Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence
TL;DR
This article presents a transparent anaemia prediction model using explainable AI to address global health challenges. It aims to improve patient outcomes by overcoming diagnostic variability and resource limitations.
Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence
Muhammad Sajid Farooq; Muhammad Hassan Ghulam Muhammad; Oualid Ali; Zahid Zeeshan; Muhammad Saleem; Munir Ahmad; Sagheer Abbas; Muhammad Adnan Khan; Taher M. Ghazal
https://doi.org/10.1109/ACCESS.2024.3522080
Volume 13
The worldwide health epidemic of anaemia which is a condition with low levels of red blood cells or haemoglobin requires accurate prediction models to act promptly and improve patient outcomes because it is widespread and has different causes. The effective management of anaemia is piled with obstructions, which may include the variability of diagnostic criteria, the resource limitations of health...