Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: As e-cigarette use rapidly increases in popularity, data from online social systems (Twi...
Chitosan/nanohydroxyapatite composites based on scallop shells (CP12, CP14 and CP21) were prepared w...
The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled...
OBJECTIVE: The objective of this study was to examine patient-provider relationships among American ...
ABSTRACTSocially assistive robots have successfully been trialed in residential care facilities (RCF...
The goal of this study was to develop an algorithm that automatically quantifies motor states (off, ...
Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor...
Computerized microscopy image analysis plays an important role in computer aided diagnosis and progn...
To improve the visible light absorption and photocatalytic activity of titanium dioxide nanotube arr...
A wealth of genetic, demographic, clinical and biomarker data is collected from routine clinical car...
Renal dysfunction is a common side-effect of chemotherapeuticagents in patients with hematopathy. Al...
The past decade has seen an explosion in the amount of digital information stored in electronic heal...
The classification of data streams is an interesting but also a challenging problem. A data stream m...
Determination of above ground biomass (AGB) of any forest is a longstanding scientific endeavor, whi...
Mental stress has been identified as one of the major contributing factors that leads to various dis...
Molecular imaging enables the visualization and quantitative analysis of the alterations of biologic...
Assessing attachment in adolescents is important due to relations between insecurity and psychopatho...
Epidemiological studies often utilize stratified data in which rare outcomes or exposures are artifi...
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artif...
Artificial Neural Networks (ANNs) are commonly used in place of expensive models to reduce the compu...
BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to cont...