Detalhe da pesquisa
1.
Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes.
Matern Child Health J
; 28(3): 578-586, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38147277
2.
The identification of clusters of risk factors and their association with hospitalizations or emergency department visits in home health care.
J Adv Nurs
; 79(2): 593-604, 2023 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-36414419
3.
Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study.
J Med Internet Res
; 24(6): e36151, 2022 06 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35767327
4.
Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study.
J Med Internet Res
; 22(12): e22493, 2020 12 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-33270032
5.
Annotation and extraction of age and temporally-related events from clinical histories.
BMC Med Inform Decis Mak
; 20(Suppl 11): 338, 2020 12 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-33380319
6.
Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.
J Am Med Dir Assoc
; 25(1): 69-83, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-37838000
7.
Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing.
Stud Health Technol Inform
; 310: 619-623, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38269883
8.
Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study.
JMIR Nurs
; 6: e42552, 2023 Apr 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-37067893
9.
Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care.
J Am Med Inform Assoc
; 30(11): 1801-1810, 2023 10 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37339524
10.
Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model.
J Am Med Inform Assoc
; 30(10): 1622-1633, 2023 09 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-37433577
11.
Social Risk Factors are Associated with Risk for Hospitalization in Home Health Care: A Natural Language Processing Study.
J Am Med Dir Assoc
; 24(12): 1874-1880.e4, 2023 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37553081
12.
A risk identification model for detection of patients at risk of antidepressant discontinuation.
Front Artif Intell
; 6: 1229609, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37693012
13.
Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing.
Front Public Health
; 10: 850619, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35615042
14.
Using Natural Language Processing to Classify Serious Illness Communication with Oncology Patients.
AMIA Jt Summits Transl Sci Proc
; 2022: 168-177, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35854756
15.
Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing.
AMIA Annu Symp Proc
; 2022: 606-615, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-37128417
16.
Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation.
JMIR Med Inform
; 9(2): e21679, 2021 Feb 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-33544689
17.
A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types.
AMIA Annu Symp Proc
; 2020: 1268-1276, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33936503
18.
Towards Automatic Bot Detection in Twitter for Health-related Tasks.
AMIA Jt Summits Transl Sci Proc
; 2020: 136-141, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32477632
19.
Pregnancy and health in the age of the Internet: A content analysis of online "birth club" forums.
PLoS One
; 15(4): e0230947, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32287266