOI

Selene: a PyTorch-based deep learning library for sequence data.

Nature methods Mar 28, 2019
To enable the application of deep learning in biology, we present Selene (https://selene.flatironinstitute.org/), a PyTorch-based deep learning library for fast and easy development, training, and application of deep learning model architectures for ...
Mutagenesis Normal Distribution Gene Library Area Under Curve Mutation Alzheimer Disease Programming Languages Humans Neural Networks, Computer Software Algorithms Computational Biology Sequence Analysis, DNA Models, Statistical Deep Learning Genomics
View on PubMed DOI

Machine learning for patient risk stratification for acute respiratory distress syndrome.

PloS one Mar 28, 2019
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance-limiting their suitability for driving clinical interventions. We sought to develop a machine learni...
Models, Statistical Humans Male Machine Learning Female Middle Aged Aged Risk Assessment Respiratory Distress Syndrome
View on PubMed DOI

Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Patient Discharge Spondylolisthesis Humans Machine Learning Algorithms Databases, Factual Male Middle Aged Female Models, Statistical Aged
View on PubMed DOI

A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging.

Magnetic resonance imaging Mar 26, 2019
The ability to evaluate empirical diffusion MRI acquisitions for quality and to correct the resulting imaging metrics allows for improved inference and increased replicability. Previous work has shown promise for estimation of bias and variance of ge...
Nerve Net Diffusion Tensor Imaging Anisotropy Diffusion Magnetic Resonance Imaging Models, Statistical Brain Bias Reproducibility of Results Signal-To-Noise Ratio Deep Learning Humans Monte Carlo Method Algorithms
View on PubMed DOI

Deep-learning augmented RNA-seq analysis of transcript splicing.

Nature methods Mar 25, 2019
A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on high sequencing coverage. We report DARTS (https://github.com/Xinglab/DARTS), a computational framework that integrates deep-learning-based predictions...
Humans Sequence Analysis, RNA Epigenomics Hep G2 Cells Models, Statistical Bayes Theorem Algorithms Reproducibility of Results Gene Expression Profiling Deep Learning K562 Cells RNA Splicing Exons Alternative Splicing Signal Processing, Computer-Assisted RNA High-Throughput Nucleotide Sequencing Gene Expression Regulation
View on PubMed DOI

A predictive model for the evaluation of flavor attributes of raw and cooked beef based on sensor array analyses.

Food research international (Ottawa, Ont.) Mar 22, 2019
There are currently no standardized objective measures to evaluate beef flavor attributes, especially the comparison between raw beef and cooked beef. Beef flavor attribute is one of the most significant parameters for consumers. This study described...
Adult Cluster Analysis Models, Statistical Odorants Food Preferences Red Meat Raw Foods Taste Cooking Humans Neural Networks, Computer Algorithms Young Adult
View on PubMed DOI

A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy.

BJU international Mar 20, 2019
OBJECTIVES: To predict urinary continence recovery after robot-assisted radical prostatectomy (RARP) using a deep learning (DL) model, which was then used to evaluate surgeon's historical patient outcomes.
Male Surgeons Middle Aged Postoperative Complications Humans Aged Recovery of Function Robotic Surgical Procedures Prostate Prostatectomy Urinary Incontinence Deep Learning Cohort Studies Treatment Outcome Models, Statistical
View on PubMed DOI

Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Mar 15, 2019
OBJECTIVE: The fields of medicine and public health are undergoing a data revolution. An increasing availability of data has brought about a growing interest in machine-learning algorithms. Our objective is to present the reader with an introduction ...
Data Interpretation, Statistical Bayes Theorem Data Mining Heart Diseases Risk Assessment Neoplasms Treatment Outcome Humans Models, Statistical Machine Learning Precision Medicine Risk Factors
View on PubMed DOI

Convolutional neural network for cell classification using microscope images of intracellular actin networks.

PloS one Mar 13, 2019
Automated cell classification is an important yet a challenging computer vision task with significant benefits to biomedicine. In recent years, there have been several studies attempted to build an artificial intelligence-based cell classifier using ...
MCF-7 Cells Microscopy, Fluorescence Humans Breast Automation Neural Networks, Computer Machine Learning Cell Line, Tumor Pattern Recognition, Automated Algorithms Image Processing, Computer-Assisted Actins Female Cell Line Cytoplasm Reproducibility of Results Models, Statistical Cytoskeleton Breast Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals