192 related articles for article (PubMed ID: 37694452)
21. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery.
Karhade AV; Bongers MER; Groot OQ; Cha TD; Doorly TP; Fogel HA; Hershman SH; Tobert DG; Srivastava SD; Bono CM; Kang JD; Harris MB; Schwab JH
Spine J; 2021 Oct; 21(10):1635-1642. PubMed ID: 32294557
[TBL] [Abstract][Full Text] [Related]
22. Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.
Ye J; Yao L; Shen J; Janarthanam R; Luo Y
BMC Med Inform Decis Mak; 2020 Dec; 20(Suppl 11):295. PubMed ID: 33380338
[TBL] [Abstract][Full Text] [Related]
23. Automated outcome classification of emergency department computed tomography imaging reports.
Yadav K; Sarioglu E; Smith M; Choi HA
Acad Emerg Med; 2013 Aug; 20(8):848-54. PubMed ID: 24033628
[TBL] [Abstract][Full Text] [Related]
24. Ensembles of natural language processing systems for portable phenotyping solutions.
Liu C; Ta CN; Rogers JR; Li Z; Lee J; Butler AM; Shang N; Kury FSP; Wang L; Shen F; Liu H; Ena L; Friedman C; Weng C
J Biomed Inform; 2019 Dec; 100():103318. PubMed ID: 31655273
[TBL] [Abstract][Full Text] [Related]
25. Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study.
Chen YP; Lo YH; Lai F; Huang CH
J Med Internet Res; 2021 Jan; 23(1):e25113. PubMed ID: 33502324
[TBL] [Abstract][Full Text] [Related]
26. A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.
Fatima R; Samad Shaikh N; Riaz A; Ahmad S; El-Affendi MA; Alyamani KAZ; Nabeel M; Ali Khan J; Yasin A; Latif RMA
Comput Intell Neurosci; 2022; 2022():6561622. PubMed ID: 36156967
[No Abstract] [Full Text] [Related]
27. 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]
28. Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports.
Groot OQ; Bongers MER; Karhade AV; Kapoor ND; Fenn BP; Kim J; Verlaan JJ; Schwab JH
Acta Oncol; 2020 Dec; 59(12):1455-1460. PubMed ID: 32924696
[TBL] [Abstract][Full Text] [Related]
29. Differentiation of lumbar disc herniation and lumbar spinal stenosis using natural language processing-based machine learning based on positive symptoms.
Ren G; Yu K; Xie Z; Liu L; Wang P; Zhang W; Wang Y; Wu X
Neurosurg Focus; 2022 Apr; 52(4):E7. PubMed ID: 35364584
[TBL] [Abstract][Full Text] [Related]
30. A deep learning-based interpretable decision tool for predicting high risk of chemotherapy-induced nausea and vomiting in cancer patients prescribed highly emetogenic chemotherapy.
Zhang J; Cui X; Yang C; Zhong D; Sun Y; Yue X; Lan G; Zhang L; Lu L; Yuan H
Cancer Med; 2023 Sep; 12(17):18306-18316. PubMed ID: 37609808
[TBL] [Abstract][Full Text] [Related]
31. Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?
Karhade AV; Oosterhoff JHF; Groot OQ; Agaronnik N; Ehresman J; Bongers MER; Jaarsma RL; Poonnoose SI; Sciubba DM; Tobert DG; Doornberg JN; Schwab JH
Clin Orthop Relat Res; 2022 Sep; 480(9):1766-1775. PubMed ID: 35412473
[TBL] [Abstract][Full Text] [Related]
32. Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.
Gobbel GT; Reeves R; Jayaramaraja S; Giuse D; Speroff T; Brown SH; Elkin PL; Matheny ME
J Biomed Inform; 2014 Apr; 48():54-65. PubMed ID: 24316051
[TBL] [Abstract][Full Text] [Related]
33. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
[TBL] [Abstract][Full Text] [Related]
34. Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.
Shen Z; Schutte D; Yi Y; Bompelli A; Yu F; Wang Y; Zhang R
BMC Med Inform Decis Mak; 2022 Jul; 22(Suppl 1):88. PubMed ID: 35799294
[TBL] [Abstract][Full Text] [Related]
35. Natural Language Processing in a Clinical Decision Support System for the Identification of Venous Thromboembolism: Algorithm Development and Validation.
Jin ZG; Zhang H; Tai MH; Yang Y; Yao Y; Guo YT
J Med Internet Res; 2023 Apr; 25():e43153. PubMed ID: 37093636
[TBL] [Abstract][Full Text] [Related]
36. Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage.
Lee S; Lee J; Park J; Park J; Kim D; Lee J; Oh J
Am J Emerg Med; 2024 Mar; 77():29-38. PubMed ID: 38096637
[TBL] [Abstract][Full Text] [Related]
37. Ensemble method-based extraction of medication and related information from clinical texts.
Kim Y; Meystre SM
J Am Med Inform Assoc; 2020 Jan; 27(1):31-38. PubMed ID: 31282932
[TBL] [Abstract][Full Text] [Related]
38. Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.
Gao J; Chen G; O'Rourke AP; Caskey J; Carey KA; Oguss M; Stey A; Dligach D; Miller T; Mayampurath A; Churpek MM; Afshar M
J Am Med Inform Assoc; 2024 May; 31(6):1291-1302. PubMed ID: 38587875
[TBL] [Abstract][Full Text] [Related]
39. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).
Li J; Lin Y; Zhao P; Liu W; Cai L; Sun J; Zhao L; Yang Z; Song H; Lv H; Wang Z
BMC Med Inform Decis Mak; 2022 Jul; 22(1):200. PubMed ID: 35907966
[TBL] [Abstract][Full Text] [Related]
40. Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer.
Hoogendoorn M; Szolovits P; Moons LMG; Numans ME
Artif Intell Med; 2016 May; 69():53-61. PubMed ID: 27085847
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]