These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
325 related articles for article (PubMed ID: 30537974)
21. Patient representation learning and interpretable evaluation using clinical notes. Sushil M; Šuster S; Luyckx K; Daelemans W J Biomed Inform; 2018 Aug; 84():103-113. PubMed ID: 29966746 [TBL] [Abstract][Full Text] [Related]
22. Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD). Gu Y; Leroy G; Pettygrove S; Galindo MK; Kurzius-Spencer M AMIA Annu Symp Proc; 2018; 2018():508-517. PubMed ID: 30815091 [TBL] [Abstract][Full Text] [Related]
23. Projection Word Embedding Model With Hybrid Sampling Training for Classifying ICD-10-CM Codes: Longitudinal Observational Study. Lin C; Lou YS; Tsai DJ; Lee CC; Hsu CJ; Wu DC; Wang MC; Fang WH JMIR Med Inform; 2019 Jul; 7(3):e14499. PubMed ID: 31339103 [TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
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]
28. Towards automated clinical coding. Catling F; Spithourakis GP; Riedel S Int J Med Inform; 2018 Dec; 120():50-61. PubMed ID: 30409346 [TBL] [Abstract][Full Text] [Related]
29. Modeling Healthcare Quality via Compact Representations of Electronic Health Records. Stojanovic J; Gligorijevic D; Radosavljevic V; Djuric N; Grbovic M; Obradovic Z IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(3):545-554. PubMed ID: 27429443 [TBL] [Abstract][Full Text] [Related]
30. The quest for better clinical word vectors: Ontology based and lexical vector augmentation versus clinical contextual embeddings. Nath N; Lee SH; McDonnell MD; Lee I Comput Biol Med; 2021 Jul; 134():104433. PubMed ID: 34004575 [TBL] [Abstract][Full Text] [Related]
31. The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding. Neuraz A; Rance B; Garcelon N; Llanos LC; Burgun A; Rosset S Stud Health Technol Inform; 2020 Jun; 270():432-436. PubMed ID: 32570421 [TBL] [Abstract][Full Text] [Related]
32. ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records Analysis. Gan Z; Zhou D; Rush E; Panickan VA; Ho YL; Ostrouchov G; Xu Z; Shen S; Xiong X; Greco KF; Hong C; Bonzel CL; Wen J; Costa L; Cai T; Begoli E; Xia Z; Gaziano JM; Liao KP; Cho K; Cai T; Lu J medRxiv; 2023 May; ():. PubMed ID: 37293026 [TBL] [Abstract][Full Text] [Related]
33. Identifying Symptom Information in Clinical Notes Using Natural Language Processing. Koleck TA; Tatonetti NP; Bakken S; Mitha S; Henderson MM; George M; Miaskowski C; Smaldone A; Topaz M Nurs Res; 2021 May-Jun 01; 70(3):173-183. PubMed ID: 33196504 [TBL] [Abstract][Full Text] [Related]
34. Medical Concept Representation Learning from Multi-source Data. Bai T; Egleston BL; Bleicher R; Vucetic S IJCAI (U S); 2019 Jul; 2019():4897-4903. PubMed ID: 32116463 [TBL] [Abstract][Full Text] [Related]
35. 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]
36. Incorporating medical code descriptions for diagnosis prediction in healthcare. Ma F; Wang Y; Xiao H; Yuan Y; Chitta R; Zhou J; Gao J BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 6):267. PubMed ID: 31856806 [TBL] [Abstract][Full Text] [Related]
37. Development of a Method for Automatic Matching of Unstructured Medical Data to ICD-10 Codes. Volkov B; Kopanitsa G Stud Health Technol Inform; 2024 May; 314():93-97. PubMed ID: 38785010 [TBL] [Abstract][Full Text] [Related]
38. Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. Sharma B; Dligach D; Swope K; Salisbury-Afshar E; Karnik NS; Joyce C; Afshar M BMC Med Inform Decis Mak; 2020 Apr; 20(1):79. PubMed ID: 32349766 [TBL] [Abstract][Full Text] [Related]
39. Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. Gu G; Zhang X; Zhu X; Jian Z; Chen K; Wen D; Gao L; Zhang S; Wang F; Ma H; Lei J JMIR Med Inform; 2019 May; 7(2):e12704. PubMed ID: 31124461 [TBL] [Abstract][Full Text] [Related]
40. Acronym Disambiguation in Spanish Electronic Health Narratives Using Machine Learning Techniques. Rubio-López I; Costumero R; Ambit H; Gonzalo-Martín C; Menasalvas E; Rodríguez González A Stud Health Technol Inform; 2017; 235():251-255. PubMed ID: 28423792 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]