Research on Interactive Visualisation of Medical Data Based on ECharts
This paper presents an in-depth study of interactive visualisation of medical data based on ECharts.Firstly,the current application status of using ECharts in the field of efficient medical data visualisation and analysis is reported.The study investigates two cases in detail.The first case explores how ECharts can efficiently generate accuracy and loss rate curves at different learning rates(0.001 and 0.000 01)and how these curves can clearly demonstrate the dynamic change of a Deep Learning model during the training process.The second case targets the sleep health and lifestyle dataset to show the distribution ratio of insomnia,accessibility and sleep apnoea in different occupational groups.Through the two cases,this paper not only deepens the application understanding of ECharts in medical data visualisation,but also provides new perspectives and strong practical guidance for future research on the fields of medical data analysis and Deep Learning,highlighting the key role of ECharts in the fields of data science and visualisation.