Latest AI and machine learning research in surveys for healthcare professionals.
In this article, a delay-compensation-based state estimation (DCBSE) method is given for a class of discrete time-varying complex networks (DTVCNs) subject to network-induced incomplete observations (NIIOs) and dynamical bias. The NIIOs include the communication delays and fading observations, where the fading observations are modeled by a set of mutually independent random variables. Moreover, th...
Artificial Intelligence (AI) has been applied successfully in many real-life domains for solving complex problems. With the invention of Machine Learning (ML) paradigms, it becomes convenient for researchers to predict the outcome based on past data. Nowadays, ML is acting as the biggest weapon against the COVID-19 pandemic by detecting symptomatic cases at an early stage and warning people about ...
Predicting recovery after trauma is important to provide patients a perspective on their estimated future health, to engage in shared decision making ...
In this paper, a neural network algorithm is used to conduct in-depth research and analysis on the sales dynamics prediction of virtual community know...
After wars, some unexploded bombs remained underground, and these faulty bombs seriously threaten the safety of people. The ability to accurately iden...
In the context of multicultural information, to explore and analyze the use effect of voice interactive educational robot in the classroom of adolesce...
A wearable silent speech interface (SSI) is a promising platform that enables verbal communication without vocalization. The most widely studied metho...
Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recognition of everyday objects. Performance of DNNs has...
Few studies have investigated the validity of 2D pose estimation models to evaluate kinematics throughout a motion and none have included adolescents....
Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generaliz...
The field of dermatology is met with many subjective analysis methods. Due to the relative nature of subjective analysis methods, objective analysis m...
Computer Coded Verbal Autopsy (CCVA) algorithms are commonly used to determine the cause of death (CoD) from questionnaire responses extracted from ve...
CTR (Click-Through Rate) prediction has attracted more and more attention from academia and industry for its significant contribution to revenue. In t...
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become an increasingly important source of real-world data...
While high lipophilicity tends to improve potency, its effects on pharmacokinetics (PK) are complex and often unfavorable. To predict clinical PK in e...
Exchanging gradient is a widely used method in modern multinode machine learning system (e.g., distributed training, Federated Learning). Gradients an...
According to the standard guidelines by the FDA, process validation in biopharma manufacturing encompasses a life cycle consisting of three stages: pr...
Sasang constitutional medicine emphasizes personalized disease prevention and treatment and has been used in various fields. Nevertheless, more effort...
Effective prediction of aircraft failure rate has important guiding significance for formulating reasonable maintenance plans, carrying out reliable m...
This paper presents an integrated and scalable precision health service for health promotion and chronic disease prevention. Continuous real-time moni...