An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population
Abstract
:1. Introduction
2. Methods
2.1. Patients
2.2. Patient Data
2.3. Data Preprocessing
2.4. Data Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Assessment | Model Statistic | |||||
---|---|---|---|---|---|---|
% PA | % MS | % CC | ||||
Train set | Test set | Train set | Test set | Train set | Test set | |
mFFP | 84.07 | 50.99 | 73.75 | 54.84 | 90.84 | 54.58 |
mFiND | 86.67 | 60.92 | 80.42 | 64.65 | 92.43 | 66.53 |
Rank | Non-Frail | Pre-Frail | Frail | |||
---|---|---|---|---|---|---|
Variables | ΔSOMDI | Variables | ΔSOMDI | Variables | ΔSOMDI | |
1 | Income | 0.126 | Sex | 0.081 | CA/GL | 0.440 |
2 | Income source | 0.093 | CA/GL | 0.040 | Age | 0.236 |
3 | JBR | 0.093 | Gout | 0.035 | Sex | 0.234 |
4 | Educate | 0.090 | Polypharmacy | 0.034 | Other diseases | 0.171 |
5 | Height | 0.079 | Stroke | 0.032 | Stroke | 0.112 |
6 | SI | 0.030 | Polypharmacy | 0.097 | ||
7 | Cancer | 0.029 | Gout | 0.097 | ||
8 | Age | 0.028 | UD | 0.081 | ||
9 | SI | 0.037 |
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Chumha, N.; Funsueb, S.; Kittiwachana, S.; Rattanapattanakul, P.; Lerttrakarnnon, P. An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population. Int. J. Environ. Res. Public Health 2020, 17, 6808. https://doi.org/10.3390/ijerph17186808
Chumha N, Funsueb S, Kittiwachana S, Rattanapattanakul P, Lerttrakarnnon P. An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population. International Journal of Environmental Research and Public Health. 2020; 17(18):6808. https://doi.org/10.3390/ijerph17186808
Chicago/Turabian StyleChumha, Nawapong, Sujitra Funsueb, Sila Kittiwachana, Pimonpan Rattanapattanakul, and Peerasak Lerttrakarnnon. 2020. "An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population" International Journal of Environmental Research and Public Health 17, no. 18: 6808. https://doi.org/10.3390/ijerph17186808