Latest AI and machine learning research in medicare for healthcare professionals.
OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare benefici...
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a ...
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specia...
The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. Howeve...
Genetic control methods of mosquito vectors of malaria, dengue, yellow fever, and Zika are becoming ...
Big data for health care is one of the potential solutions to deal with the numerous challenges of h...
BACKGROUND: Amyloid-β positivity (Aβ+) based on PET imaging is part of the enrollment criteria for m...
OBJECTIVES: The Veterans Affairs (VA) Health Care System is among the largest integrated health syst...
Bullying events have frequently been the focus of coverage by news media, including news stories abo...
BACKGROUND: A significant amount of clinical information captured as free-text narratives could be b...
Correlation of pathology reports with radiology examinations has long been of interest to radiologis...
PURPOSE: Robust institutional tumor banks depend on continuous sample curation or else subsequent bi...
Nurses in a hospital are responsible for the monitoring and care of a large number of patients. Regu...
Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learnin...
BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (...
Choosing whether to use second or third generation sequencing platforms can lead to trade-offs betwe...
A diverse universe of statistical models in the literature aim to help hospitals understand the risk...
The objective of the study was to investigate the relationships between vaginal temperature during t...
Extracting concepts from medical texts is a key to support many advanced applications in medical inf...
Maintenance and use of a large ontology, consisting of thousands of knowledge assertions, are hamper...
Budget constrained optimal design of experiments is a well studied problem. Although the literature ...