490 related articles for article (PubMed ID: 29280092)
1. Classifying clinical notes with pain assessment using machine learning.
Fodeh SJ; Finch D; Bouayad L; Luther SL; Ling H; Kerns RD; Brandt C
Med Biol Eng Comput; 2018 Jul; 56(7):1285-1292. PubMed ID: 29280092
[TBL] [Abstract][Full Text] [Related]
2. Classifying Clinical Notes with Pain Assessment.
Fodeh SJ; Finch D; Bouayad L; Luther S; Kerns RD; Brandt C
Stud Health Technol Inform; 2017; 245():1261. PubMed ID: 29295346
[TBL] [Abstract][Full Text] [Related]
3. Detecting goals of care conversations in clinical notes with active learning.
Weissenbacher D; Courtright K; Rawal S; Crane-Droesch A; O'Connor K; Kuhl N; Merlino C; Foxwell A; Haines L; Puhl J; Gonzalez-Hernandez G
J Biomed Inform; 2024 Mar; 151():104618. PubMed ID: 38431151
[TBL] [Abstract][Full Text] [Related]
4. Discovering and identifying New York heart association classification from electronic health records.
Zhang R; Ma S; Shanahan L; Munroe J; Horn S; Speedie S
BMC Med Inform Decis Mak; 2018 Jul; 18(Suppl 2):48. PubMed ID: 30066653
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation.
Cusick M; Adekkanattu P; Campion TR; Sholle ET; Myers A; Banerjee S; Alexopoulos G; Wang Y; Pathak J
J Psychiatr Res; 2021 Apr; 136():95-102. PubMed ID: 33581461
[TBL] [Abstract][Full Text] [Related]
7. Automated feature selection of predictors in electronic medical records data.
Gronsbell J; Minnier J; Yu S; Liao K; Cai T
Biometrics; 2019 Mar; 75(1):268-277. PubMed ID: 30353541
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning Methods to Extract Documentation of Breast Cancer Symptoms From Electronic Health Records.
Forsyth AW; Barzilay R; Hughes KS; Lui D; Lorenz KA; Enzinger A; Tulsky JA; Lindvall C
J Pain Symptom Manage; 2018 Jun; 55(6):1492-1499. PubMed ID: 29496537
[TBL] [Abstract][Full Text] [Related]
9. A comparison of rule-based and machine learning approaches for classifying patient portal messages.
Cronin RM; Fabbri D; Denny JC; Rosenbloom ST; Jackson GP
Int J Med Inform; 2017 Sep; 105():110-120. PubMed ID: 28750904
[TBL] [Abstract][Full Text] [Related]
10. Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data.
Feller DJ; Bear Don't Walk Iv OJ; Zucker J; Yin MT; Gordon P; Elhadad N
Appl Clin Inform; 2020 Jan; 11(1):172-181. PubMed ID: 32131117
[TBL] [Abstract][Full Text] [Related]
11. Classifying injury narratives of large administrative databases for surveillance-A practical approach combining machine learning ensembles and human review.
Marucci-Wellman HR; Corns HL; Lehto MR
Accid Anal Prev; 2017 Jan; 98():359-371. PubMed ID: 27863339
[TBL] [Abstract][Full Text] [Related]
12. Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis.
Carlson LA; Jeffery MM; Fu S; He H; McCoy RG; Wang Y; Hooten WM; St Sauver J; Liu H; Fan J
JMIR Med Inform; 2020 Nov; 8(11):e18659. PubMed ID: 33108311
[TBL] [Abstract][Full Text] [Related]
13. Pain Assessment Tool With Electrodermal Activity for Postoperative Patients: Method Validation Study.
Aqajari SAH; Cao R; Kasaeyan Naeini E; Calderon MD; Zheng K; Dutt N; Liljeberg P; Salanterä S; Nelson AM; Rahmani AM
JMIR Mhealth Uhealth; 2021 May; 9(5):e25258. PubMed ID: 33949957
[TBL] [Abstract][Full Text] [Related]
14. MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health.
Ahsan H; Ohnuki E; Mitra A; Yu H
Proc Mach Learn Res; 2021 Aug; 149():391-413. PubMed ID: 35005628
[TBL] [Abstract][Full Text] [Related]
15. Automated Identification of Patients With Immune-Related Adverse Events From Clinical Notes Using Word Embedding and Machine Learning.
Gupta S; Belouali A; Shah NJ; Atkins MB; Madhavan S
JCO Clin Cancer Inform; 2021 May; 5():541-549. PubMed ID: 33989017
[TBL] [Abstract][Full Text] [Related]
16. Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study.
Ge W; Alabsi H; Jain A; Ye E; Sun H; Fernandes M; Magdamo C; Tesh RA; Collens SI; Newhouse A; Mvr Moura L; Zafar S; Hsu J; Akeju O; Robbins GK; Mukerji SS; Das S; Westover MB
JMIR Form Res; 2022 Jun; 6(6):e33834. PubMed ID: 35749214
[TBL] [Abstract][Full Text] [Related]
17. Using natural language processing methods to classify use status of dietary supplements in clinical notes.
Fan Y; Zhang R
BMC Med Inform Decis Mak; 2018 Jul; 18(Suppl 2):51. PubMed ID: 30066648
[TBL] [Abstract][Full Text] [Related]
18. Pain process of patients with cardiac surgery-Semantic annotation of electronic patient record data.
Heikkilä K; Axelin A; Peltonen LM; Heimonen J; Anttila P; Viljanen T; Salakoski T; Salanterä S
J Clin Nurs; 2019 May; 28(9-10):1555-1567. PubMed ID: 30589139
[TBL] [Abstract][Full Text] [Related]
19. Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
Hassanpour S; Langlotz CP; Amrhein TJ; Befera NT; Lungren MP
AJR Am J Roentgenol; 2017 Apr; 208(4):750-753. PubMed ID: 28140627
[TBL] [Abstract][Full Text] [Related]
20. An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes.
Huang J; Osorio C; Sy LW
Comput Methods Programs Biomed; 2019 Aug; 177():141-153. PubMed ID: 31319942
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]