Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review
K Kreimeyer, M Foster, A Pandey, N Arya… - Journal of biomedical …, 2017 - Elsevier
We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …
generation sequencing technologies and rapid growth in biomedical publication has led to …
Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence
Generalized anxiety disorder (GAD) and major depressive disorder (MDD) are highly
prevalent and impairing problems, but frequently go undetected, leading to substantial …
prevalent and impairing problems, but frequently go undetected, leading to substantial …
A survey on recent named entity recognition and relationship extraction techniques on clinical texts
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
Clinician-facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI
Artificial Intelligence (AI) in medical applications holds great promise. However, the use of
Machine Learning-based (ML) systems in clinical practice is still minimal. It is uniquely …
Machine Learning-based (ML) systems in clinical practice is still minimal. It is uniquely …
[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 …
Psychosocial interventions for mental and substance use disorders: A framework for establishing evidence-based standards
ML Gonzalez, AS Butler, MJ England - 2015 - books.google.com
Mental health and substance use disorders affect approximately 20 percent of Americans
and are associated with significant morbidity and mortality. Although a wide range of …
and are associated with significant morbidity and mortality. Although a wide range of …
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 …
A review of recurrent neural network-based methods in computational physiology
Artificial intelligence and machine learning techniques have progressed dramatically and
become powerful tools required to solve complicated tasks, such as computer vision, speech …
become powerful tools required to solve complicated tasks, such as computer vision, speech …
[HTML][HTML] Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review
Abstract Background Natural Language Processing (NLP) applications have developed
over the past years in various fields including its application to clinical free text for named …
over the past years in various fields including its application to clinical free text for named …