anemia

Predict and Classify Anemia Based on Input Data.

Here you can have access to our group Master Thesis 2022 code by Stata.

It is a mobile application that can diagnose anemia with 3 different trees used in medical statistics.

Non-invasive haemoglobin screening from smartphone conjunctiva images, with a skin-tone fairness audit. Browser-side inference.

Web application for anemia education and risk assessment.

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.

A complete overview and insight into my project to detect functional Anemia through Non-Invasive method.

🩺 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.

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

Quantum Kernel SVM for Anemia Prediction

INFORMACION SOBRE LA ANEMIA

BESI | Bot Edukasi & Skrining Anemia Terintegrasi AI

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.