[HTML][HTML] Artificial intelligence in healthcare: review and prediction case studies
Artificial intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …
algorithms, hardware implementation, and applications in a vast number of areas. In this …
Natural language processing in medicine: a review
S Locke, A Bashall, S Al-Adely, J Moore… - Trends in Anaesthesia …, 2021 - Elsevier
Natural language processing (NLP) is a form of machine learning which enables the
processing and analysis of free text. When used with medical notes, it can aid in the …
processing and analysis of free text. When used with medical notes, it can aid in the …
Prompt engineering for healthcare: Methodologies and applications
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …
involves designing and optimizing the prompts used to input information into models, aiming …
Recurrent neural networks for multivariate time series with missing values
Multivariate time series data in practical applications, such as health care, geoscience, and
biology, are characterized by a variety of missing values. In time series prediction and other …
biology, are characterized by a variety of missing values. In time series prediction and other …
Next-generation phenotyping of electronic health records
G Hripcsak, DJ Albers - Journal of the American Medical …, 2013 - academic.oup.com
The national adoption of electronic health records (EHR) promises to make an
unprecedented amount of data available for clinical research, but the data are complex …
unprecedented amount of data available for clinical research, but the data are complex …
Evaluating temporal relations in clinical text: 2012 i2b2 challenge
Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …
Natural Language Processing Challenge for Clinical Records focused on the temporal …
[图书][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
[HTML][HTML] What can natural language processing do for clinical decision support?
D Demner-Fushman, WW Chapman… - Journal of biomedical …, 2009 - Elsevier
Computerized clinical decision support (CDS) aims to aid decision making of health care
providers and the public by providing easily accessible health-related information at the …
providers and the public by providing easily accessible health-related information at the …
[HTML][HTML] Technical language processing: Unlocking maintenance knowledge
Out-of-the-box natural-language processing (NLP) pipelines need re-imagining to
understand and meet the requirements of engineering data. Text-based documents account …
understand and meet the requirements of engineering data. Text-based documents account …
Automated methods for the summarization of electronic health records
R Pivovarov, N Elhadad - Journal of the American Medical …, 2015 - academic.oup.com
Objectives This review examines work on automated summarization of electronic health
record (EHR) data and in particular, individual patient record summarization. We organize …
record (EHR) data and in particular, individual patient record summarization. We organize …