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A Conceptual Framework for Predicting Premenstrual Syndrome (PMS) Symptoms in Professional Women Using SVM and ARIMA |
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| รหัสดีโอไอ | |
| Title | A Conceptual Framework for Predicting Premenstrual Syndrome (PMS) Symptoms in Professional Women Using SVM and ARIMA |
| Creator | Kay Thwe Min Han |
| Contributor | Paing Moe Kyaw |
| Publisher | INTERNATIONAL CONFERENCE ON ECONOMICS, BUSINESS AND INTERDISCIPLINARY STUDIES (ICEBIS) |
| Publication Year | 2567 |
| Keyword | Predictive Modeling, Premenstrual Syndrome (PMS), Support Vector Machines (SVM), Auto Regressive, Integrated Moving Average (ARIMA), Classification, Time |
| Language | EN |
| URL Website | https://conferences.icosiam.com/icebis/ |
| Website title | INTERNATIONAL CONFERENCE ON ECONOMICS, BUSINESS & INTERDISCIPLINARY STUDIES (ICEBIS) |
