AIMC Topic: Aged, 80 and over
Clear Filters Showing 2551 to 2560 of 3475 articles
Sporulated Bacillus as alternative treatment for diarrhea of hospitalized adult patients under enteral nutrition: A pilot randomized controlled study.
Clinical nutrition ESPEN
Sep 6, 2017
BACKGROUND & AIMS: Among hospitalized patients receiving enteral nutrition (EN), malnutrition and antibiotic use are some of the most common causes of diarrhea. Prebiotics and probiotics agents have been used for treatment of diarrhea in such patient...
Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis.
Journal of healthcare engineering
Sep 6, 2017
BACKGROUND: Of the machine learning techniques used in predicting coronary heart disease (CHD), neural network (NN) is popularly used to improve performance accuracy.
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.
Scientific reports
Sep 4, 2017
Traditional radiomics models mainly rely on explicitly-designed handcrafted features from medical images. This paper aimed to investigate if deep features extracted via transfer learning can generate radiomics signatures for prediction of overall sur...
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
Humans
Prognosis
Female
Reproducibility of Results
Aged
Nomograms
Models, Theoretical
Magnetic Resonance Imaging
Glioblastoma
Image Interpretation, Computer-Assisted
Kaplan-Meier Estimate
Deep Learning
Adolescent
Child
ROC Curve
Image Processing, Computer-Assisted
Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods.
PloS one
Aug 30, 2017
OBJECTIVE: To evaluate the use of ultrasound coupled with machine learning (ML) and deep learning (DL) techniques for automated or semi-automated classification of myositis.
DXAGE: A New Method for Age at Death Estimation Based on Femoral Bone Mineral Density and Artificial Neural Networks.
Journal of forensic sciences
Aug 29, 2017
Age at death estimation in adult skeletons is hampered, among others, by the unremarkable correlation of bone estimators with chronological age, implementation of inappropriate statistical techniques, observer error, and skeletal incompleteness or de...
Sex determination from the femur in Portuguese populations with classical and machine-learning classifiers.
Journal of forensic and legal medicine
Aug 24, 2017
The assessment of sex is of paramount importance in the establishment of the biological profile of a skeletal individual. Femoral relevance for sex estimation is indisputable, particularly when other exceedingly dimorphic skeletal regions are missing...
Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.
Digestive diseases and sciences
Aug 23, 2017
BACKGROUND: Machine learning tools identify patients with blood counts indicating greater likelihood of colorectal cancer and warranting colonoscopy referral.
Early Detection of Cancer
Predictive Value of Tests
Area Under Curve
Registries
Data Mining
Sex Factors
Referral and Consultation
Blood Cell Count
Odds Ratio
Middle Aged
Colonoscopy
Diagnosis, Computer-Assisted
ROC Curve
Age Factors
Aged
Aged, 80 and over
Adult
Colorectal Neoplasms
Male
Humans
Machine Learning
Algorithms
Female
Reproducibility of Results
Risk Factors
Diagnosing asthma and chronic obstructive pulmonary disease with machine learning.
Health informatics journal
Aug 18, 2017
This study examines the clinical decision support systems in healthcare, in particular about the prevention, diagnosis and treatment of respiratory diseases, such as Asthma and chronic obstructive pulmonary disease. The empirical pulmonology study of...
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning.
Scientific reports
Aug 18, 2017
Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. However, for some malignancies such as urinary bladder cancer, the ability to accurately assess local extent of the disease and understand response to sy...
Twitter discussions about the predicaments of robots in geriatric nursing: forecast of nursing robotics in aged care.
Contemporary nurse
Aug 17, 2017
BACKGROUND: People use social media to express perceptions, attitudes and a wide range of concerns regarding human life.
Stay Ahead of Medical AI
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 32557
- Neural Networks, Computer 30510
- Algorithms 27757
- Deep Learning 27309
- Artificial Intelligence 25232
- Robotics 13437
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6485
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4816
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7016
- Sensors (Basel, Switzerland) 4794
- PloS one 4344
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- 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
- IEEE journal of biomedical and health informatics 1202
- Journal of chemical information and modeling 1092
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 884
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 860