Predict and Classify Anemia Based on Input Data.
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Updated
Jun 27, 2023 - Jupyter Notebook
Predict and Classify Anemia Based on Input Data.
Here you can have access to our group Master Thesis 2022 code by Stata.
El objetivo principal de este estudio consiste en aplicar algoritmos como Regresión Logística y K-Nearest Neighbors (KNN) en los dos conjuntos de datos de clasificación binaria, al igual que explorar, analizar y evaluar el rendimiento de estos modelos.
In this project I build an anemia prediction application using Machine Learning and got an significant accuracy, precision and recall score after hyperparameter tuning.
Aplikasi Prediksi Penyakit Anemia pada Ibu Hamil menggunakan Machine Learning
This repositry features a DQN network for the pathway extraction in the process of prediction on which type of Anemia is the person suffering or not suffering Anemia at all. It is based on a Deep Reinforcement Learning based architecture and also has comparisons with state of the art Machine Learning Classifiers.
R code for the data managment and statistical analysis performed for Phenotyping Heart Failure Patients for Iron Deficiency/Anemia: Data from the Swedish Heart Failure Registry
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