AIMC Topic: Young Adult
Clear Filters Showing 2721 to 2730 of 4624 articles
Artificial neural network models to predict nodal status in clinically node-negative breast cancer.
BMC cancer
Jun 21, 2019
BACKGROUND: Sentinel lymph node biopsy (SLNB) is standard staging procedure for nodal status in breast cancer, but lacks therapeutic benefit for patients with benign sentinel nodes. For patients with positive sentinel nodes, individualized surgical s...
Carcinoma, Lobular
Lymph Nodes
Lymphatic Metastasis
Axilla
Area Under Curve
Tumor Burden
Neovascularization, Pathologic
Linear Models
Receptors, Estrogen
Sentinel Lymph Node Biopsy
Aged, 80 and over
Young Adult
Adult
Breast Neoplasms
Middle Aged
Neural Networks, Computer
Retrospective Studies
Female
Aged
Humans
An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model.
Journal of neuroscience methods
Jun 19, 2019
OBJECTIVE: Sleep stage scoring is essential for diagnosing sleep disorders. Visual scoring of sleep stages is very time-consuming and prone to human errors. In this work, we introduce an efficient approach to improve the accuracy of sleep stage scori...
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
NeuroImage
Jun 18, 2019
The specificity and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on preprocessing choices, such as the parcellation scheme used to define regions of interest (ROIs). In this study, we critically evaluate the effect of bra...
Real-time estimation of electric fields induced by transcranial magnetic stimulation with deep neural networks.
Brain stimulation
Jun 17, 2019
BACKGROUND: Transcranial magnetic stimulation (TMS) plays an important role in treatment of mental and neurological illnesses, and neurosurgery. However, it is difficult to target specific brain regions accurately because the complex anatomy of the b...
SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.
Journal of immunology (Baltimore, Md. : 1950)
Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.
IEEE journal of biomedical and health informatics
Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record Systems.
Ethnicity & disease
Jun 13, 2019
OBJECTIVE: To create a natural language processing (NLP) algorithm to identify transgender patients in electronic health records.
An intelligent warning model for early prediction of cardiac arrest in sepsis patients.
Computer methods and programs in biomedicine
Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Sensitivity and Specificity
Male
Middle Aged
Severity of Illness Index
Heart Arrest
Case-Control Studies
Female
Humans
Reproducibility of Results
Machine Learning
Young Adult
Algorithms
Adult
Electronic Health Records
Sepsis
Monitoring, Ambulatory
Adolescent
APACHE
Incidence
Multivariate Analysis
Decision Trees
Vital Signs
Normal Distribution
Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging.
Psychiatry research. Neuroimaging
Jun 11, 2019
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap betwee...
Slow cortical potential signal classification using concave-convex feature.
Journal of neuroscience methods
Jun 8, 2019
BACKGROUND: The classification of the slow cortical potential (SCP) signals plays a key role in a variety of research areas, including disease diagnostics, human-machine interaction, and education. The widely used classification methods, which combin...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823