Latest AI and machine learning research in information technology for healthcare professionals.
BACKGROUND: Developing predictive models for precision psychiatry is challenging because of unavailability of the necessary data: extracting useful information from existing electronic health record (EHR) data is not straightforward, and available clinical trial datasets are often not representative for heterogeneous patient groups. The aim of this study was constructing a natural language process...
Digital health, e-health, telemedicine-this abundance of terms illustrates the scientific and technical revolution at work, made possible by high-speed processing of health data, artificial intelligence (AI), and the profound upheavals currently taking place and yet to come in health systems [...].
Machine-learning based risk prediction models have the potential to improve patient outcomes by assessing risk more accurately than clinicians. Signif...
One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ...
The exponential rise in advanced software computing and low-cost hardware has broadened the horizon for the Internet of Medical Things (IoMT), interop...
OBJECTIVE: To create a new methodology that has a single simple rule to identify height outliers in the electronic health records (EHR) of children.
Network Digital Twin (NDT) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical obj...
Industry 4.0 and digital transformation will likely come with an era of changes for most manufacturers and tech industries, and even healthcare delive...
(1) Backgroud: For future national digital healthcare policy development, it is vital to collect baseline data on the infrastructure and services of m...
The multi-modal and unstructured nature of observational data in Electronic Health Records (EHR) is currently a significant obstacle for the applicati...
In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to ...
In recent years, studies on malware analysis have noticeably increased in the cybersecurity community. Most recent studies concentrate on malware clas...
BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Me...
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML)...
Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has many unique features including its acting as a dece...
IMPORTANCE: Predicting postoperative complications has the potential to inform shared decisions regarding the appropriateness of surgical procedures, ...
Web applications have become ubiquitous for many business sectors due to their platform independence and low operation cost. Billions of users are vis...
BACKGROUND: Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are...
BACKGROUND: Chronic cough affects approximately 10% of adults. The lack of ICD codes for chronic cough makes it challenging to apply supervised learni...
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is c...