AIMC Topic: Datasets as Topic

Clear Filters Showing 781 to 790 of 1098 articles

Development of machine learning models for diagnosis of glaucoma.

PloS one May 23, 2017
The study aimed to develop machine learning models that have strong prediction power and interpretability for diagnosis of glaucoma based on retinal nerve fiber layer (RNFL) thickness and visual field (VF). We collected various candidate features fro...
Humans Diagnosis, Computer-Assisted Retina ROC Curve Glaucoma Datasets as Topic Decision Trees Machine Learning Visual Field Tests Area Under Curve Female Adult Male Middle Aged
View on PubMed DOI

Deep Learning for Plant Identification in Natural Environment.

Computational intelligence and neuroscience May 22, 2017
Plant image identification has become an interdisciplinary focus in both botanical taxonomy and computer vision. The first plant image dataset collected by mobile phone in natural scene is presented, which contains 10,000 images of 100 ornamental pla...
Environment Plants Forestry Machine Learning Datasets as Topic China Cell Phone Classification Universities Photography
View on PubMed DOI

Modeling long-term human activeness using recurrent neural networks for biometric data.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three ty...
Neural Networks, Computer Feasibility Studies Algorithms Datasets as Topic Young Adult Forecasting Fitness Trackers Adult Computer Simulation Biometry Exercise Time Factors Humans
View on PubMed DOI

Identifying N-methyladenosine sites using multi-interval nucleotide pair position specificity and support vector machine.

Scientific reports Apr 25, 2017
N6-methyladenosine (mA) refers to methylation of the adenosine nucleotide acid at the nitrogen-6 position. It plays an important role in a series of biological processes, such as splicing events, mRNA exporting, nascent mRNA synthesis, nuclear transl...
Humans Algorithms Computational Biology RNA, Messenger Saccharomyces cerevisiae Support Vector Machine Adenosine Nucleotides Arabidopsis Datasets as Topic
View on PubMed DOI

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.

NeuroImage Apr 24, 2017
This study investigates a 3D and fully convolutional neural network (CNN) for subcortical brain structure segmentation in MRI. 3D CNN architectures have been generally avoided due to their computational and memory requirements during inference. We ad...
Adolescent Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Middle Aged Deep Learning Datasets as Topic Neuroimaging Corpus Striatum Thalamus Humans Autism Spectrum Disorder Young Adult
View on PubMed DOI

Multi-center machine learning in imaging psychiatry: A meta-model approach.

NeuroImage Apr 17, 2017
One of the biggest problems in automated diagnosis of psychiatric disorders from medical images is the lack of sufficiently large samples for training. Sample size is especially important in the case of highly heterogeneous disorders such as schizoph...
Pattern Recognition, Automated Neuroimaging Female Male Support Vector Machine Magnetic Resonance Imaging Multicenter Studies as Topic Schizophrenia Datasets as Topic Humans
View on PubMed DOI

Extracting features from protein sequences to improve deep extreme learning machine for protein fold recognition.

Journal of theoretical biology Mar 27, 2017
Protein fold recognition is an important problem in bioinformatics to predict three-dimensional structure of a protein. One of the most challenging tasks in protein fold recognition problem is the extraction of efficient features from the amino-acid ...
Protein Conformation Protein Folding Sequence Homology, Amino Acid Sequence Analysis, Protein Computational Biology Principal Component Analysis Amino Acid Sequence Datasets as Topic Machine Learning
View on PubMed DOI

An empirical fuzzy multifactor dimensionality reduction method for detecting gene-gene interactions.

BMC genomics Mar 14, 2017
BACKGROUND: Detection of gene-gene interaction (GGI) is a key challenge towards solving the problem of missing heritability in genetics. The multifactor dimensionality reduction (MDR) method has been widely studied for detecting GGIs. MDR reduces the...
Epistasis, Genetic Multifactor Dimensionality Reduction Bipolar Disorder Polymorphism, Single Nucleotide Genotype Models, Genetic Fuzzy Logic Internet Crohn Disease Datasets as Topic Humans Software
View on PubMed DOI

Recurring Functional Interactions Predict Network Architecture of Interictal and Ictal States in Neocortical Epilepsy.

eNeuro Mar 8, 2017
Human epilepsy patients suffer from spontaneous seizures, which originate in brain regions that also subserve normal function. Prior studies demonstrate focal, neocortical epilepsy is associated with dysfunction, several hours before seizures. How do...
Electrocorticography Electrodes, Implanted Neocortex Humans Brain Mapping Cluster Analysis Female Seizures Male Models, Neurological Datasets as Topic Time Factors Unsupervised Machine Learning Drug Resistant Epilepsy
View on PubMed DOI

Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning.

Computer methods and programs in biomedicine Feb 10, 2017
BACKGROUND AND OBJECTIVE: To safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an e...
Humans Neural Networks, Computer Machine Learning Electrocardiography Ventricular Fibrillation Support Vector Machine Tachycardia Signal Processing, Computer-Assisted Datasets as Topic
View on PubMed DOI
Popular Topics
Recent Journals