Artificial Intelegence In Maternal Health: Predictive Model and Data Chalenges in Preeclampsia Detection
Penerbit: PT Dewangga Energi Internasional
Penulis: Sukamto, Hadiyanto, Kurnianingsih, Tutuk Wijayantiningrum
Size: 100 halaman, B5
Sinopsis:
This book presents a comprehensive discussion on the concepts, challenges, and Techniqueological frameworks related to managing imbalanced medical datasets in the context of preeclampsia prediction. It discuss both traditional and modern algorithms—such as Decision Trees, Random Forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Ensemble Learning—as well as strategies for data resampling, feature selection, and hyperparameter optimization. Each approach is evaluated in terms of its performance, interpretability, and suitability for clinical implementation.
Artificial Intelegence In Maternal Health
Rp 400,000.00Rp 300,000.00Artificial Intelegence In Maternal Health:
Predictive Model and Data Chalenges
in Preeclampsia Detection
Penerbit: PT Dewangga Energi Internasional
Penulis: Sukamto, Hadiyanto, Kurnianingsih, Tutuk Wijayantiningrum
Size: 100 halaman, B5
Sinopsis:
This book presents a comprehensive discussion on the concepts, challenges, and Techniqueological frameworks related to managing imbalanced medical datasets in the context of preeclampsia prediction. It discuss both traditional and modern algorithms—such as Decision Trees, Random Forests, K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Ensemble Learning—as well as strategies for data resampling, feature selection, and hyperparameter optimization. Each approach is evaluated in terms of its performance, interpretability, and suitability for clinical implementation.
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