AIMC Topic: Young Adult
Clear Filters Showing 2341 to 2350 of 4556 articles
Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus 'trained' machine learning models.
Addiction (Abingdon, England)
Mar 26, 2020
BACKGROUND AND AIMS: Clinical staff are typically poor at predicting alcohol dependence treatment outcomes. Machine learning (ML) offers the potential to model complex clinical data more effectively. This study tested the predictive accuracy of ML al...
Food Liking-Based Diet Quality Indexes (DQI) Generated by Conceptual and Machine Learning Explained Variability in Cardiometabolic Risk Factors in Young Adults.
Nutrients
Mar 25, 2020
The overall pattern of a diet (diet quality) is recognized as more important to health and chronic disease risk than single foods or food groups. Indexes of diet quality can be derived theoretically from evidence-based recommendations, empirically fr...
A biarticular passive exosuit to support balance control can reduce metabolic cost of walking.
Bioinspiration & biomimetics
Mar 20, 2020
Nowadays, the focus on the development of assistive devices just for people with mobility disorders has shifted towards enhancing physical abilities of able-bodied humans. As a result, the interest in the design of cheap and soft wearable exoskeleton...
Deep learning approaches for sleep disorder prediction in an asthma cohort.
The Journal of asthma : official journal of the Association for the Care of Asthma
Mar 18, 2020
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined 1 million samples included in the Taiwan National Health Insurance ...
Toward a unified framework for interpreting machine-learning models in neuroimaging.
Nature protocols
Mar 18, 2020
Machine learning is a powerful tool for creating computational models relating brain function to behavior, and its use is becoming widespread in neuroscience. However, these models are complex and often hard to interpret, making it difficult to evalu...
Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning.
Scientific reports
Mar 18, 2020
Diagnosing autism spectrum disorders (ASD) is a complicated, time-consuming process which is particularly challenging in older individuals. One of the most widely used behavioral diagnostic tools is the Autism Diagnostic Observation Schedule (ADOS). ...
A convolutional neural network-based system to classify patients using FDG PET/CT examinations.
BMC cancer
Mar 17, 2020
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly ...
Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.
Hypertension (Dallas, Tex. : 1979)
Mar 16, 2020
Risk stratification of young patients with hypertension remains challenging. Generally, machine learning (ML) is considered a promising alternative to traditional methods for clinical predictions because it is capable of processing large amounts of c...
Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data.
Scientific reports
Mar 16, 2020
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential diagnosis. Data analytics using Machine Learning (ML) have been playing a pivotal role in revolutionizing medical diagnostics. This research presents ...
Performance Evaluation of Convolutional Neural Network for Hand Gesture Recognition Using EMG.
Sensors (Basel, Switzerland)
Mar 15, 2020
Electromyography (EMG) is a measure of electrical activity generated by the contraction of muscles. Non-invasive surface EMG (sEMG)-based pattern recognition methods have shown the potential for upper limb prosthesis control. However, it is still ins...
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 30619
- Neural Networks, Computer 29506
- Algorithms 26548
- Deep Learning 26025
- Artificial Intelligence 24055
- Robotics 13286
- Image Processing, Computer-Assisted 9387
- Retrospective Studies 8943
- Magnetic Resonance Imaging 6074
- Reproducibility of Results 5540
- Tomography, X-Ray Computed 4682
- Support Vector Machine 4644
- Computational Biology 4191
- Brain 3993
- Computer Simulation 3858
Recent Journals
- Scientific reports 5371
- Sensors (Basel, Switzerland) 4794
- PloS one 3990
- Neural networks : the official journal of the International Neural Network Society 2927
- 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 1122
- Journal of chemical information and modeling 987
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 859
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 822