168 related articles for article (PubMed ID: 38817450)
1. Machine learning data sources in pediatric sleep research: assessing racial/ethnic differences in electronic health record-based clinical notes prior to model training.
Davenport MA; Sirrianni JW; Chisolm DJ
Front Sleep; 2024; 3():. PubMed ID: 38817450
[TBL] [Abstract][Full Text] [Related]
2. Natural language processing of admission notes to predict severe maternal morbidity during the delivery encounter.
Clapp MA; Kim E; James KE; Perlis RH; Kaimal AJ; McCoy TH
Am J Obstet Gynecol; 2022 Sep; 227(3):511.e1-511.e8. PubMed ID: 35430230
[TBL] [Abstract][Full Text] [Related]
3. Documentation of social determinants of health across individuals from different racial and ethnic groups in home healthcare.
Hobensack M; Scharp D; Song J; Topaz M
J Nurs Scholarsh; 2024 May; ():. PubMed ID: 38739091
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.
Gundlapalli AV; Jones AL; Redd A; Divita G; Brignone E; Pettey WBP; Carter ME; Samore MH; Blais RK; Fargo JD
Med Care; 2019 Jun; 57 Suppl 6 Suppl 2():S149-S156. PubMed ID: 31095054
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Beyond Polysomnography: Clinical Assessment of Pediatric Sleep Health and Sleep Problems.
Meltzer LJ; Paisley C
Sleep Med Clin; 2023 Jun; 18(2):147-160. PubMed ID: 37120158
[TBL] [Abstract][Full Text] [Related]
8. Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis.
Chang F; Krishnan J; Hurst JH; Yarrington ME; Anderson DJ; O'Brien EC; Goldstein BA
JMIR Med Inform; 2023 Aug; 11():e46267. PubMed ID: 37621195
[TBL] [Abstract][Full Text] [Related]
9. Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record.
Sun M; Oliwa T; Peek ME; Tung EL
Health Aff (Millwood); 2022 Feb; 41(2):203-211. PubMed ID: 35044842
[TBL] [Abstract][Full Text] [Related]
10. Toward representative genomic research: the children's rare disease cohorts experience.
Frazier ZJ; Brown E; Rockowitz S; Lee T; Zhang B; Sveden A; Chamberlin NL; Dies KA; Poduri A; Sliz P; Chopra M
Ther Adv Rare Dis; 2023; 4():26330040231181406. PubMed ID: 37621556
[TBL] [Abstract][Full Text] [Related]
11. Electronic Health Record-Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review.
Ose D; Adediran E; Owens R; Gardner E; Mervis M; Turner C; Carlson E; Forbes D; Jasumback CL; Stuligross J; Pohl S; Kiraly B
J Med Internet Res; 2023 Sep; 25():e42409. PubMed ID: 37713256
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing.
Fernandes M; Sun H; Jain A; Alabsi HS; Brenner LN; Ye E; Ge W; Collens SI; Leone MJ; Das S; Robbins GK; Mukerji SS; Westover MB
JMIR Med Inform; 2021 Feb; 9(2):e25457. PubMed ID: 33449908
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Changes in Racial and Ethnic Disparities in Use of Mental Health Services under the Affordable Care Act: Evidence from California.
Kim LH; Hodgkin D; Larson MJ; Doonan M
J Ment Health Policy Econ; 2023 Mar; 26(1):19-32. PubMed ID: 37029903
[TBL] [Abstract][Full Text] [Related]
16. The Impact of Health Care Algorithms on Racial and Ethnic Disparities : A Systematic Review.
Siddique SM; Tipton K; Leas B; Jepson C; Aysola J; Cohen JB; Flores E; Harhay MO; Schmidt H; Weissman GE; Fricke J; Treadwell JR; Mull NK
Ann Intern Med; 2024 Apr; 177(4):484-496. PubMed ID: 38467001
[TBL] [Abstract][Full Text] [Related]
17. Home Health Care Clinicians' Use of Judgment Language for Black and Hispanic Patients: Natural Language Processing Study.
Topaz M; Song J; Davoudi A; McDonald M; Taylor J; Sittig S; Bowles K
JMIR Nurs; 2023 Apr; 6():e42552. PubMed ID: 37067893
[TBL] [Abstract][Full Text] [Related]
18. A deep learning approach for transgender and gender diverse patient identification in electronic health records.
Hua Y; Wang L; Nguyen V; Rieu-Werden M; McDowell A; Bates DW; Foer D; Zhou L
J Biomed Inform; 2023 Nov; 147():104507. PubMed ID: 37778672
[TBL] [Abstract][Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]