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1.
Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning.
Am J Epidemiol
; 192(2): 283-295, 2023 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36331289
2.
Loci identified by a genome-wide association study of carotid artery stenosis in the eMERGE network.
Genet Epidemiol
; 45(1): 4-15, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-32964493
3.
Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening.
BMC Med Inform Decis Mak
; 22(1): 129, 2022 05 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-35549702
4.
Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methods.
Subst Abus
; 43(1): 917-924, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35254218
5.
Finding uncoded anaphylaxis in electronic health records to estimate the sensitivity of ICD10 codes.
Am J Epidemiol
; 2024 May 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-38751242
6.
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease.
J Am Med Inform Assoc
; 31(3): 574-582, 2024 Feb 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-38109888
7.
Using natural language processing to identify child maltreatment in health systems.
Child Abuse Negl
; 138: 106090, 2023 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-36758373
8.
Improving physical activity among prostate cancer survivors through a peer-based digital walking program.
AMIA Annu Symp Proc
; 2023: 608-617, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38222338
9.
Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network.
Sci Rep
; 13(1): 1971, 2023 02 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36737471
10.
Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington State.
JAMA Netw Open
; 4(5): e219375, 2021 05 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-33956129
11.
Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readers.
J Am Med Inform Assoc
; 27(9): 1374-1382, 2020 07 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32930712
12.
Measuring problem prescription opioid use among patients receiving long-term opioid analgesic treatment: development and evaluation of an algorithm for use in EHR and claims data.
J Drug Assess
; 9(1): 97-105, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32489718
13.
The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.
J Am Med Inform Assoc
; 26(12): 1536-1544, 2019 12 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31390016
14.
Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification.
Methods Inf Med
; 55(4): 356-64, 2016 Aug 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-27405787
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