125 related articles for article (PubMed ID: 27496862)
1. Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting.
Ehrentraut C; Ekholm M; Tanushi H; Tiedemann J; Dalianis H
Health Informatics J; 2018 Mar; 24(1):24-42. PubMed ID: 27496862
[TBL] [Abstract][Full Text] [Related]
2. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
[TBL] [Abstract][Full Text] [Related]
3. Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach.
Azzolina D; Bressan S; Lorenzoni G; Baldan GA; Bartolotta P; Scognamiglio F; Francavilla A; Lanera C; Da Dalt L; Gregori D
JMIR Public Health Surveill; 2023 Jul; 9():e44467. PubMed ID: 37436799
[TBL] [Abstract][Full Text] [Related]
4. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
[TBL] [Abstract][Full Text] [Related]
5. Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.
Park JI; Bliss DZ; Chi CL; Delaney CW; Westra BL
Comput Inform Nurs; 2020 Jan; 38(1):28-35. PubMed ID: 31524687
[TBL] [Abstract][Full Text] [Related]
6. Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study.
Maarseveen TD; Meinderink T; Reinders MJT; Knitza J; Huizinga TWJ; Kleyer A; Simon D; van den Akker EB; Knevel R
JMIR Med Inform; 2020 Nov; 8(11):e23930. PubMed ID: 33252349
[TBL] [Abstract][Full Text] [Related]
7. A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
Dinh A; Miertschin S; Young A; Mohanty SD
BMC Med Inform Decis Mak; 2019 Nov; 19(1):211. PubMed ID: 31694707
[TBL] [Abstract][Full Text] [Related]
8. The class imbalance problem detecting adverse drug reactions in electronic health records.
Santiso S; Casillas A; PĂ©rez A
Health Informatics J; 2019 Dec; 25(4):1768-1778. PubMed ID: 30230408
[TBL] [Abstract][Full Text] [Related]
9. Text mining approach to predict hospital admissions using early medical records from the emergency department.
Lucini FR; Fogliatto FS; da Silveira GJC; Neyeloff JL; Anzanello MJ; Kuchenbecker RS; Schaan BD
Int J Med Inform; 2017 Apr; 100():1-8. PubMed ID: 28241931
[TBL] [Abstract][Full Text] [Related]
10. AUD-DSS: a decision support system for early detection of patients with alcohol use disorder.
Ebrahimi A; Wiil UK; Baskaran R; Peimankar A; Andersen K; Nielsen AS
BMC Bioinformatics; 2023 Sep; 24(1):329. PubMed ID: 37658294
[TBL] [Abstract][Full Text] [Related]
11. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation.
Lu YT; Chao HJ; Chiang YC; Chen HY
J Med Internet Res; 2023 Feb; 25():e43734. PubMed ID: 36749620
[TBL] [Abstract][Full Text] [Related]
12. Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than
Guo Y; Al-Garadi MA; Book WM; Ivey LC; Rodriguez FH; Raskind-Hood CL; Robichaux C; Sarker A
J Am Heart Assoc; 2023 Jul; 12(13):e030046. PubMed ID: 37345821
[TBL] [Abstract][Full Text] [Related]
13. Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.
Senan EM; Abunadi I; Jadhav ME; Fati SM
Comput Math Methods Med; 2021; 2021():8500314. PubMed ID: 34966445
[TBL] [Abstract][Full Text] [Related]
14. Transferability of artificial neural networks for clinical document classification across hospitals: A case study on abnormality detection from radiology reports.
Hassanzadeh H; Nguyen A; Karimi S; Chu K
J Biomed Inform; 2018 Sep; 85():68-79. PubMed ID: 30026067
[TBL] [Abstract][Full Text] [Related]
15. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
[TBL] [Abstract][Full Text] [Related]
16. Efficient Prediction of Missed Clinical Appointment Using Machine Learning.
Qureshi Z; Maqbool A; Mirza A; Iqbal MZ; Afzal F; Kanubala DD; Rana T; Umair MY; Wakeel A; Shah SK
Comput Math Methods Med; 2021; 2021():2376391. PubMed ID: 34721656
[TBL] [Abstract][Full Text] [Related]
17. Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree.
Li K; Shi Q; Liu S; Xie Y; Liu J
Medicine (Baltimore); 2021 May; 100(19):e25813. PubMed ID: 34106618
[TBL] [Abstract][Full Text] [Related]
18. Developing Machine Learning Models for Behavioral Coding.
Idalski Carcone A; Hasan M; Alexander GL; Dong M; Eggly S; Brogan Hartlieb K; Naar S; MacDonell K; Kotov A
J Pediatr Psychol; 2019 Apr; 44(3):289-299. PubMed ID: 30698755
[TBL] [Abstract][Full Text] [Related]
19. Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
Kamkar I; Gupta SK; Phung D; Venkatesh S
J Biomed Inform; 2015 Feb; 53():277-90. PubMed ID: 25500636
[TBL] [Abstract][Full Text] [Related]
20. Construction accident narrative classification: An evaluation of text mining techniques.
Goh YM; Ubeynarayana CU
Accid Anal Prev; 2017 Nov; 108():122-130. PubMed ID: 28865927
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]