[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities

A Rahman, T Debnath, D Kundu, MSI Khan… - AIMS Public …, 2024 - ncbi.nlm.nih.gov
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

[HTML][HTML] A hybrid ensemble learning approach utilizing light gradient boosting machine and category boosting model for lifestyle-based prediction of type-II diabetes …

M Nagassou, RW Mwangi, E Nyarige - Journal of Data Analysis and …, 2023 - scirp.org
Addressing classification and prediction challenges, tree ensemble models have gained
significant importance. Boosting ensemble techniques are commonly employed for …

Optimizing dialysis water treatment based on medical planning requirements

GGN Geweid, MA Abdallah, V Minakova… - Expert Systems with …, 2024 - Elsevier
This paper introduces a new approach to improving hemodialysis and peritoneal dialysis
processes. This maintains compatibility between the water treatment unit and active dialysis …

Data Analytics and Public Health

HA Guadie - … Health Informatics: Implementation and Governance in …, 2024 - Springer
Gathering significant amounts of information from different sources and formats is a major
real-world challenge. Small amounts of data can only be stored using traditional databases …

A Framework for Prediction of Type II Diabetes through Ensemble Stacking Model

R Patil, A Patil, S Janrao, S Bankar… - Journal of Electronics …, 2024 - jeeemi.org
In order to prevent long term complications of diabetes its early diagnosis is crucial. With
Increasing advances in Artifical Intelligence (AI) and Machine Learning (ML) researchers are …

[PDF][PDF] Employing Machine Learning For Predictive Data Analytics In Healthcare

LR Lekkala - academia.edu
One of the most significant innovations in the field technology is machine learning. It has
become one of the most powerful tools in data analytics to help scientists gain valuable …