Predict and Classify Anemia Based on Input Data.
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Updated
Mar 28, 2025 - Jupyter Notebook
Predict and Classify Anemia Based on Input Data.
Here you can have access to our group Master Thesis 2022 code by Stata.
Non-invasive haemoglobin screening from smartphone conjunctiva images, with a skin-tone fairness audit. Browser-side inference.
🩺 AI-powered multi-disease prediction system using ML. Predicts Anemia, Thalassemia, Diabetes, Heart Disease & Thrombocytopenia from blood biomarkers. Built with Python, Streamlit & scikit-learn. Features admin panel, PDF reports & role-based access control.
A complete overview and insight into my project to detect functional Anemia through Non-Invasive method.
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.
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
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.
Aplikasi Prediksi Penyakit Anemia pada Ibu Hamil menggunakan Machine Learning
In this project I build an anemia prediction application using Machine Learning and got an significant accuracy, precision and recall score after hyperparameter tuning.
Machine Learning-based Flask web application for predicting anemia using blood test parameters.
Quantum Kernel SVM for Anemia Prediction
To associate your repository with the anemia topic, visit your repo's landing page and select "manage topics."