A Linear Model Based on Principal Component Analysis for Disease Prediction
Various classification methods are applied to predict different diseases, such as diabetes, tuberculosis, and so on, in medical field. Diagnosis of diabetes can be analyzed by checking the level of blood sugar of patient with the normal known levels, blood pressure, BMI, skin thickness, and so on. S...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8781773/ |