Humans
Showing 67291 to 67300 of 95995 articles
End-to-End syndrome differentiation of Yin deficiency and Yang deficiency in traditional Chinese medicine.
Computer methods and programs in biomedicine
Oct 16, 2018
BACKGROUND AND OBJECTIVE: Yin and Yang, two concepts adapted from classical Chinese philosophy, play a diagnostic role in Traditional Chinese Medicine (TCM). The Yin and Yang in harmonious balance indicate health, whereas imbalances to either side in...
Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma.
American journal of ophthalmology
Oct 16, 2018
PURPOSE: To determine whether a machine learning technique called Kalman filtering (KF) can accurately forecast future values of mean deviation (MD), pattern standard deviation, and intraocular pressure for patients with normal tension glaucoma (NTG)...
Effects of robot-(Morning Walk) assisted gait training for patients after stroke: a randomized controlled trial.
Clinical rehabilitation
Oct 16, 2018
OBJECTIVE:: To investigate the effects of Morning Walk-assisted gait training for patients with stroke.
Prediction of clinically relevant drug-induced liver injury from structure using machine learning.
Journal of applied toxicology : JAT
Oct 16, 2018
Drug-induced liver injury (DILI) is the most common cause of acute liver failure and often responsible for drug withdrawals from the market. Clinical manifestations vary, and toxicity may or may not appear dose-dependent. We present several machine-l...
A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Oct 16, 2018
BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in decision-making for chemotherapy in early-stage hormone receptor-positive(HR+)breast cancer. We developed a prediction tool using machine learning for hig...
Unsupervised and real-time spike sorting chip for neural signal processing in hippocampal prosthesis.
Journal of neuroscience methods
Oct 16, 2018
BACKGROUND: Damage to the hippocampus will result in the loss of ability to form new long-term memories and cognitive disorders. At present, there is no effective medical treatment for this issue. Hippocampal cognitive prosthesis is proposed to repla...
Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.
Breast cancer research and treatment
Oct 16, 2018
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant ...
Feasibility Studies
Receptor, ErbB-2
Mastectomy, Segmental
Neoadjuvant Therapy
Magnetic Resonance Imaging
Neoplasm Staging
Breast
Aged
Adult
Middle Aged
ROC Curve
Image Processing, Computer-Assisted
Triple Negative Breast Neoplasms
Antineoplastic Combined Chemotherapy Protocols
Treatment Outcome
Humans
Machine Learning
Retrospective Studies
Female
Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation.
Radiology
Oct 16, 2018
Purpose To develop a deep learning (DL) algorithm to assess mammographic breast density. Materials and Methods In this retrospective study, a deep convolutional neural network was trained to assess Breast Imaging Reporting and Data System (BI-RADS) b...
Structure and Protein Interaction-Based Gene Ontology Annotations Reveal Likely Functions of Uncharacterized Proteins on Human Chromosome 17.
Journal of proteome research
Oct 16, 2018
Understanding the function of human proteins is essential to decipher the molecular mechanisms of human diseases and phenotypes. Of the 17 470 human protein coding genes in the neXtProt 2018-01-17 database with unequivocal protein existence evidence ...
CT image segmentation of bone for medical additive manufacturing using a convolutional neural network.
Computers in biology and medicine
Oct 16, 2018
BACKGROUND: The most tedious and time-consuming task in medical additive manufacturing (AM) is image segmentation. The aim of the present study was to develop and train a convolutional neural network (CNN) for bone segmentation in computed tomography...
(2)
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 32655
- Neural Networks, Computer 30545
- Algorithms 27797
- Deep Learning 27357
- Artificial Intelligence 25287
- Robotics 13443
- Image Processing, Computer-Assisted 9910
- Retrospective Studies 9561
- Magnetic Resonance Imaging 6493
- Reproducibility of Results 5753
- Tomography, X-Ray Computed 4970
- Support Vector Machine 4827
- Computational Biology 4407
- Brain 4196
- Computer Simulation 3970
Recent Journals
- Scientific reports 9611
- PloS one 4878
- Sensors (Basel, Switzerland) 4794
- Neural networks : the official journal of the International Neural Network Society 3053
- Computers in biology and medicine 2084
- Computational intelligence and neuroscience 1931
- 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 1395
- Nature communications 1331
- IEEE journal of biomedical and health informatics 1311
- Journal of chemical information and modeling 1280
- Journal of medical Internet research 1009
- IEEE transactions on neural networks and learning systems 927
- Bioinformatics (Oxford, England) 911
- Computer methods and programs in biomedicine 896