Deep learning in healthcare: applications, challenges, and opportunities
J Chaki - Next Generation Healthcare Informatics, 2022 - Springer
Obtaining information and real-time insights from complicated, high-dimensional, and
diverse biological data is a major problem in healthcare transformation. In current …
diverse biological data is a major problem in healthcare transformation. In current …
Clinical big data and deep learning: Applications, challenges, and future outlooks
The explosion of digital healthcare data has led to a surge of data-driven medical research
based on machine learning. In recent years, as a powerful technique for big data, deep …
based on machine learning. In recent years, as a powerful technique for big data, deep …
Foundations of deep learning and its applications to health informatics
Deep learning, a subfield of artificial intelligence, has shown exponential growth in health
care applications. With the improvement of computational power and advances in big data …
care applications. With the improvement of computational power and advances in big data …
Deep learning in biomedical informatics
CL Hung - Intelligent Nanotechnology, 2023 - Elsevier
With the massive influx of multimodal data in the last decade, the role of data analytics in
health informatics has grown rapidly. Deep learning (DL) is defined as a technology based …
health informatics has grown rapidly. Deep learning (DL) is defined as a technology based …
Machine learning and deep learning methods for building intelligent systems in medicine and drug discovery: A comprehensive survey
GJ Chowdary - arXiv preprint arXiv:2107.14037, 2021 - arxiv.org
With the advancements in computer technology, there is a rapid development of intelligent
systems to understand the complex relationships in data to make predictions and …
systems to understand the complex relationships in data to make predictions and …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
[图书][B] Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning
Methods presents comprehensive research on both medical imaging and medical signals …
Methods presents comprehensive research on both medical imaging and medical signals …
[图书][B] Introduction to deep learning for healthcare
This textbook presents deep learning models and their healthcare applications. It focuses on
rich health data and deep learning models that can effectively model health data. Healthcare …
rich health data and deep learning models that can effectively model health data. Healthcare …
[图书][B] Deep learning in biology and medicine
Biology, medicine and biochemistry have become data-centric fields for which Deep
Learning methods are delivering groundbreaking results. Addressing high impact …
Learning methods are delivering groundbreaking results. Addressing high impact …
[HTML][HTML] Medical deep learning—A systematic meta-review
Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …
few years. For example, in image processing and analysis, deep learning algorithms were …