[HTML][HTML] Trends and opportunities in computable clinical phenotyping: A scoping review
Identifying patient cohorts meeting the criteria of specific phenotypes is essential in
biomedicine and particularly timely in precision medicine. Many research groups deliver …
biomedicine and particularly timely in precision medicine. Many research groups deliver …
[HTML][HTML] Matching patients to clinical trials using semantically enriched document representation
Recruiting eligible patients for clinical trials is crucial for reliably answering specific
questions about medical interventions and evaluation. However, clinical trial recruitment is a …
questions about medical interventions and evaluation. However, clinical trial recruitment is a …
Cohort selection for clinical trials using deep learning models
I Segura-Bedmar, P Raez - Journal of the American Medical …, 2019 - academic.oup.com
Objective The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track
1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is …
1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is …
A unified machine reading comprehension framework for cohort selection
Cohort selection is an essential prerequisite for clinical research, determining whether an
individual satisfies given selection criteria. Previous works for cohort selection usually …
individual satisfies given selection criteria. Previous works for cohort selection usually …
Searchehr: a family history search system for clinical decision support
Finding patients with specific clinical conditions, such as having a familial disease history of
diabetes, is an important task for clinical decision support. Clinical notes in Electronic Health …
diabetes, is an important task for clinical decision support. Clinical notes in Electronic Health …
[HTML][HTML] Extraction of family history information from clinical notes: deep learning and heuristics approach
Background: Electronic health records store large amounts of patient clinical data. Despite
efforts to structure patient data, clinical notes containing rich patient information remain …
efforts to structure patient data, clinical notes containing rich patient information remain …
Matching Patients to Clinical Trials using LLaMA 2 Embeddings and Siamese Neural Network
Patient recruitment is a key desideratum for the success of a clinical trial that entails
identifying eligible patients that match the selection criteria for the trial. However, the …
identifying eligible patients that match the selection criteria for the trial. However, the …
Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information
Personalised treatment is usually needed for hospitalised patients afflicted by secondary
illnesses that demand daily medication. Even though clinical guidelines were designed to …
illnesses that demand daily medication. Even though clinical guidelines were designed to …
[PDF][PDF] trials using deep learning models. J Am Med Inform Assoc. 2019 Nov 1; 26 (11): 1181-1188.
I Segura-Bedmar, P Raez - Journal of the American Medical …, 2019 - e-archivo.uc3m.es
Objective: The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track
1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is …
1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is …