176 related articles for article (PubMed ID: 36249261)
21. Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation.
Chen PF; Chen L; Lin YK; Li GH; Lai F; Lu CW; Yang CY; Chen KC; Lin TY
JMIR Med Inform; 2022 May; 10(5):e38241. PubMed ID: 35536634
[TBL] [Abstract][Full Text] [Related]
22. Prediction of stroke-associated pneumonia by the A2DS2, AIS-APS, and ISAN scores: a systematic review and meta-analysis.
Ni J; Shou W; Wu X; Sun J
Expert Rev Respir Med; 2021 Nov; 15(11):1461-1472. PubMed ID: 33945394
[No Abstract] [Full Text] [Related]
23. Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing.
Lineback CM; Garg R; Oh E; Naidech AM; Holl JL; Prabhakaran S
Front Neurol; 2021; 12():649521. PubMed ID: 34326805
[No Abstract] [Full Text] [Related]
24. 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]
25. Risk of stroke-associated pneumonia during hospitalization: predictive ability of combined A
Li Y; Zhang Y; Ma L; Niu X; Chang J
BMC Neurol; 2019 Nov; 19(1):298. PubMed ID: 31766993
[TBL] [Abstract][Full Text] [Related]
26. A novel machine learning model for predicting stroke associated pneumonia after spontaneous intracerebral hemorrhage.
Guo R; Yan S; Li Y; Liu K; Wu F; Feng T; Chen R; Liu Y; You C; Tian R
World Neurosurg; 2024 Jun; ():. PubMed ID: 38843972
[TBL] [Abstract][Full Text] [Related]
27. Machine learning using multimodal and autonomic nervous system parameters predicts clinically apparent stroke-associated pneumonia in a development and testing study.
Nelde A; Krumm L; Arafat S; Hotter B; Nolte CH; Scheitz JF; Klammer MG; Krämer M; Scheib F; Endres M; Meisel A; Meisel C
J Neurol; 2024 Feb; 271(2):899-908. PubMed ID: 37851190
[TBL] [Abstract][Full Text] [Related]
28. Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
Hu D; Li S; Zhang H; Wu N; Lu X
JMIR Med Inform; 2022 Apr; 10(4):e35475. PubMed ID: 35468085
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. A nomogram based on nutritional status and A
Song X; He Y; Bai J; Zhang J
Front Nutr; 2022; 9():1009041. PubMed ID: 36313103
[TBL] [Abstract][Full Text] [Related]
31. Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
Rahimian F; Salimi-Khorshidi G; Payberah AH; Tran J; Ayala Solares R; Raimondi F; Nazarzadeh M; Canoy D; Rahimi K
PLoS Med; 2018 Nov; 15(11):e1002695. PubMed ID: 30458006
[TBL] [Abstract][Full Text] [Related]
32. Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.
Ribelles N; Jerez JM; Rodriguez-Brazzarola P; Jimenez B; Diaz-Redondo T; Mesa H; Marquez A; Sanchez-Muñoz A; Pajares B; Carabantes F; Bermejo MJ; Villar E; Dominguez-Recio ME; Saez E; Galvez L; Godoy A; Franco L; Ruiz-Medina S; Lopez I; Alba E
Eur J Cancer; 2021 Feb; 144():224-231. PubMed ID: 33373867
[TBL] [Abstract][Full Text] [Related]
33. Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records.
Carson NJ; Mullin B; Sanchez MJ; Lu F; Yang K; Menezes M; Cook BL
PLoS One; 2019; 14(2):e0211116. PubMed ID: 30779800
[TBL] [Abstract][Full Text] [Related]
34. Automated risk assessment of newly detected atrial fibrillation poststroke from electronic health record data using machine learning and natural language processing.
Sung SF; Sung KL; Pan RC; Lee PJ; Hu YH
Front Cardiovasc Med; 2022; 9():941237. PubMed ID: 35966534
[TBL] [Abstract][Full Text] [Related]
35. Natural language processing with machine learning to predict outcomes after ovarian cancer surgery.
Barber EL; Garg R; Persenaire C; Simon M
Gynecol Oncol; 2021 Jan; 160(1):182-186. PubMed ID: 33069375
[TBL] [Abstract][Full Text] [Related]
36. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI.
Heo TS; Kim YS; Choi JM; Jeong YS; Seo SY; Lee JH; Jeon JP; Kim C
J Pers Med; 2020 Dec; 10(4):. PubMed ID: 33339385
[TBL] [Abstract][Full Text] [Related]
37. Predicting Discharge Disposition Following Meningioma Resection Using a Multi-Institutional Natural Language Processing Model.
Muhlestein WE; Monsour MA; Friedman GN; Zinzuwadia A; Zachariah MA; Coumans JV; Carter BS; Chambless LB
Neurosurgery; 2021 Mar; 88(4):838-845. PubMed ID: 33483747
[TBL] [Abstract][Full Text] [Related]
38. Can a novel clinical risk score improve pneumonia prediction in acute stroke care? A UK multicenter cohort study.
Smith CJ; Bray BD; Hoffman A; Meisel A; Heuschmann PU; Wolfe CD; Tyrrell PJ; Rudd AG;
J Am Heart Assoc; 2015 Jan; 4(1):e001307. PubMed ID: 25587017
[TBL] [Abstract][Full Text] [Related]
39. Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing.
Wang SY; Tseng B; Hernandez-Boussard T
Ophthalmol Sci; 2022 Jun; 2(2):100127. PubMed ID: 36249690
[TBL] [Abstract][Full Text] [Related]
40. Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.
Afshar M; Phillips A; Karnik N; Mueller J; To D; Gonzalez R; Price R; Cooper R; Joyce C; Dligach D
J Am Med Inform Assoc; 2019 Mar; 26(3):254-261. PubMed ID: 30602031
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
