Titlebook: Health Information Science; 11th International C Agma Traina,Hua Wang,Lu Chen Conference proceedings 2022 The Editor(s) (if applicable) and

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书目名称Health Information Science影响因子(影响力)




书目名称Health Information Science影响因子(影响力)学科排名




书目名称Health Information Science网络公开度




书目名称Health Information Science网络公开度学科排名




书目名称Health Information Science被引频次




书目名称Health Information Science被引频次学科排名




书目名称Health Information Science年度引用




书目名称Health Information Science年度引用学科排名




书目名称Health Information Science读者反馈




书目名称Health Information Science读者反馈学科排名

行乞

Detection of Obsessive-Compulsive Disorder in Australian Children and Adolescents Using Machine Learis crucial to identify the causes of this mental illness. Making an early and accurate diagnosis of OCD in children and adolescents is essential to preventing the long-term problems. Several studies have looked at ways to recognise OCD in children, but their accuracy was not very high and they only

严厉谴责

An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series amount of multi-source heterogeneous multivariate time series data is produced. Traditional data platforms have difficulties to organize and explore these data. In addition, the high dimensionality of multivariate time series also makes it difficult for the detection process to capture the correlat

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Medicaid

Combining Process Mining and Time Series Forecasting to Predict Hospital Bed Occupancymbine process mining and a Deep Spatial-Temporal Graph Modeling algorithm and show that this improves the performance of the prediction over existing approaches. To improve the model even more it is extended with knowledge available from patient records, like the day of the week, the time of the day

蛤肉

HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generatthe most crucial components in building intelligent diagnosis systems that provide clinical decision support to physicians. While various machine learning models for prescription generation have been created, they suffer from specific limitations (e.g., data complexity and semantic ambiguity, lack o

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