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References

Оглавление

1. Bjartveit, K. and Tverdal, A., Health consequences of smoking 1–4 cigarettes per day. Tobacco Control, 14, 5, 315–320, 2005.

2. Weng, C.-H., Huang, T.C.-K., Han, R.-P., Disease prediction with different types of neural network classifiers. Telematics Inf., 33, 2, 277–292, 2016.

3. Alpaydın, E., Introduction to Machine Learning, 2nd edition, the MIT press, Cambridge, Massachusetts, 2010.

4. Harris, J.A. and Benedict, F.G., A Biometric Study of Human Basal Metabolism. Proc. Natl. Acad. Sci. U.S.A., 4, 12, 370–373, 1918.

5. Hirshkowitz, M., Whiton, K., Albert, S.M., Alessi, C., Bruni, O., DonCarlos, L., Hillard, P.J.A., National Sleep Foundation’s sleep time duration recommendations: Methodology and results summary. Sleep Health, 1, 1, 40–43, 2015.

6. Hung, C.-Y., Chen, W.-C., Lai, P.-T., Lin, C.-H., Lee, C.-C., Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3110–3113, 2017.

7. Nie, L., Wang, M., Zhang, L., Yan, S., Zhang, B., Chua, T.S., Disease inference from health-related questions via sparse deep learning. IEEE Trans. Knowl. Data Eng., 27, 8, 2107–2119, 2015.

8. Chen, M., Ma, Y., Song, J., Lai, C., Hu, B., Smart clothing: Connecting human with clouds and big data for sustainable health monitoring, in: ACM/Springer Mobile Networks and Applications Mobile, vol. 21, 5, pp. 825–845, 2016.

9. Chen, M., Hao, Y., Hwang, K., Wang, L., Wang, L., Disease Prediction by Machine Learning over Big Data from Healthcare Communities. IEEE Access, 5, 8869–8879, 2017.

10. Sahoo, P.K., Mohapatra, S.K., Wu, S.-L., Analyzing healthcare big data with prediction for future health condition. IEEE Access, 4, 9786–9799, 2016.

11. Schmidt, S.C.E., Tittlbach, S., Bös, K., Woll, A., Different Types of Physical Activity and Fitness and Health in Adults: An 18-Year Longitudinal Study. BioMed Res. Int., 2017, 2017.

12. Tayeb, S., Pirouz, M., Sun, J., Hall, K., Chang, A., Li, J., Latifi, S., Toward Predicting Medical Conditions Using kNearest Neighbors. IEEE International Conference on Big Data, pp. 3897–3903, 2017.

13. Mitchell, T.M., Machine Learning, McGraw Hill International Edition, New Yak City, 1997.

14. Du, Y., Gebremedhin, A.H., Taylor, M.E., Analysis of university fitness center data uncovers interesting patterns, enables prediction. IEEE Trans. Knowl. Data Eng., 31, 8, 1478–1490, 2019.

*Corresponding author: trk@nitw.ac.in

Machine Learning for Healthcare Applications

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