Application of artificial intelligence in medicine: an overview
Artificial intelligence (AI) is a new technical discipline that uses computer technology to
research and develop the theory, method, technique, and application system for the …
research and develop the theory, method, technique, and application system for the …
TIPTA YAPAY ZEKA UYGULAMALARI
H Keleş - Kırıkkale Üniversitesi Tıp Fakültesi Dergisi, 2022 - dergipark.org.tr
Artificial Intelligence (AI) is a set of algorithms that exhibit human skills such as reasoning,
learning, classification and creativity with the help of a machine. These AI algorithms attempt …
learning, classification and creativity with the help of a machine. These AI algorithms attempt …
A framework for airborne infection risk assessment based on real-time occupant distribution prediction in outpatient waiting space
L Wei, G Liu, Y Yuan, W Liu, W Li - Journal of Building Engineering, 2023 - Elsevier
Outpatient waiting space (OWS) is a place with high risks of cross-infection and epidemic
transmission of infectious respiratory diseases in hospitals. The dynamic changes of …
transmission of infectious respiratory diseases in hospitals. The dynamic changes of …
[HTML][HTML] 基于SSA-LSTM 的短期电离层TEC 组合预报模型
吴晗， 黄玲， 刘立龙， 黄良珂， 章红平 - 大地测量与地球动力学, 2022 - html.rhhz.net
针对电离层总电子含量(TEC) 时间序列具有高噪声, 非线性和非平稳的特性,
在奇异谱分析基础上, 融合长短期记忆神经网络模型构建短期电离层组合预报改进模型 …
在奇异谱分析基础上, 融合长短期记忆神经网络模型构建短期电离层组合预报改进模型 …
[HTML][HTML] Prediction of outpatient waiting time: using machine learning in a tertiary children's hospital
X Li, W Liu, W Kong, W Zhao, H Wang… - Translational …, 2023 - ncbi.nlm.nih.gov
Background Accurately predicting waiting time for patients is crucial for effective hospital
management. The present study examined the prediction of outpatient waiting time in a …
management. The present study examined the prediction of outpatient waiting time in a …
[HTML][HTML] Monitoring and alerting the physicians related to trauma cases using behavioural DL models
Presently Every nation places a high value on healthcare due to the rise in trauma
instances. The ideal approach in this case is thought to be an Internet of Things (IoT) based …
instances. The ideal approach in this case is thought to be an Internet of Things (IoT) based …
[PDF][PDF] GP Post Call Wait Times Predictions Using LSTM
J Tian - 2023 - studenttheses.uu.nl
This study investigates the application of Long Short-Term Memory (LSTM) networks to
predict call waiting times at General Practitioner (GP) posts in the Netherlands, a critical …
predict call waiting times at General Practitioner (GP) posts in the Netherlands, a critical …
[图书][B] Explainable Artificial Intelligence (XAI) in Healthcare
This book highlights the use of explainable artificial intelligence (XAI) for healthcare
problems, in order to improve trustworthiness, performance and sustainability levels in the …
problems, in order to improve trustworthiness, performance and sustainability levels in the …
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic
Z Liang, Z Xue, Y Feng, S Rajaraman… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This study introduces a new ensemble architecture to improve the wait time forecast for
healthcare service in the emergency department (ED) of hospital. The new model first used …
healthcare service in the emergency department (ED) of hospital. The new model first used …
[HTML][HTML] 分量式钻孔应变观测的最佳方案
张永庆， 赵树贤， 邱泽华， 唐磊 - 大地测量与地球动力学, 2022 - html.rhhz.net
针对现有四分量钻孔应变仪观测准确性自检不完整的问题, 着眼于钻孔应变仪的未来发展,
在理论上推导出n≥ 3 分量水平等间隔钻孔应变观测方案的面应变, N 向差应变和N …
在理论上推导出n≥ 3 分量水平等间隔钻孔应变观测方案的面应变, N 向差应变和N …