AIMC Topic: Young Adult

Clear Filters Showing 2521 to 2530 of 4556 articles

Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

European journal of radiology Nov 6, 2019
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (WHO/ISUP I-II) and high grade (WHO/ISUP III-IV) clear cell renal cell carcinomas (ccRCCs).
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Kidney Logistic Models Support Vector Machine Diagnosis, Differential Predictive Value of Tests Neoplasm Grading Aged, 80 and over Young Adult Adult Male Middle Aged
View on PubMed DOI

Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.

European radiology Nov 5, 2019
OBJECTIVE: To evaluate the impact of utilizing digital breast tomosynthesis (DBT) or/and full-field digital mammography (FFDM), and different transfer learning strategies on deep convolutional neural network (DCNN)-based mass classification for breas...
Radiographic Image Enhancement Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged Deep Learning Imaging, Three-Dimensional Mammography Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Breast Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Aged
View on PubMed DOI

Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms.

BMC medical informatics and decision making Nov 5, 2019
BACKGROUND: Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of births attended by skilled h...
Female Young Adult Adult Cross-Sectional Studies Middle Aged Maternal Health Services Humans Machine Learning Clinical Decision-Making Pregnancy Delivery, Obstetric Adolescent Health Surveys Logistic Models Ethiopia Bayes Theorem
View on PubMed DOI

Predicting individual decision-making responses based on single-trial EEG.

NeuroImage Nov 4, 2019
Decision-making plays an essential role in the interpersonal interactions and cognitive processing of individuals. There has been increasing interest in being able to predict an individual's decision-making response (i.e., acceptance or rejection). W...
Electroencephalography Humans Signal Processing, Computer-Assisted Brain Supervised Machine Learning Female Neural Pathways Young Adult Evoked Potentials Adult Male Decision Making Discriminant Analysis
View on PubMed DOI

Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.

Computational and mathematical methods in medicine Nov 4, 2019
In recent years, functional brain network topological features have been widely used as classification features. Previous studies have found that network node scale differences caused by different network parcellation definitions significantly affect...
Female Reproducibility of Results Young Adult Cluster Analysis Adult Humans Brain Mapping Male Neural Networks, Computer Depressive Disorder, Major Medical Informatics Middle Aged Machine Learning Diagnosis, Computer-Assisted Algorithms Adolescent Pattern Recognition, Automated Brain Support Vector Machine Nerve Net Magnetic Resonance Imaging
View on PubMed DOI

Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Middle Aged Female Case-Control Studies Aged Diagnosis, Computer-Assisted Aged, 80 and over Humans Support Vector Machine Sepsis Young Adult Machine Learning Area Under Curve Software Adolescent Models, Biological Algorithms Adult Early Diagnosis Intensive Care Units Male Analysis of Variance Vital Signs
View on PubMed DOI

Machine-learned analysis of side-differences in odor identification performance.

Neuroscience Nov 2, 2019
A right-left dichotomy of olfactory processes has been recognized on several levels of the perception or processing of olfactory input. On a clinical level, the lateralization of components of human olfaction is contrasted by the predominantly birhin...
Humans Machine Learning Female Aged Aged, 80 and over Olfactory Pathways Discrimination, Psychological Olfaction Disorders Young Adult Adult Child, Preschool Male Child Middle Aged Odorants Adolescent Smell Functional Laterality Olfactory Perception
View on PubMed DOI

Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy.

Journal of neurology Nov 1, 2019
BACKGROUND: Chemosensory loss is a symptom of Parkinson's disease starting already at preclinical stages. Their appearance without an identifiable etiology therefore indicates a possible early symptom of Parkinson's disease. Supervised machine-learni...
Humans Adolescent Machine Learning Parkinson Disease Aged, 80 and over Prospective Studies Young Adult Age of Onset Female Adult Reproducibility of Results Risk Male Aged Olfaction Disorders Middle Aged Taste Disorders Case-Control Studies
View on PubMed DOI

A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.

Journal of general internal medicine Nov 1, 2019
BACKGROUND: Emergency departments (ED) are becoming increasingly overwhelmed, increasing poor outcomes. Triage scores aim to optimize the waiting time and prioritize the resource usage. Artificial intelligence (AI) algorithms offer advantages for cre...
Middle Aged Adolescent Hospital Mortality Triage Emergency Service, Hospital Humans Artificial Intelligence Machine Learning Retrospective Studies Aged Aged, 80 and over Young Adult Adult
View on PubMed DOI

Single-slice Alzheimer's disease classification and disease regional analysis with Supervised Switching Autoencoders.

Computers in biology and medicine Oct 31, 2019
BACKGROUND: Alzheimer's disease (AD) is a difficult to diagnose pathology of the brain that progressively impairs cognitive functions. Computer-assisted diagnosis of AD based on image analysis is an emerging tool to support AD diagnosis. In this arti...
Supervised Machine Learning Humans Alzheimer Disease Image Interpretation, Computer-Assisted Young Adult Neural Networks, Computer Adult Brain Male Female Middle Aged Aged Adolescent Aged, 80 and over Magnetic Resonance Imaging
View on PubMed DOI
Popular Topics
Recent Journals