Latest AI and machine learning research in information technology for healthcare professionals.
Throughout recent times, cybersecurity problems have occurred in various business applications. Alth...
Prognostic modelling is important in clinical practice and epidemiology for patient management and r...
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from ...
BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assiste...
OBJECTIVE AND BACKGROUND: The exponential growth of the unstructured data available in biomedical li...
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic ...
BACKGROUND: This study demonstrates clinical named entity recognition (NER) methods on the clinical ...
Advances in communication technologies have paved the way for telemedicine to transform the delivery...
BACKGROUND: Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failu...
The safety of medication use has been a priority in the United States since the late 1930s. Recently...
This article reviews recent advances in applying natural language processing (NLP) to Electronic Hea...
There have been rapidly growing applications using machine learning models for predictive analytics ...
Recently, recurrent neural networks (RNNs) have been applied in predicting disease onset risks with ...
Ontologies and terminologies have been identified as key resources for the achievement of semantic i...
If Electronic Health Records contain a large amount of information about the patient's condition and...
With the widespread adoption of electronic health records (EHRs), large repositories of structured a...
OBJECTIVE: To conduct a replication study to validate previously identified significant risks and in...
BACKGROUND: Prompted by the frequency of concomitant use of prescription drugs with natural products...
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data...
OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical...
With increased use of electronic medical records (EMRs), data mining on medical data has great poten...