146 related articles for article (PubMed ID: 35254218)
1. Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methods.
Carrell DS; Cronkite DJ; Shea M; Oliver M; Luce C; Matson TE; Bobb JF; Hsu C; Binswanger IA; Browne KC; Saxon AJ; McCormack J; Jelstrom E; Ghitza UE; Campbell CI; Bradley KA; Lapham GT
Subst Abus; 2022; 43(1):917-924. PubMed ID: 35254218
[No Abstract] [Full Text] [Related]
2. Prevalence of Medical Cannabis Use and Associated Health Conditions Documented in Electronic Health Records Among Primary Care Patients in Washington State.
Matson TE; Carrell DS; Bobb JF; Cronkite DJ; Oliver MM; Luce C; Ghitza UE; Hsu CW; Campbell CI; Browne KC; Binswanger IA; Saxon AJ; Bradley KA; Lapham GT
JAMA Netw Open; 2021 May; 4(5):e219375. PubMed ID: 33956129
[TBL] [Abstract][Full Text] [Related]
3. Comparison of Medical Cannabis Use Reported on a Confidential Survey vs Documented in the Electronic Health Record Among Primary Care Patients.
Lapham GT; Matson TE; Carrell DS; Bobb JF; Luce C; Oliver MM; Ghitza UE; Hsu C; Browne KC; Binswanger IA; Campbell CI; Saxon AJ; Vandrey R; Schauer GL; Pacula RL; Horberg MA; Bailey SR; McClure EA; Bradley KA
JAMA Netw Open; 2022 May; 5(5):e2211677. PubMed ID: 35604691
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes.
Sajdeya R; Mardini MT; Tighe PJ; Ison RL; Bai C; Jugl S; Hanzhi G; Zandbiglari K; Adiba FI; Winterstein AG; Pearson TA; Cook RL; Rouhizadeh M
J Am Med Inform Assoc; 2023 Jul; 30(8):1418-1428. PubMed ID: 37178155
[TBL] [Abstract][Full Text] [Related]
7. Natural Language Processing-Enabled and Conventional Data Capture Methods for Input to Electronic Health Records: A Comparative Usability Study.
Kaufman DR; Sheehan B; Stetson P; Bhatt AR; Field AI; Patel C; Maisel JM
JMIR Med Inform; 2016 Oct; 4(4):e35. PubMed ID: 27793791
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.
Chen Z; Zhang H; Yang X; Wu S; He X; Xu J; Guo J; Prosperi M; Wang F; Xu H; Chen Y; Hu H; DeKosky ST; Farrer M; Guo Y; Wu Y; Bian J
Int J Med Inform; 2023 Feb; 170():104973. PubMed ID: 36577203
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Using natural language processing to identify problem usage of prescription opioids.
Carrell DS; Cronkite D; Palmer RE; Saunders K; Gross DE; Masters ET; Hylan TR; Von Korff M
Int J Med Inform; 2015 Dec; 84(12):1057-64. PubMed ID: 26456569
[TBL] [Abstract][Full Text] [Related]
12. Natural language processing for automated surveillance of intraoperative neuromonitoring in spine surgery.
Agaronnik ND; Kwok A; Schoenfeld AJ; Lindvall C
J Clin Neurosci; 2022 Mar; 97():121-126. PubMed ID: 35093791
[TBL] [Abstract][Full Text] [Related]
13. Do you vape? Leveraging electronic health records to assess clinician documentation of electronic nicotine delivery system use among adolescents and adults.
Young-Wolff KC; Klebaner D; Folck B; Carter-Harris L; Salloum RG; Prochaska JJ; Fogelberg R; Tan ASL
Prev Med; 2017 Dec; 105():32-36. PubMed ID: 28823688
[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. Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study.
Bozkurt S; Kan KM; Ferrari MK; Rubin DL; Blayney DW; Hernandez-Boussard T; Brooks JD
BMJ Open; 2019 Jul; 9(7):e027182. PubMed ID: 31324681
[TBL] [Abstract][Full Text] [Related]
16. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
Koleck TA; Dreisbach C; Bourne PE; Bakken S
J Am Med Inform Assoc; 2019 Apr; 26(4):364-379. PubMed ID: 30726935
[TBL] [Abstract][Full Text] [Related]
17. Natural Language Processing for Computer-Assisted Chart Review to Assess Documentation of Substance use and Psychopathology in Heart Failure Patients Awaiting Cardiac Resynchronization Therapy.
Yusufov M; Pirl WF; Braun I; Tulsky JA; Lindvall C
J Pain Symptom Manage; 2022 Oct; 64(4):400-409. PubMed ID: 35716959
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.
Chan L; Beers K; Yau AA; Chauhan K; Duffy Á; Chaudhary K; Debnath N; Saha A; Pattharanitima P; Cho J; Kotanko P; Federman A; Coca SG; Van Vleck T; Nadkarni GN
Kidney Int; 2020 Feb; 97(2):383-392. PubMed ID: 31883805
[TBL] [Abstract][Full Text] [Related]
20. Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study.
Ridgway JP; Uvin A; Schmitt J; Oliwa T; Almirol E; Devlin S; Schneider J
JMIR Med Inform; 2021 Mar; 9(3):e23456. PubMed ID: 33688848
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]