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Multivariate Analysis

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Data scientists are predicting sports injuries with an algorithm.

Nature Apr 1, 2021
Humans Machine Learning Decision Trees Athletic Performance Athletes Multivariate Analysis Athletic Injuries Forecasting Male Data Science Adolescent
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Quantitative Longitudinal Predictions of Alzheimer's Disease by Multi-Modal Predictive Learning.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Quantitatively predicting the progression of Alzheimer's disease (AD) in an individual on a continuous scale, such as the Alzheimer's Disease Assessment Scale-cognitive (ADAS-cog) scores, is informative for a personalized approach as oppo...
Regression Analysis Alzheimer Disease Multivariate Analysis Humans Machine Learning Disease Progression
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A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit.

The journal of trauma and acute care surgery Oct 1, 2020
BACKGROUND: Trauma patients admitted to critical care are at high risk of mortality because of their injuries. Our aim was to develop a machine learning-based model to predict mortality using Fahad-Liaqat-Ahmad Intensive Machine (FLAIM) framework. We...
Humans Neural Networks, Computer Machine Learning Prognosis Wounds and Injuries Middle Aged Hospitalization Sepsis Young Adult Retrospective Studies ROC Curve Adult Sodium Critical Care Critical Illness Multivariate Analysis Male Proportional Hazards Models Intensive Care Units Injury Severity Score Female Organ Dysfunction Scores
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Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Molecular imaging and biology Aug 1, 2020
PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung cancer (NSCLC) patients based on mutation status in the epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS). At the...
Carcinoma, Non-Small-Cell Lung Multimodal Imaging Area Under Curve Mutation Aged Male Lung Neoplasms Genomics Proto-Oncogene Proteins p21(ras) Positron-Emission Tomography High-Throughput Nucleotide Sequencing Multivariate Analysis ErbB Receptors Machine Learning Algorithms Female Humans
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Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods.

Integrative biology : quantitative biosciences from nano to macro May 21, 2020
Characterization of decision-making in cells in response to received signals is of importance for understanding how cell fate is determined. The problem becomes multi-faceted and complex when we consider cellular heterogeneity and dynamics of biochem...
Tumor Suppressor Protein p53 Multivariate Analysis Genes, p53 Normal Distribution PTEN Phosphohydrolase Decision Making DNA Damage Outcome Assessment, Health Care Probability Algorithms Reproducibility of Results ROC Curve Signal Transduction Humans Machine Learning
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Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.

Advances in experimental medicine and biology Jan 1, 2020
There has always been a need for discovering efficient and dependable Alzheimer's disease (AD) diagnostic biomarkers. Like the majority of diseases, the earlier the diagnosis, the most effective the treatment. (Semi)-automated structural magnetic res...
Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Bayes Theorem Diagnostic Techniques, Neurological Humans Alzheimer Disease Machine Learning Multivariate Analysis Brain Case-Control Studies Diagnosis, Computer-Assisted
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Multi-omics integration-a comparison of unsupervised clustering methodologies.

Briefings in bioinformatics Jul 19, 2019
With the recent developments in the field of multi-omics integration, the interest in factors such as data preprocessing, choice of the integration method and the number of different omics considered had increased. In this work, the impact of these f...
Animals Mice Genomics Computational Biology Cluster Analysis Metabolomics Unsupervised Machine Learning Systems Biology Proteomics Humans Algorithms Databases, Factual Computer Simulation Factor Analysis, Statistical Models, Biological Multivariate Analysis Systems Integration
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Decision tree (DT), generalized regression neural network (GR) and multivariate adaptive regression splines (MARS) models for sediment transport in sewer pipes.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 1, 2019
Sediment deposition in sewers and urban drainage systems has great effect on the hydraulic capacity of the channel. In this respect, the self-cleansing concept has been widely used for sewers and urban drainage systems design. This study investigates...
Water Pollution Multivariate Analysis Geologic Sediments Neural Networks, Computer Drainage, Sanitary Waste Disposal, Fluid Models, Statistical Decision Trees
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A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.

The Journal of invasive cardiology Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Cancer Care Facilities Academic Medical Centers Neoplasms Multivariate Analysis Aged Age Factors Propensity Score Prevalence Humans Coronary Artery Disease Aged, 80 and over Coronary Angiography Machine Learning Case-Control Studies Texas Reference Values Male Retrospective Studies Logistic Models Sex Factors Risk Assessment Female
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The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials.

Neuroinformatics Jan 1, 2019
In recent years, neuroimaging research in cognitive neuroscience has increasingly used multivariate pattern analysis (MVPA) to investigate higher cognitive functions. Here we present DDTBOX, an open-source MVPA toolbox for electroencephalography (EEG...
Humans Brain Support Vector Machine Evoked Potentials Electroencephalography Signal Processing, Computer-Assisted Neuroimaging Multivariate Analysis
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