260 related articles for article (PubMed ID: 37293026)
21. Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.
Chen J; Yu H
J Biomed Inform; 2017 Apr; 68():121-131. PubMed ID: 28267590
[TBL] [Abstract][Full Text] [Related]
22. Comparative effectiveness of medical concept embedding for feature engineering in phenotyping.
Lee J; Liu C; Kim JH; Butler A; Shang N; Pang C; Natarajan K; Ryan P; Ta C; Weng C
JAMIA Open; 2021 Apr; 4(2):ooab028. PubMed ID: 34142015
[TBL] [Abstract][Full Text] [Related]
23. Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.
Cai T; He Z; Hong C; Zhang Y; Ho YL; Honerlaw J; Geva A; Ayakulangara Panickan V; King A; Gagnon DR; Gaziano M; Cho K; Liao K; Cai T
J Biomed Inform; 2022 Aug; 132():104109. PubMed ID: 35660521
[TBL] [Abstract][Full Text] [Related]
24. Genetic validation of bipolar disorder identified by automated phenotyping using electronic health records.
Chen CY; Lee PH; Castro VM; Minnier J; Charney AW; Stahl EA; Ruderfer DM; Murphy SN; Gainer V; Cai T; Jones I; Pato CN; Pato MT; Landén M; Sklar P; Perlis RH; Smoller JW
Transl Psychiatry; 2018 Apr; 8(1):86. PubMed ID: 29666432
[TBL] [Abstract][Full Text] [Related]
25. Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study.
Oniani D; Chandrasekar P; Sivarajkumar S; Wang Y
JMIR AI; 2023 May; 2():e44293. PubMed ID: 38875537
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records.
Ashburner JM; Chang Y; Wang X; Khurshid S; Anderson CD; Dahal K; Weisenfeld D; Cai T; Liao KP; Wagholikar KB; Murphy SN; Atlas SJ; Lubitz SA; Singer DE
J Am Heart Assoc; 2022 Aug; 11(15):e026014. PubMed ID: 35904194
[TBL] [Abstract][Full Text] [Related]
28. Looking for low vision: Predicting visual prognosis by fusing structured and free-text data from electronic health records.
Gui H; Tseng B; Hu W; Wang SY
Int J Med Inform; 2022 Mar; 159():104678. PubMed ID: 34999410
[TBL] [Abstract][Full Text] [Related]
29. EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records.
Wang G; Lou X; Guo F; Kwok D; Cao C
IEEE J Biomed Health Inform; 2024 Mar; 28(3):1668-1679. PubMed ID: 38133976
[TBL] [Abstract][Full Text] [Related]
30. Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts.
Jiang S; Wu W; Tomita N; Ganoe C; Hassanpour S
J Biomed Inform; 2020 Nov; 111():103581. PubMed ID: 33010425
[TBL] [Abstract][Full Text] [Related]
31. BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale.
Chen Q; Lee K; Yan S; Kim S; Wei CH; Lu Z
PLoS Comput Biol; 2020 Apr; 16(4):e1007617. PubMed ID: 32324731
[TBL] [Abstract][Full Text] [Related]
32. Knowledge-Driven Online Multimodal Automated Phenotyping System.
Xiong X; Sweet SM; Liu M; Hong C; Bonzel CL; Panickan VA; Zhou D; Wang L; Costa L; Ho YL; Geva A; Mandl KD; Cheng S; Xia Z; Cho K; Gaziano JM; Liao KP; Cai T; Cai T
medRxiv; 2023 Oct; ():. PubMed ID: 37873131
[TBL] [Abstract][Full Text] [Related]
33. Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records.
Lion M; Shahar Y
J Biomed Inform; 2021 Nov; 123():103919. PubMed ID: 34628062
[TBL] [Abstract][Full Text] [Related]
34. Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis.
Ormerod M; Martínez Del Rincón J; Devereux B
JMIR Med Inform; 2021 May; 9(5):e23099. PubMed ID: 34037527
[TBL] [Abstract][Full Text] [Related]
35. A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.
Chiang CC; Luo M; Dumkrieger G; Trivedi S; Chen YC; Chao CJ; Schwedt TJ; Sarker A; Banerjee I
Headache; 2024 Apr; 64(4):400-409. PubMed ID: 38525734
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.
Chen J; Jagannatha AN; Fodeh SJ; Yu H
JMIR Med Inform; 2017 Oct; 5(4):e42. PubMed ID: 29089288
[TBL] [Abstract][Full Text] [Related]
38. Natural language processing to identify lupus nephritis phenotype in electronic health records.
Deng Y; Pacheco JA; Ghosh A; Chung A; Mao C; Smith JC; Zhao J; Wei WQ; Barnado A; Dorn C; Weng C; Liu C; Cordon A; Yu J; Tedla Y; Kho A; Ramsey-Goldman R; Walunas T; Luo Y
BMC Med Inform Decis Mak; 2024 Mar; 22(Suppl 2):348. PubMed ID: 38433189
[TBL] [Abstract][Full Text] [Related]
39. Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review.
Sheikhalishahi S; Miotto R; Dudley JT; Lavelli A; Rinaldi F; Osmani V
JMIR Med Inform; 2019 Apr; 7(2):e12239. PubMed ID: 31066697
[TBL] [Abstract][Full Text] [Related]
40. Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.
Lee RY; Kross EK; Torrence J; Li KS; Sibley J; Cohen T; Lober WB; Engelberg RA; Curtis JR
JAMA Netw Open; 2023 Mar; 6(3):e231204. PubMed ID: 36862411
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]