Academic Journal
Performance Analysis of Algorithms on Different Types of Health Related Datasets
| العنوان: | Performance Analysis of Algorithms on Different Types of Health Related Datasets |
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| المؤلفون: | Khanom, N N, Nihar, F, Hassan, S S, Islam, L |
| المصدر: | Journal of Physics: Conference Series ; volume 1577, issue 1, page 012051 ; ISSN 1742-6588 1742-6596 |
| بيانات النشر: | IOP Publishing |
| سنة النشر: | 2020 |
| الوصف: | Healthcare related data are very important for people of the global community to make them aware of their lives and rights. By analyzing performances of different types of health-related data produce efficient valuable rich information; which can be used in further healthcare research. From the previous works we have seen, they have also tried to analyze the performances of algorithms to modify the accuracy but this study is unique as it has used lots of different types of health-related datasets and algorithms together to achieve better accuracy. This study aims to analyze performances of algorithms on different types of healthcare related data to produce effective information in order to assist global community in their daily life. This will help people to lead a healthy and comfortable life and innovate new ideas to further change their lifestyle. The effective information or the standard used here is the accuracy of the applied algorithms. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.1088/1742-6596/1577/1/012051 |
| DOI: | 10.1088/1742-6596/1577/1/012051/pdf |
| الاتاحة: | http://dx.doi.org/10.1088/1742-6596/1577/1/012051 https://iopscience.iop.org/article/10.1088/1742-6596/1577/1/012051/pdf https://iopscience.iop.org/article/10.1088/1742-6596/1577/1/012051 |
| Rights: | http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| رقم الانضمام: | edsbas.1635534A |
| قاعدة البيانات: | BASE |
| DOI: | 10.1088/1742-6596/1577/1/012051 |
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