AIMC Topic: Data Interpretation, Statistical

Clear Filters Showing 81 to 90 of 233 articles

Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Datasets as Topic Adult Glucose Intolerance Male Glycemic Control Middle Aged Health Status Indicators Support Vector Machine Predictive Value of Tests Diagnosis, Differential Data Interpretation, Statistical Blood Glucose Blood Glucose Self-Monitoring Diabetes Mellitus, Type 2 Algorithms Female Reproducibility of Results Aged Humans
View on PubMed DOI

A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.

PloS one Mar 19, 2019
In this paper, we introduce a scalable machine learning approach accompanied by open-source software for identifying violent and peaceful forms of political protest participation using social media data. While violent political protests are statistic...
Aged Young Adult Adult Adolescent Social Media Male Middle Aged Humans Machine Learning Software Female Social Participation Data Interpretation, Statistical Violence Politics
View on PubMed DOI

Augmenting Recurrent Neural Networks Resilience by Dropout.

IEEE transactions on neural networks and learning systems Mar 18, 2019
This brief discusses the simple idea that dropout regularization can be used to efficiently induce resiliency to missing inputs at prediction time in a generic neural network. We show how the approach can be effective on tasks where imputation strate...
Reproducibility of Results Deep Learning Data Interpretation, Statistical Activities of Daily Living Humans Neural Networks, Computer Algorithms
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 ...
Humans Machine Learning Precision Medicine Treatment Outcome Models, Statistical Data Interpretation, Statistical Bayes Theorem Risk Factors Risk Assessment Neoplasms Data Mining Heart Diseases
View on PubMed DOI

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.

IEEE transactions on neural networks and learning systems Feb 22, 2019
Principal component analysis (PCA) has been used to study the pathogenesis of diseases. To enhance the interpretability of classical PCA, various improved PCA methods have been proposed to date. Among these, a typical method is the so-called sparse P...
Supervised Machine Learning Neoplasms Principal Component Analysis Data Interpretation, Statistical Humans
View on PubMed DOI

Network-Based Assessment of Adverse Drug Reaction Risk in Polypharmacy Using High-Throughput Screening Data.

International journal of molecular sciences Jan 17, 2019
The risk of adverse drug reactions increases in a polypharmacology setting. High-throughput drug screening with transcriptomics applied to human cells has shown that drugs have effects on several molecular pathways, and these affected pathways may be...
Risk Assessment Drug Design Data Interpretation, Statistical Polypharmacy Drug-Related Side Effects and Adverse Reactions High-Throughput Screening Assays Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Semi-supervised encoding for outlier detection in clinical observation data.

Computer methods and programs in biomedicine Jan 12, 2019
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that are unlikely to represent the "truth" about a patient at a given clinical encounter. Due to their high throughput, examples of such implausible obser...
Registries Data Collection Medical Informatics Electronic Health Records Female Humans Reproducibility of Results Neural Networks, Computer Models, Statistical Algorithms Male Data Interpretation, Statistical ROC Curve
View on PubMed DOI

Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network.

EBioMedicine Dec 29, 2018
BACKGROUND: Recently, innovative attempts have been made to identify moyamoya disease (MMD) by focusing on the morphological differences in the head of MMD patients. Following the recent revolution in the development of deep learning (DL) algorithms,...
Machine Learning Algorithms Female Radiography Reproducibility of Results Skull Moyamoya Disease Humans Middle Aged Young Adult Neural Networks, Computer Image Processing, Computer-Assisted ROC Curve Data Interpretation, Statistical Adult Male
View on PubMed DOI

Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Research in the domain of psychopathology has been hindered by hidden variables-variables that are important to understanding and treating psychopathological illnesses but are unmeasured. Recent methodological advances in machine learning have culmin...
Datasets as Topic Alcoholism Psychopathology Humans Algorithms Data Interpretation, Statistical
View on PubMed

Soft Computing for Analysis of Biomedical Data.

Computational and mathematical methods in medicine Nov 15, 2018
Data Mining Humans Machine Learning Gene Regulatory Networks Data Interpretation, Statistical Computational Biology Electroencephalography Magnetic Resonance Imaging
View on PubMed DOI
Popular Topics
Recent Journals