Machine Learning: Health - IOPscience
Machine Learning: Health is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across …
Machine Learning and Deep Learning for Healthcare Data Processing …
The author suggested that machine learning models based on multiple pathways, multiple ethnicities, and real-world and clinical trial data are required for data-driven decision-making and precision …
A systematic review of quantum machine learning for digital health
May 2, 2025 · The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning …
Addressing bias in big data and AI for health care: A call for open ...
Keywords: artificial intelligence, deep learning, health care, bias, open science, participatory science, data standards The bigger picture Bias in the medical field can be dissected along three directions: …
What is machine learning? - IBM
Machine learning is the subset of artificial intelligence (AI) focused on algorithms that can “learn” the patterns of training data and, subsequently, make accurate inferences about new data. This pattern …
Shifting machine learning for healthcare from development to
Jul 4, 2022 · This Review discusses the use of deep generative models, federated learning and transformer models to address challenges in the deployment of machine learning for healthcare.
Deep learning and its applications to machine health monitoring
Jan 15, 2019 · In modern manufacturing systems, data-driven machine health monitoring is gaining in popularity due to the widespread deployment of low-cost sensors and their connection to the …
(PDF) Using machine learning to predict disease ... - ResearchGate
Dec 14, 2024 · Machine learning (ML) offers transformative potential in this domain, leveraging its ability to process large datasets, identify complex patterns, and provide real-time insights.
A Comprehensive Review on Machine Learning in Healthcare Industry ...
Recently, various sophisticated methods, including machine learning and artificial intelligence, have been employed to examine health-related data. Medical professionals are acquiring enhanced …
Machine learning-driven framework for realtime air quality …
Aug 6, 2025 · The primary goal of this research is to develop a comprehensive framework that utilises machine learning to assess air quality in real-time and to predict associated health risks with high …