Text mining approaches for dealing with the rapidly expanding literature on COVID-19
More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …
2020 and several hundred new papers continue to be published every day. This incredible …
Automating data extraction in systematic reviews: a systematic review
Background Automation of the parts of systematic review process, specifically the data
extraction step, may be an important strategy to reduce the time necessary to complete a …
extraction step, may be an important strategy to reduce the time necessary to complete a …
Data extraction methods for systematic review (semi) automation: update of a living systematic review
Background: The reliable and usable (semi) automation of data extraction can support the
field of systematic review by reducing the workload required to gather information about the …
field of systematic review by reducing the workload required to gather information about the …
[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 …
ExaCT: automatic extraction of clinical trial characteristics from journal publications
Background Clinical trials are one of the most important sources of evidence for guiding
evidence-based practice and the design of new trials. However, most of this information is …
evidence-based practice and the design of new trials. However, most of this information is …
[HTML][HTML] The use of artificial intelligence for automating or semi-automating biomedical literature analyses: a sco** review
Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …
conscious and judicious use of the best available scientific evidence. However, the …
Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations
Research on extracting biomedical relations has received growing attention recently, with
numerous biological and clinical applications including those in pharmacogenomics, clinical …
numerous biological and clinical applications including those in pharmacogenomics, clinical …
Learning regular expressions for clinical text classification
DDA Bui, Q Zeng-Treitler - Journal of the American Medical …, 2014 - academic.oup.com
Objectives Natural language processing (NLP) applications typically use regular
expressions that have been developed manually by human experts. Our goal is to automate …
expressions that have been developed manually by human experts. Our goal is to automate …
Improving reference prioritisation with PICO recognition
Background Machine learning can assist with multiple tasks during systematic reviews to
facilitate the rapid retrieval of relevant references during screening and to identify and …
facilitate the rapid retrieval of relevant references during screening and to identify and …
[HTML][HTML] Automating quality assessment of medical evidence in systematic reviews: model development and validation study
Background Assessment of the quality of medical evidence available on the web is a critical
step in the preparation of systematic reviews. Existing tools that automate parts of this task …
step in the preparation of systematic reviews. Existing tools that automate parts of this task …