Opportunities and challenges for machine learning in materials science
Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …
the discovery of novel materials and the improvement of molecular simulations, with likely …
Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis
The past decade has seen an explosion in the amount of digital information stored in
electronic health records (EHRs). While primarily designed for archiving patient information …
electronic health records (EHRs). While primarily designed for archiving patient information …
[HTML][HTML] A large language model for electronic health records
There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …
[HTML][HTML] Accessing artificial intelligence for clinical decision-making
C Giordano, M Brennan, B Mohamed… - Frontiers in digital …, 2021 - frontiersin.org
Advancements in computing and data from the near universal acceptance and
implementation of electronic health records has been formative for the growth of …
implementation of electronic health records has been formative for the growth of …
[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
[HTML][HTML] Electronic health records: then, now, and in the future
RS Evans - Yearbook of medical informatics, 2016 - thieme-connect.com
Objectives: Describe the state of Electronic Health Records (EHRs) in 1992 and their
evolution by 2015 and where EHRs are expected to be in 25 years. Further to discuss the …
evolution by 2015 and where EHRs are expected to be in 25 years. Further to discuss the …
Natural language processing in radiology: a systematic review
Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …
health record, which is potentially a valuable source of information for improving clinical care …
Big data in health care: using analytics to identify and manage high-risk and high-cost patients
The US health care system is rapidly adopting electronic health records, which will
dramatically increase the quantity of clinical data that are available electronically …
dramatically increase the quantity of clinical data that are available electronically …
[HTML][HTML] Deep learning for electronic health records: A comparative review of multiple deep neural architectures
Despite the recent developments in deep learning models, their applications in clinical
decision-support systems have been very limited. Recent digitalisation of health records …
decision-support systems have been very limited. Recent digitalisation of health records …
Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) case register: current status and recent …
Purpose The South London and Maudsley National Health Service (NHS) Foundation Trust
Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive …
Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive …