Automated machine learning for healthcare and clinical notes analysis
A Mustafa, M Rahimi Azghadi - Computers, 2021 - mdpi.com
Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …
impact has been astonishing. To accelerate embedding ML in more applications and …
[HTML][HTML] Clinical concept extraction: a methodology review
Background Concept extraction, a subdomain of natural language processing (NLP) with a
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach
WH Weng, KB Wagholikar, AT McCray… - BMC medical informatics …, 2017 - Springer
Background The medical subdomain of a clinical note, such as cardiology or neurology, is
useful content-derived metadata for developing machine learning downstream applications …
useful content-derived metadata for developing machine learning downstream applications …
Machine learning techniques for biomedical natural language processing: a comprehensive review
EH Houssein, RE Mohamed, AA Ali - IEEE Access, 2021 - ieeexplore.ieee.org
The widespread use of electronic health records (EHR) systems in health care provides a
large amount of real-world data, leading to new areas for clinical research. Natural language …
large amount of real-world data, leading to new areas for clinical research. Natural language …
Med7: A transferable clinical natural language processing model for electronic health records
Electronic health record systems are ubiquitous and the majority of patients' data are now
being collected electronically in the form of free text. Deep learning has significantly …
being collected electronically in the form of free text. Deep learning has significantly …
Electronic health records-driven phenotyping: challenges, recent advances, and perspectives
With the completion of the Human Genome Project1 as well as recent advances in genomic
science and comparative biological studies, a new era of individualized medicine is evolving …
science and comparative biological studies, a new era of individualized medicine is evolving …
Named entity recognition in Chinese clinical text using deep neural network
Rapid growth in electronic health records (EHRs) use has led to an unprecedented
expansion of available clinical data in electronic formats. However, much of the important …
expansion of available clinical data in electronic formats. However, much of the important …
[图书][B] Healthcare data analytics
CK Reddy, CC Aggarwal - 2015 - books.google.com
Supplying a comprehensive overview of healthcare analytics research, Healthcare Data
Analytics provides an understanding of the analytical techniques currently available to solve …
Analytics provides an understanding of the analytical techniques currently available to solve …
How machine learning is changing e-government
C Alexopoulos, Z Lachana… - Proceedings of the 12th …, 2019 - dl.acm.org
Big Data is, clearly, an integral part of modern information societies. A vast amount of data is
daily produced and it is estimated that, for the years to come, this number will grow …
daily produced and it is estimated that, for the years to come, this number will grow …
Combining unsupervised, supervised and rule-based learning: the case of detecting patient allergies in electronic health records
Background Data mining of electronic health records (EHRs) has a huge potential for
improving clinical decision support and to help healthcare deliver precision medicine …
improving clinical decision support and to help healthcare deliver precision medicine …