Early Detection of Preeclampsia using Machine Learning Algorithm
| dc.contributor.author | Fazlay Rabby, Fabliha Mahazabin Ahana, Nusrat Jahan Lammy, Julian Thoma Gomes | |
| dc.date.accessioned | 2026-04-17T10:31:28Z | |
| dc.date.issued | 2024-05-24 | |
| dc.identifier.uri | https://repository.ulab.edu.bd/handle/123456789/739 | |
| dc.language.iso | en | |
| dc.publisher | Department of Electrical and Electronic Engineering-EEE | |
| dc.subject | Preeclampsia | |
| dc.subject | Machine Learning | |
| dc.subject | Early Detection | |
| dc.subject | K-Nearest Neighbors (KNN) | |
| dc.subject | Logistic Regression (LR) | |
| dc.subject | Support Vector Machine (SVM) | |
| dc.subject | Department of Electrical and Electronic Engineering | |
| dc.subject | EEE | |
| dc.subject | Project Report | |
| dc.title | Early Detection of Preeclampsia using Machine Learning Algorithm | |
| dc.type | Project Report |
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