Cargando…

Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use

OBJECTIVE: Clinical notes contain information that has not been documented elsewhere, including responses to treatment and clinical findings, which are crucial for predicting key outcomes in patients in acute care. In this study, we propose the automatic annotation of phenotypes from clinical notes...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Jingqing, Bolanos Trujillo, Luis Daniel, Tanwar, Ashwani, Ive, Julia, Gupta, Vibhor, Guo, Yike
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644312/ https://www.ncbi.nlm.nih.gov/pubmed/36351702 http://dx.doi.org/10.1136/bmjhci-2021-100519

Ejemplares similares

Annotation analysis for testing drug safety signals using unstructured clinical notes
por: LePendu, Paea, et al.
Publicado: (2012)

Categorizing Medications from Unstructured Clinical Notes
por: Farooq, Faisal, et al.
Publicado: (2013)

Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study
por: Ge, Wendong, et al.
Publicado: (2022)

Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness
por: Zhao, Yiqing, et al.
Publicado: (2021)

Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters
por: Cutforth, Murray, et al.
Publicado: (2023)

Systematic tissue annotations of genomics samples by modeling unstructured metadata
por: Hawkins, Nathaniel T., et al.
Publicado: (2022)

FasTag: Automatic text classification of unstructured medical narratives
por: Venkataraman, Guhan Ram, et al.
Publicado: (2020)

Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression
por: Geraci, Joseph, et al.
Publicado: (2017)

A configurable software platform for creating, reviewing and adjudicating annotation of unstructured text.
por: Beare, Richard, et al.
Publicado: (2022)

Network analysis of unstructured EHR data for clinical research
por: Bauer-Mehren, Anna, et al.
Publicado: ( 201)

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes
por: Tang, Chunlei, et al.
Publicado: (2019)

The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records
por: Assale, Michela, et al.
Publicado: (2019)

Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation
por: Abbas, Asim, et al.
Publicado: (2021)

Usability Evaluation of an Unstructured Clinical Document Query Tool for Researchers
por: Hultman, Gretchen, et al.
Publicado: (2018)

How essential are unstructured clinical narratives and information fusion to clinical trial recruitment?
por: Raghavan, Preethi, et al.
Publicado: (2014)

Tapping into unstructured data: integrating unstructured data and textual analytics into business intelligence
por: Inmon, William H, et al.
Publicado: (2008)

Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing
por: Galbusera, Fabio, et al.
Publicado: (2021)

Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes
por: Krishnan, Gokul S., et al.
Publicado: (2020)

Efficient goal attainment and engagement in a care manager system using unstructured notes
por: Rosenthal, Sara, et al.
Publicado: (2020)

SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes
por: Tchechmedjiev, Andon, et al.
Publicado: (2018)

PIN64 Identifying COVID-19 Patients from Unstructured Notes: Performance of a Commercial Clinical Named Entity Recognition System
por: Kumar, V., et al.
Publicado: (2021)

Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients
por: Mahbub, Maria, et al.
Publicado: (2022)

The automatic annotation of bacterial genomes
por: Richardson, Emily J., et al.
Publicado: (2013)

Use of unstructured text in prognostic clinical prediction models: a systematic review
por: Seinen, Tom M, et al.
Publicado: (2022)

Particle Tracking on Unstructured Grids
por: Nelson, E M, et al.
Publicado: (2001)

Adaptive and Unstructured Mesh Cleaving
por: Bronson, Jonathan R., et al.
Publicado: (2014)

Regarding the Utility of Unstructured Data and Natural Language Processing for Identification of Breast Cancer Recurrence
por: Ritzwoller, Debra P., et al.
Publicado: (2021)

Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models
por: Faris, Hossam, et al.
Publicado: (2022)

Combining structured and unstructured data in EMRs to create clinically-defined EMR-derived cohorts
por: Tam, Charmaine S., et al.
Publicado: (2021)

Automatic Annotation of Narrative Radiology Reports
por: Krsnik, Ivan, et al.
Publicado: (2020)

Automatic Annotation of Change Detection Images
por: Neptune, Nathalie, et al.
Publicado: (2021)

Partitioning of unstructured meshes for load balancing
por: Martin, O C, et al.
Publicado: (1994)

Finding RNA structure in the unstructured RBPome
por: Orenstein, Yaron, et al.
Publicado: (2018)

RNA‐protein interactions in an unstructured context
por: Zagrovic, Bojan, et al.
Publicado: (2018)

Autonomous Reading of Gauges in Unstructured Environments
por: Milana, Edoardo, et al.
Publicado: (2022)

An unstructured proteasome inhibitor comes into focus
por: Nemec, Antonia A., et al.
Publicado: (2023)

Semi-automatic conversion of BioProp semantic annotation to PASBio annotation
por: Tsai, Richard Tzong-Han, et al.
Publicado: (2008)

Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes
por: Pantazatos, Spiro P., et al.
Publicado: (2009)

Integration of Neuroimaging and Microarray Datasets through Mapping and Model-Theoretic Semantic Decomposition of Unstructured Phenotypes
por: Pantazatos, Spiro P., et al.
Publicado: (2009)

Multiscale classification of heart failure phenotypes by unsupervised clustering of unstructured electronic medical record data
por: Nagamine, Tasha, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_kgi9baq92j6u0ei7j45p8v8me1