525 related articles for article (PubMed ID: 34525412)
21. 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]
22. A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.
Kashyap A; Callison-Burch C; Boland MR
Int J Med Inform; 2023 Mar; 171():104979. PubMed ID: 36621078
[TBL] [Abstract][Full Text] [Related]
23. EHR-BERT: A BERT-based model for effective anomaly detection in electronic health records.
Niu H; Omitaomu OA; Langston MA; Olama M; Ozmen O; Klasky HB; Laurio A; Ward M; Nebeker J
J Biomed Inform; 2024 Feb; 150():104605. PubMed ID: 38331082
[TBL] [Abstract][Full Text] [Related]
24. Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
Shao W; Luo X; Zhang Z; Han Z; Chandrasekaran V; Turzhitsky V; Bali V; Roberts AR; Metzger M; Baker J; La Rosa C; Weaver J; Dexter P; Huang K
BMC Bioinformatics; 2022 Apr; 23(Suppl 3):140. PubMed ID: 35439945
[TBL] [Abstract][Full Text] [Related]
25. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
Yuan Q; Cai T; Hong C; Du M; Johnson BE; Lanuti M; Cai T; Christiani DC
JAMA Netw Open; 2021 Jul; 4(7):e2114723. PubMed ID: 34232304
[TBL] [Abstract][Full Text] [Related]
26. Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation.
Almog YA; Rai A; Zhang P; Moulaison A; Powell R; Mishra A; Weinberg K; Hamilton C; Oates M; McCloskey E; Cummings SR
J Med Internet Res; 2020 Oct; 22(10):e22550. PubMed ID: 32956069
[TBL] [Abstract][Full Text] [Related]
27. Identifying Patients With Relapsing-Remitting Multiple Sclerosis Using Algorithms Applied to US Integrated Delivery Network Healthcare Data.
Van Le H; Le Truong CT; Kamauu AWC; Holmén J; Fillmore C; Kobayashi MG; Martin C; Sabidó M; Wong SL
Value Health; 2019 Jan; 22(1):77-84. PubMed ID: 30661637
[TBL] [Abstract][Full Text] [Related]
28. Extracting comprehensive clinical information for breast cancer using deep learning methods.
Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
[TBL] [Abstract][Full Text] [Related]
29. Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.
Le DV; Montgomery J; Kirkby KC; Scanlan J
J Biomed Inform; 2018 Oct; 86():49-58. PubMed ID: 30118855
[TBL] [Abstract][Full Text] [Related]
30. Predicting post-stroke pneumonia using deep neural network approaches.
Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
[TBL] [Abstract][Full Text] [Related]
31. A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.
Lyu W; Dong X; Wong R; Zheng S; Abell-Hart K; Wang F; Chen C
AMIA Annu Symp Proc; 2022; 2022():719-728. PubMed ID: 37128451
[TBL] [Abstract][Full Text] [Related]
32. Deep learning prediction models based on EHR trajectories: A systematic review.
Amirahmadi A; Ohlsson M; Etminani K
J Biomed Inform; 2023 Aug; 144():104430. PubMed ID: 37380061
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria.
Cohen AM; Chamberlin S; Deloughery T; Nguyen M; Bedrick S; Meninger S; Ko JJ; Amin JJ; Wei AJ; Hersh W
PLoS One; 2020; 15(7):e0235574. PubMed ID: 32614911
[TBL] [Abstract][Full Text] [Related]
35. Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data.
Simon ST; Mandair D; Tiwari P; Rosenberg MA
J Cardiovasc Pharmacol Ther; 2021 Jul; 26(4):335-340. PubMed ID: 33682475
[TBL] [Abstract][Full Text] [Related]
36. Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.
Shickel B; Tighe PJ; Bihorac A; Rashidi P
IEEE J Biomed Health Inform; 2018 Sep; 22(5):1589-1604. PubMed ID: 29989977
[TBL] [Abstract][Full Text] [Related]
37. Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records.
Riskin D; Cady R; Shroff A; Hindiyeh NA; Smith T; Kymes S
BMC Med Inform Decis Mak; 2023 Jul; 23(1):121. PubMed ID: 37452338
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.
Munkhdalai T; Liu F; Yu H
JMIR Public Health Surveill; 2018 Apr; 4(2):e29. PubMed ID: 29695376
[TBL] [Abstract][Full Text] [Related]
40. Assessing stroke severity using electronic health record data: a machine learning approach.
Kogan E; Twyman K; Heap J; Milentijevic D; Lin JH; Alberts M
BMC Med Inform Decis Mak; 2020 Jan; 20(1):8. PubMed ID: 31914991
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
