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Using Electronic Health Records to Identify Incarceration History among Veterans
Başlık:
Using Electronic Health Records to Identify Incarceration History among Veterans
Yazar:
Kim, Clara Heown, author.
ISBN:
9780438132030
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (38 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisors: Emily A. Wang Committee members: Nancy R. Angoff; Emile Boulpaep; Michael DiGiovanna; Thomas Duffy; Erica L. Herzog; Amy Justice; Barbara Kazmierczak; Marcella Nunez Smith; Joanna Radin; Peter Takizawa.
Özet:
Hypothesis: A machine learning (ML) algorithm using natural language processing will predict whether individuals had been recently incarcerated with greater accuracy than either a human reader or a keyword search.
Methods: 450 subjects were randomly selected within the Veterans Aging Cohort Study (VACS), a prospective study based at eight Veterans Affairs hospitals. Three methods of detecting incarceration within the past year were compared against self-report: manual chart-review, a search for ten topically relevant keywords, and a support vector machine (SVM) classifier that was trained and tested 20 times on randomly selected sets.
Results: The F1 score was 0.400, 0.580, and 0.751, respectively, for manual chart-review, keyword search, and SVM classifier. Specificity was 100%, 67.5%, and 95.9%, respectively. Recall was 25.0%, 69.1%, and 63.5%, respectively.
Conclusions: Recent incarceration can be detected by a SVM classifier with greater specificity than a keyword search. Both methods are much more sensitive than a human reader. ML algorithms may thus aid in screening for incarceration history.
Notlar:
School code: 0265
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(688580.1) | 688580-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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