Interpretability of machine learning‐based prediction models in healthcare

G Stiglic, P Kocbek, N Fijacko, M Zitnik… - … : Data Mining and …, 2020 - Wiley Online Library
There is a need of ensuring that learning (ML) models are interpretable. Higher
interpretability of the model means easier comprehension and explanation of future …

Machine learning algorithms for efficient water quality prediction

M Azrour, J Mabrouki, G Fattah, A Guezzaz… - Modeling Earth Systems …, 2022 - Springer
Water is an essential resource for human existence. In fact, more than 60% of the human
body is made up of water. Our bodies consume water in every cell, in the different organisms …

Data-driven early diagnosis of chronic kidney disease: development and evaluation of an explainable AI model

PA Moreno-Sánchez - IEEE Access, 2023 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is currently experiencing a growing worldwide incidence
and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare …

Diagnosis of crime rate against women using k-fold cross validation through machine learning

P Tamilarasi, RU Rani - 2020 fourth international conference on …, 2020 - ieeexplore.ieee.org
Crime against women has become a very big problem of our nation. Many countries are
trying to control this offence continuously and its prevention is an essential task. In recent …

Development of an explainable prediction model of heart failure survival by using ensemble trees

PA Moreno-Sanchez - … international conference on big data (big …, 2020 - ieeexplore.ieee.org
Cardiovascular diseases (CVD) are the leading cause of death globally. Heart failure
prediction, one of the CVD manifestations, has become a priority for doctors, however, up to …

Comparative analysis of machine learning algorithms for early prediction of diabetes mellitus in women

S Malik, S Harous, H El-Sayed - International Symposium on Modelling …, 2020 - Springer
Diabetes is a chronic disease characterized by hyperglycemia where a person suffers from a
high level of blood sugar, which leads to complications such as blindness, cardiovascular …

Improvement of a prediction model for heart failure survival through explainable artificial intelligence

PA Moreno-Sanchez - Frontiers in Cardiovascular Medicine, 2023 - frontiersin.org
Cardiovascular diseases and their associated disorder of heart failure (HF) are major
causes of death globally, making it a priority for doctors to detect and predict their onset and …

Interpretable machine learning models to support differential diagnosis between Ischemic Heart Disease and Dilated Cardiomyopathy

K Iscra, A Miladinović, M Ajčević, S Starita… - Procedia Computer …, 2022 - Elsevier
The differential diagnosis between Ischemic Heart Disease (IHD) and Dilated
Cardiomyopathy (DCM), particularly in the early stages of the diseases, can often be difficult …

Interpretable machine learning: a case study of healthcare

FY Okay, M Yıldırım, S Özdemir - … International Symposium on …, 2021 - ieeexplore.ieee.org
With the evolution of artificial intelligence, Machine Learning (ML) techniques have become
more powerful predictors, and accordingly, the use of ML techniques has become a part of …

The Effect of Feature Selection on Diabetes Prediction Using Machine Learning

R Alhalaseh, DAG AL-Mashhadany… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Diabetes arises from inadequate insulin production or ineffective response to insulin in the
body, leading to long-term health complications such as cardiovascular disorders and organ …