[HTML][HTML] Machine learning model for diagnostic method prediction in parasitic disease using clinical information
YW Lee, JW Choi, EH Shin - Expert Systems with Applications, 2021 - Elsevier
Diagnosing a parasitic disease is a very difficult job in clinical practice. In this study, we
constructed a machine learning model for diagnosis prediction using patient information …
constructed a machine learning model for diagnosis prediction using patient information …
Infection risk score: Identifying the risk of infection propagation based on human contact
R Agarwal, A Banerjee - Proceedings of the 1st ACM SIGSPATIAL …, 2020 - dl.acm.org
A wide range of approaches have been applied to manage the spread of global pandemic
events such as COVID-19, which have met with varying degrees of success. Given the large …
events such as COVID-19, which have met with varying degrees of success. Given the large …
Gdpr-inspired iot ontology enabling semantic interoperability, federation of deployments and privacy-preserving applications
Testing and experimentation are crucial for promoting innovation and building systems that
can evolve to meet high levels of service quality. IoT data that belong to users and from …
can evolve to meet high levels of service quality. IoT data that belong to users and from …
An AutoML Based Algorithm for Performance Prediction in HPC Systems
A Mankodi, A Bhatt, B Chaudhury - International Conference on Parallel …, 2022 - Springer
Neural networks are extensively utilized for building performance prediction models for high-
performance computing systems. It is challenging to construct the neural network …
performance computing systems. It is challenging to construct the neural network …