Objectives: Clinical Practice Guidelines (CPGs) are an effective tool for minimizing the gap between a physician’s clinical de-cision and medical evidence and for modeling the systematic and standardized pathway used to provide better medical treat-ment to patients. Methods: In this study, sentences within the clinical guidelines are categorized according to a classification system. We used three clinical guidelines that incorporated knowledge from medical experts in the field of family medicine
Clinical Decision Support (CDS) tools are typically designed to assist physicians in clinical decisi...
Clinical practice guidelines (CPGs) are increasingly common in clinical medicine for prescribing a s...
This article belongs to the Special Issue Social Media and Public Health: Opportunities and Challeng...
International audienceGuideline-based clinical decision support systems (CDSSs) need the most recent...
Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, i...
Background: Pathology reports serve as an auditable trial of a patient’s clinical narrative, contain...
In Australia, hospital discharge summaries created at the end of an episode of care contain patient ...
Published as textual documents, clinical practice guidelines (CPGs) didn't demonstrate to impact phy...
In this study, we investigate different strategies for assigning MeSH (Medical Subject Headings) ter...
The use of machine learning in medical decision support systems can improve diagnostic accuracy and ...
The stages of clinical trials need to be carried out when determining a new drug group for patient m...
Clinical practice guidelines (CPG) describe recommended actions for diagnosis and treatment of vario...
Hypertension, as a cardiovascular risk factor, is a public health issue for which many clinical prac...
This paper proposes text mining of clinical practices to extract decision-making steps. These steps ...
Representing clinical guidelines is a very complex knowledge-representation task, requiring a lot of...
Clinical Decision Support (CDS) tools are typically designed to assist physicians in clinical decisi...
Clinical practice guidelines (CPGs) are increasingly common in clinical medicine for prescribing a s...
This article belongs to the Special Issue Social Media and Public Health: Opportunities and Challeng...
International audienceGuideline-based clinical decision support systems (CDSSs) need the most recent...
Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, i...
Background: Pathology reports serve as an auditable trial of a patient’s clinical narrative, contain...
In Australia, hospital discharge summaries created at the end of an episode of care contain patient ...
Published as textual documents, clinical practice guidelines (CPGs) didn't demonstrate to impact phy...
In this study, we investigate different strategies for assigning MeSH (Medical Subject Headings) ter...
The use of machine learning in medical decision support systems can improve diagnostic accuracy and ...
The stages of clinical trials need to be carried out when determining a new drug group for patient m...
Clinical practice guidelines (CPG) describe recommended actions for diagnosis and treatment of vario...
Hypertension, as a cardiovascular risk factor, is a public health issue for which many clinical prac...
This paper proposes text mining of clinical practices to extract decision-making steps. These steps ...
Representing clinical guidelines is a very complex knowledge-representation task, requiring a lot of...
Clinical Decision Support (CDS) tools are typically designed to assist physicians in clinical decisi...
Clinical practice guidelines (CPGs) are increasingly common in clinical medicine for prescribing a s...
This article belongs to the Special Issue Social Media and Public Health: Opportunities and Challeng...