Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Discovering symptom patterns of COVID-19 patients using association rule mining
Background The COVID-19 pandemic is a significant public health crisis that is hitting hard
on people's health, well-being, and freedom of movement, and affecting the global economy …
on people's health, well-being, and freedom of movement, and affecting the global economy …
Identifying diseases symptoms and general rules using supervised and unsupervised machine learning
F Sogandi - Scientific Reports, 2024 - nature.com
The symptoms of diseases can vary among individuals and may remain undetected in the
early stages. Detecting these symptoms is crucial in the initial stage to effectively manage …
early stages. Detecting these symptoms is crucial in the initial stage to effectively manage …
Connections between various disorders: combination pattern mining using apriori algorithm based on diagnosis information from electronic medical records
H Ma, J Ding, M Liu, Y Liu - BioMed Research International, 2022 - Wiley Online Library
Objective. Short‐term or long‐term connections between different diseases have not been
fully acknowledged. This study was aimed at exploring the network association pattern …
fully acknowledged. This study was aimed at exploring the network association pattern …
Research and Application of an Improved Sparrow Search Algorithm
L Hu, D Wang - Applied Sciences, 2024 - mdpi.com
Association rule mining utilizing metaheuristic algorithms is a prominent area of study in the
field of data mining. However, when working with extensive data, conventional metaheuristic …
field of data mining. However, when working with extensive data, conventional metaheuristic …
Different co** patterns among us graduate and undergraduate students during COVID-19 pandemic: A machine learning approach
COVID-19 caused unprecedented disruptions to regular university operations worldwide.
Dealing with 100% virtual classrooms and suspension of essential in-person activities …
Dealing with 100% virtual classrooms and suspension of essential in-person activities …
[HTML][HTML] Discovering hidden associations among environmental disclosure themes using data mining approaches
Environmental concerns play a crucial role in sustainability and public opinion on supply
chains. This is why, how, and to what extent the firms experience environmental-related …
chains. This is why, how, and to what extent the firms experience environmental-related …
Association rule mining for prediction of COVID-19
VK Rai, S Chakraborty… - … Making: Applications in …, 2023 - dmame-journal.org
COVID-19 is a raging pandemic that has created havoc with its impact ranging from loss of
millions of human lives to social and economic disruptions of the entire world. The …
millions of human lives to social and economic disruptions of the entire world. The …
Factors relating to decision delay in the emergency department: effects of diagnostic tests and consultations
Purpose The purpose of this study is to investigate the factors increasing waiting time (WT)
and length of stay (LOS) in patients, which may cause delays in decision-making in the …
and length of stay (LOS) in patients, which may cause delays in decision-making in the …
Gender difference in psychological, cognitive, and behavioral patterns among university students during COVID-19: A machine learning approach
The COVID-19 pandemic affects all population segments and is especially detrimental to
university students because social interaction is critical for a rewarding campus life and …
university students because social interaction is critical for a rewarding campus life and …
Association rules mining for hospital readmission: A case study
As an indicator of healthcare quality and performance, hospital readmission incurs major
costs for healthcare systems worldwide. Understanding the relationships between …
costs for healthcare systems worldwide. Understanding the relationships between …