File:Fig4 Pathinarupothi BMCMedInfoDecMak2018 18.png

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Summary
Description |
Figure 4. AHE classification F1-score. The F1-scores of SVM models trained and tested for classifying the given 60 minutes of data as AHE or not using OTS, QTS (B=5,10,15,20), and MTS (W=5,10,15). It shows that QTS and MTS with different B and W values are able to classify the AHE signal with F1-scores that are better than one obtained using OTS SVM model. |
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Source |
Pathinarupothi, R.K.; Durga, P.; Rangan, E.S. (2018). "Data to diagnosis in global health: A 3P approach". BMC Medical Informatics and Decision Making 18: 78. doi:10.1186/s12911-018-0658-y. |
Date |
2018 |
Author |
Pathinarupothi, R.K.; Durga, P.; Rangan, E.S. |
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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current | 21:44, 5 February 2019 | ![]() | 785 × 631 (176 KB) | Shawndouglas (talk | contribs) |
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