Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data
Sign Up to like & getrecommendations! Published in 2018 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2018.5097
Abstract: Key Points Question Can a prediction model for mortality in the intensive care unit be improved by using more laboratory values, vital signs, and clinical text in electronic health records? Findings In this cohort study… read more here.
Keywords: natural language; electronic health; language processing; care ... See more keywords
Assessing the Prognostic Significance of Tumor-Infiltrating Lymphocytes in Patients With Melanoma Using Pathologic Features Identified by Natural Language Processing
Sign Up to like & getrecommendations! Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.26337
Abstract: Key Points Question Are tumor-infiltrating lymphocytes (TILs) an independent prognostic factor for overall survival among patients with primary cutaneous melanoma? Findings This cohort study identified clinical and histopathologic characteristics of 14 436 patients with cutaneous melanoma… read more here.
Keywords: infiltrating lymphocytes; natural language; tumor infiltrating; melanoma using ... See more keywords
Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.34924
Abstract: This diagnostic study compares the performance of natural language processing of clinician documentation with that of a validated risk-stratification tool in assessing the risk of severe maternal morbidity. read more here.
Keywords: risk stratification; risk; stratification tool; language processing ... See more keywords
Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists
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DOI: 10.1001/jamanetworkopen.2022.55113
Abstract: Key Points Question Can natural language processing (NLP) be used to generate chest radiograph (CXR) captions? Findings In this diagnostic study including 74 082 CXR cases labeled with NLP for 23 abnormal signs to train… read more here.
Keywords: chest radiograph; language processing; natural language;
Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome
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DOI: 10.1001/jamanetworkopen.2023.1204
Abstract: This diagnostic study evaluates the performance, feasibility, and power implications of using natural language processing to measure outcomes in a randomized clinical trial of a communication intervention among adults with serious illness. read more here.
Keywords: measure; clinical trial; language processing; natural language ... See more keywords
Natural Language Processing of Clinical Documentation to Assess Functional Status in Patients With Heart Failure
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DOI: 10.1001/jamanetworkopen.2024.43925
Abstract: Key Points Question Can a deep learning natural language processing (NLP) approach accurately extract New York Heart Association (NYHA) functional classification and activity- or rest-related heart failure (HF) symptoms from unstructured clinical notes, a class… read more here.
Keywords: functional status; heart; natural language; language ... See more keywords
Extraction of phenotypic traits from taxonomic descriptions for the tree of life using natural language processing
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DOI: 10.1002/aps3.1035
Abstract: Premise of the Study Phenotypic data sets are necessary to elucidate the genealogy of life, but assembling phenotypic data for taxa across the tree of life can be technically challenging and prohibitively time consuming. We… read more here.
Keywords: taxonomic descriptions; phenotypic; natural language; tree life ... See more keywords
Predictive language processing in young autistic children
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DOI: 10.1002/aur.2684
Abstract: Recent theories propose that domain‐general deficits in prediction (i.e., the ability to anticipate upcoming information) underlie the behavioral characteristics associated with autism spectrum disorder (ASD). If these theories are correct, autistic children might be expected… read more here.
Keywords: autistic children; young autistic; language; predictive language ... See more keywords
Identifying epilepsy surgery referral candidates with natural language processing in an Australian context
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DOI: 10.1002/epi4.12901
Abstract: Epilepsy surgery is known to be underutilized. Machine learning‐natural language processing (ML‐NLP) may be able to assist with identifying patients suitable for referral for epilepsy surgery evaluation. read more here.
Keywords: language; epilepsy surgery; natural language; language processing ... See more keywords
Derivation of a natural language processing algorithm to identify febrile infants.
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DOI: 10.1002/jhm.2732
Abstract: BACKGROUND Diagnostic codes can retrospectively identify samples of febrile infants, but sensitivity is low, resulting in many febrile infants eluding detection. To ensure study samples are representative, an improved approach is needed. OBJECTIVE To derive… read more here.
Keywords: processing algorithm; febrile infants; identify febrile; algorithm identify ... See more keywords
The use of natural language processing to identify vaccine‐related anaphylaxis at five health care systems in the Vaccine Safety Datalink
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DOI: 10.1002/pds.4919
Abstract: The objective was to develop a natural language processing (NLP) algorithm to identify vaccine‐related anaphylaxis from plain‐text clinical notes, and to implement the algorithm at five health care systems in the Vaccine Safety Datalink. read more here.
Keywords: identify vaccine; vaccine related; natural language; safety ... See more keywords