Machine learning and algorithmic fairness in public and population health

V Mhasawade, Y Zhao, R Chunara - Nature Machine Intelligence, 2021 - nature.com
Until now, much of the work on machine learning and health has focused on processes
inside the hospital or clinic. However, this represents only a narrow set of tasks and …

Evaluation of smart response systems for city emergencies and novel UV-oriented solution for integration, resilience, inclusiveness and sustainability

Z Yang, H Xie, Y Xu, Q Xu, Y Zhang… - … on Universal Village …, 2020 - ieeexplore.ieee.org
At present, frequent natural and human-involved disasters and urgent events pose serious
threats to human society and call for the smart response system for city emergencies to …

Machine Learning in Population and Public Health

V Mhasawade, Y Zhao, R Chunara - arXiv preprint arXiv:2008.07278, 2020 - arxiv.org
Research in population and public health focuses on the mechanisms between different
cultural, social, and environmental factors and their effect on the health, of not just …

Machine Learning in Healthcare

S Kushwaha, R Srivastava, H Vats… - Machine Learning for …, 2022 - igi-global.com
Abstract Machine learning approaches are utilized in healthcare for computational decision-
making in cases where critical medical data analysis is required to identify hidden linkages …

[图书][B] Mastering Disruptive Technologies: Applications of Cloud Computing, IoT, Blockchain, Artificial Intelligence & Machine Learning Techniques

RK Dhanaraj, SR Jena, AK Yadav, V Rajasekar - 2021 - books.google.com
About the Book: The book is divided into 4 modules which consist of 21 chapters, that
narrates briefly about the top five recent emerging trends such as: Cloud Computing, Internet …

[引用][C] Analyzing the Most Relevant Predictors for Adult Coronary Heart Disease using Machine Learning

M Naufaldi, S Jovita, NN Qomariyah - International Journal of Application on Sciences …, 2023