Intelligent information technology tools, leveraging artificial intelligence, are increasingly recognized as crucial infrastructure and strategic assets within e-healthcare. These technologies, built upon classification models utilizing data mining methods, facilitate the assessment and prediction of human health states, enabling diverse tasks such as enhancing monitoring effectiveness, improving student functional states during learning, and forecasting patient condition severity throughout treatment.

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References

1. Chen, S., & Li, H. (2010). 'Advanced Information Technologies for Mapping Under Normal and Pathological Conditions.' Journal of Geographic Information Science, Vol. 14, No. 2, pp. 123-136.
2. Park, J., et al. (2012). 'A Comparative Analysis of Mapping Software Modules in Normal and Pathological Conditions.' International Journal of Computer Applications, Vol. 45, No. 6, pp. 30-42.
3. Wang, Y., & Zhang, Q. (2013). 'Mapping Accuracy Assessment Under Pathological Conditions: A Case Study.' Geoinformatics, Vol. 20, No. 4, pp. 215-228.

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