274 related articles for article (PubMed ID: 37014000)
1. Predicting future falls in older people using natural language processing of general practitioners' clinical notes.
Dormosh N; Schut MC; Heymans MW; Maarsingh O; Bouman J; van der Velde N; Abu-Hanna A
Age Ageing; 2023 Apr; 52(4):. PubMed ID: 37014000
[TBL] [Abstract][Full Text] [Related]
2. External Validation of a Prediction Model for Falls in Older People Based on Electronic Health Records in Primary Care.
Dormosh N; Heymans MW; van der Velde N; Hugtenburg J; Maarsingh O; Slottje P; Abu-Hanna A; Schut MC
J Am Med Dir Assoc; 2022 Oct; 23(10):1691-1697.e3. PubMed ID: 35963283
[TBL] [Abstract][Full Text] [Related]
3. Development and Internal Validation of a Risk Prediction Model for Falls Among Older People Using Primary Care Electronic Health Records.
Dormosh N; Schut MC; Heymans MW; van der Velde N; Abu-Hanna A
J Gerontol A Biol Sci Med Sci; 2022 Jul; 77(7):1438-1445. PubMed ID: 34637510
[TBL] [Abstract][Full Text] [Related]
4. Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notes.
Dormosh N; Abu-Hanna A; Calixto I; Schut MC; Heymans MW; van der Velde N
Age Ageing; 2024 Feb; 53(2):. PubMed ID: 38364820
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Leveraging Natural Language Processing to Improve Electronic Health Record Suicide Risk Prediction for Veterans Health Administration Users.
Levis M; Levy J; Dent KR; Dufort V; Gobbel GT; Watts BV; Shiner B
J Clin Psychiatry; 2023 Jun; 84(4):. PubMed ID: 37341477
[No Abstract] [Full Text] [Related]
8. Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods.
Lee DY; Kim C; Lee S; Son SJ; Cho SM; Cho YH; Lim J; Park RW
Front Psychiatry; 2022; 13():844442. PubMed ID: 35479497
[TBL] [Abstract][Full Text] [Related]
9. Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.
Han S; Zhang RF; Shi L; Richie R; Liu H; Tseng A; Quan W; Ryan N; Brent D; Tsui FR
J Biomed Inform; 2022 Mar; 127():103984. PubMed ID: 35007754
[TBL] [Abstract][Full Text] [Related]
10. The Value of Unstructured Electronic Health Record Data in Geriatric Syndrome Case Identification.
Kharrazi H; Anzaldi LJ; Hernandez L; Davison A; Boyd CM; Leff B; Kimura J; Weiner JP
J Am Geriatr Soc; 2018 Aug; 66(8):1499-1507. PubMed ID: 29972595
[TBL] [Abstract][Full Text] [Related]
11. Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.
Feller DJ; Zucker J; Yin MT; Gordon P; Elhadad N
J Acquir Immune Defic Syndr; 2018 Feb; 77(2):160-166. PubMed ID: 29084046
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes.
Lin C; Hsu CJ; Lou YS; Yeh SJ; Lee CC; Su SL; Chen HC
J Med Internet Res; 2017 Nov; 19(11):e380. PubMed ID: 29109070
[TBL] [Abstract][Full Text] [Related]
14. Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting.
Dormosh N; Damoiseaux-Volman BA; van der Velde N; Medlock S; Romijn JA; Abu-Hanna A
J Am Med Dir Assoc; 2023 Jul; 24(7):964-970.e5. PubMed ID: 37060922
[TBL] [Abstract][Full Text] [Related]
15. Malnutrition and its contributing factors for older people living in residential aged care facilities: Insights from natural language processing of aged care records.
Alkhalaf M; Zhang Z; Chang HR; Wei W; Yin M; Deng C; Yu P
Technol Health Care; 2023; 31(6):2267-2278. PubMed ID: 37302059
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. The added value of text from Dutch general practitioner notes in predictive modeling.
Seinen TM; Kors JA; van Mulligen EM; Fridgeirsson E; Rijnbeek PR
J Am Med Inform Assoc; 2023 Nov; 30(12):1973-1984. PubMed ID: 37587084
[TBL] [Abstract][Full Text] [Related]
18. Natural language processing for prediction of readmission in posterior lumbar fusion patients: which free-text notes have the most utility?
Karhade AV; Lavoie-Gagne O; Agaronnik N; Ghaednia H; Collins AK; Shin D; Schwab JH
Spine J; 2022 Feb; 22(2):272-277. PubMed ID: 34407468
[TBL] [Abstract][Full Text] [Related]
19. Natural language processing to identify social determinants of health in Alzheimer's disease and related dementia from electronic health records.
Wu W; Holkeboer KJ; Kolawole TO; Carbone L; Mahmoudi E
Health Serv Res; 2023 Dec; 58(6):1292-1302. PubMed ID: 37534741
[TBL] [Abstract][Full Text] [Related]
20. Automated detection of substance use information from electronic health records for a pediatric population.
Ni Y; Bachtel A; Nause K; Beal S
J Am Med Inform Assoc; 2021 Sep; 28(10):2116-2127. PubMed ID: 34333636
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]