Cited by 9Machine Learning in HealthcarePalliative Care and End-of-Life IssuesNursing Diagnosis and Documentation

Identification of serious illness conversations in unstructured clinical notes using deep neural networks

Chien, Isabel, Shi, Alvin, Chan, Alex, Lindvall, Charlotta·2019·Lecture Notes in Computer Science

Integrity signals

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Crossref · 10.1007/978-3-030-12738-1_15

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  • Other operational definitions of the goals-of-care construct are more amenable to measurement using rule-based and other methods.

    “Even within the community of investigators interested in measuring goals-of-care content, other operational definitions of the same construct are more amenable to measurement using rule-based and other methods.15,16,20”

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Authors
Chien, I., Shi, A., Chan, A., & Lindvall, C.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Harvard University (US)
  • Brigham and Women's Hospital (US)
Corresponding author
Lindvall, Charlotta
Venue
Lecture Notes in Computer Science
Published
2019
Pages
199-212
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2889019692
Cited by
9
References
0
Citations by year
2026: 2 · 2025: 2 · 2024: 1 · 2022: 2 · 2021: 1 · 2019: 1
FWCI
0.38
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
  • Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
Keywords
advance care planning, serious illness conversations, electronic health records, natural language processing, deep neural network, goals of care, end-of-life care

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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