516 related articles for article (PubMed ID: 36862411)
1. Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.
Lee RY; Kross EK; Torrence J; Li KS; Sibley J; Cohen T; Lober WB; Engelberg RA; Curtis JR
JAMA Netw Open; 2023 Mar; 6(3):e231204. PubMed ID: 36862411
[TBL] [Abstract][Full Text] [Related]
2. Mixed-methods evaluation of three natural language processing modeling approaches for measuring documented goals-of-care discussions in the electronic health record.
Uyeda AM; Curtis JR; Engelberg RA; Brumback LC; Guo Y; Sibley J; Lober WB; Cohen T; Torrence J; Heywood J; Paul SR; Kross EK; Lee RY
J Pain Symptom Manage; 2022 Jun; 63(6):e713-e723. PubMed ID: 35182715
[TBL] [Abstract][Full Text] [Related]
3. Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning.
Lee RY; Brumback LC; Lober WB; Sibley J; Nielsen EL; Treece PD; Kross EK; Loggers ET; Fausto JA; Lindvall C; Engelberg RA; Curtis JR
J Pain Symptom Manage; 2021 Jan; 61(1):136-142.e2. PubMed ID: 32858164
[TBL] [Abstract][Full Text] [Related]
4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
5. Natural Language Processing to Identify Advance Care Planning Documentation in a Multisite Pragmatic Clinical Trial.
Lindvall C; Deng CY; Moseley E; Agaronnik N; El-Jawahri A; Paasche-Orlow MK; Lakin JR; Volandes A; Tulsky TAIJA
J Pain Symptom Manage; 2022 Jan; 63(1):e29-e36. PubMed ID: 34271146
[TBL] [Abstract][Full Text] [Related]
6. Efficacy of a Communication-Priming Intervention on Documented Goals-of-Care Discussions in Hospitalized Patients With Serious Illness: A Randomized Clinical Trial.
Lee RY; Kross EK; Downey L; Paul SR; Heywood J; Nielsen EL; Okimoto K; Brumback LC; Merel SE; Engelberg RA; Curtis JR
JAMA Netw Open; 2022 Apr; 5(4):e225088. PubMed ID: 35363271
[TBL] [Abstract][Full Text] [Related]
7. Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.
Clapp MA; Kim E; James KE; Perlis RH; Kaimal AJ; McCoy TH; Easter SR
JAMA Netw Open; 2022 Oct; 5(10):e2234924. PubMed ID: 36197662
[TBL] [Abstract][Full Text] [Related]
8. Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.
Marafino BJ; Park M; Davies JM; Thombley R; Luft HS; Sing DC; Kazi DS; DeJong C; Boscardin WJ; Dean ML; Dudley RA
JAMA Netw Open; 2018 Dec; 1(8):e185097. PubMed ID: 30646310
[TBL] [Abstract][Full Text] [Related]
9. Intervention to Promote Communication About Goals of Care for Hospitalized Patients With Serious Illness: A Randomized Clinical Trial.
Curtis JR; Lee RY; Brumback LC; Kross EK; Downey L; Torrence J; LeDuc N; Mallon Andrews K; Im J; Heywood J; Brown CE; Sibley J; Lober WB; Cohen T; Weiner BJ; Khandelwal N; Abedini NC; Engelberg RA
JAMA; 2023 Jun; 329(23):2028-2037. PubMed ID: 37210665
[TBL] [Abstract][Full Text] [Related]
10. Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative Surgery.
Lindvall C; Lilley EJ; Zupanc SN; Chien I; Udelsman BV; Walling A; Cooper Z; Tulsky JA
J Palliat Med; 2019 Feb; 22(2):183-187. PubMed ID: 30328764
[TBL] [Abstract][Full Text] [Related]
11. Automated outcome classification of emergency department computed tomography imaging reports.
Yadav K; Sarioglu E; Smith M; Choi HA
Acad Emerg Med; 2013 Aug; 20(8):848-54. PubMed ID: 24033628
[TBL] [Abstract][Full Text] [Related]
12. Use of Natural Language Processing of Patient-Initiated Electronic Health Record Messages to Identify Patients With COVID-19 Infection.
Mermin-Bunnell K; Zhu Y; Hornback A; Damhorst G; Walker T; Robichaux C; Mathew L; Jaquemet N; Peters K; Johnson TM; Wang MD; Anderson B
JAMA Netw Open; 2023 Jul; 6(7):e2322299. PubMed ID: 37418261
[TBL] [Abstract][Full Text] [Related]
13. Natural Language Processing in a Clinical Decision Support System for the Identification of Venous Thromboembolism: Algorithm Development and Validation.
Jin ZG; Zhang H; Tai MH; Yang Y; Yao Y; Guo YT
J Med Internet Res; 2023 Apr; 25():e43153. PubMed ID: 37093636
[TBL] [Abstract][Full Text] [Related]
14. Measuring Adoption of Patient Priorities-Aligned Care Using Natural Language Processing of Electronic Health Records: Development and Validation of the Model.
Razjouyan J; Freytag J; Dindo L; Kiefer L; Odom E; Halaszynski J; Silva JW; Naik AD
JMIR Med Inform; 2021 Feb; 9(2):e18756. PubMed ID: 33605893
[TBL] [Abstract][Full Text] [Related]
15. Using natural language processing to improve efficiency of manual chart abstraction in research: the case of breast cancer recurrence.
Carrell DS; Halgrim S; Tran DT; Buist DS; Chubak J; Chapman WW; Savova G
Am J Epidemiol; 2014 Mar; 179(6):749-58. PubMed ID: 24488511
[TBL] [Abstract][Full Text] [Related]
16. Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification.
Moon S; Carlson LA; Moser ED; Agnikula Kshatriya BS; Smith CY; Rocca WA; Gazzuola Rocca L; Bielinski SJ; Liu H; Larson NB
J Med Internet Res; 2022 Jan; 24(1):e29015. PubMed ID: 35089141
[TBL] [Abstract][Full Text] [Related]
17. Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.
Agaronnik ND; Lindvall C; El-Jawahri A; He W; Iezzoni LI
Arch Phys Med Rehabil; 2020 Oct; 101(10):1739-1746. PubMed ID: 32446905
[TBL] [Abstract][Full Text] [Related]
18. Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.
Van Vleck TT; Chan L; Coca SG; Craven CK; Do R; Ellis SB; Kannry JL; Loos RJF; Bonis PA; Cho J; Nadkarni GN
Int J Med Inform; 2019 Sep; 129():334-341. PubMed ID: 31445275
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of a Deep Learning Model for Earlier Detection of Cognitive Decline From Clinical Notes in Electronic Health Records.
Wang L; Laurentiev J; Yang J; Lo YC; Amariglio RE; Blacker D; Sperling RA; Marshall GA; Zhou L
JAMA Netw Open; 2021 Nov; 4(11):e2135174. PubMed ID: 34792589
[TBL] [Abstract][Full Text] [Related]
20. Development of a natural language processing algorithm to detect chronic cough in electronic health records.
Bali V; Weaver J; Turzhitsky V; Schelfhout J; Paudel ML; Hulbert E; Peterson-Brandt J; Currie AG; Bakka D
BMC Pulm Med; 2022 Jun; 22(1):256. PubMed ID: 35764999
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
