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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

987 related articles for article (PubMed ID: 35319481)

  • 61. Natural language processing in urology: Automated extraction of clinical information from histopathology reports of uro-oncology procedures.
    Huang H; Lim FXY; Gu GT; Han MJ; Fang AHS; Chia EHS; Bei EYT; Tham SZ; Ho HSS; Yuen JSP; Sun A; Lim JKS
    Heliyon; 2023 Apr; 9(4):e14793. PubMed ID: 37025805
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Identification of asthma control factor in clinical notes using a hybrid deep learning model.
    Agnikula Kshatriya BS; Sagheb E; Wi CI; Yoon J; Seol HY; Juhn Y; Sohn S
    BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 7):272. PubMed ID: 34753481
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
    Yang E; Li MD; Raghavan S; Deng F; Lang M; Succi MD; Huang AJ; Kalpathy-Cramer J
    Br J Radiol; 2023 Sep; 96(1149):20220769. PubMed ID: 37162253
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech.
    Balagopalan A; Eyre B; Robin J; Rudzicz F; Novikova J
    Front Aging Neurosci; 2021; 13():635945. PubMed ID: 33986655
    [No Abstract]   [Full Text] [Related]  

  • 65. BatteryDataExtractor: battery-aware text-mining software embedded with BERT models.
    Huang S; Cole JM
    Chem Sci; 2022 Oct; 13(39):11487-11495. PubMed ID: 36348711
    [TBL] [Abstract][Full Text] [Related]  

  • 66. 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]  

  • 67. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning-Based Solution.
    Gatto J; Seegmiller P; Johnston G; Preum SM
    JMIR Med Inform; 2022 Sep; 10(9):e37770. PubMed ID: 35981230
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification, Named-Entity Recognition, and Relation-Extraction Heuristics.
    Oliwa T; Maron SB; Chase LM; Lomnicki S; Catenacci DVT; Furner B; Volchenboum SL
    JCO Clin Cancer Inform; 2019 Aug; 3():1-8. PubMed ID: 31365274
    [TBL] [Abstract][Full Text] [Related]  

  • 69. Bioformer: an efficient transformer language model for biomedical text mining.
    Fang L; Chen Q; Wei CH; Lu Z; Wang K
    ArXiv; 2023 Feb; ():. PubMed ID: 36945685
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning.
    Chen PF; Wang SM; Liao WC; Kuo LC; Chen KC; Lin YC; Yang CY; Chiu CH; Chang SC; Lai F
    JMIR Med Inform; 2021 Aug; 9(8):e23230. PubMed ID: 34463639
    [TBL] [Abstract][Full Text] [Related]  

  • 71. Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system.
    Chen Y; Hao L; Zou VZ; Hollander Z; Ng RT; Isaac KV
    BMC Med Res Methodol; 2022 May; 22(1):136. PubMed ID: 35549854
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Automatic Diagnosis Labeling of Cardiovascular MRI by Using Semisupervised Natural Language Processing of Text Reports.
    Zaman S; Petri C; Vimalesvaran K; Howard J; Bharath A; Francis D; Peters N; Cole GD; Linton N
    Radiol Artif Intell; 2022 Jan; 4(1):e210085. PubMed ID: 35146435
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records.
    Stein JD; Zhou Y; Andrews CA; Kim JE; Addis V; Bixler J; Grove N; McMillan B; Munir SZ; Pershing S; Schultz JS; Stagg BC; Wang SY; Woreta F;
    Am J Ophthalmol; 2024 Jun; 262():153-160. PubMed ID: 38296152
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports.
    Elmarakeby HA; Trukhanov PS; Arroyo VM; Riaz IB; Schrag D; Van Allen EM; Kehl KL
    BMC Bioinformatics; 2023 Sep; 24(1):328. PubMed ID: 37658330
    [TBL] [Abstract][Full Text] [Related]  

  • 75. Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.
    Borjali A; Magnéli M; Shin D; Malchau H; Muratoglu OK; Varadarajan KM
    Comput Biol Med; 2021 Feb; 129():104140. PubMed ID: 33278631
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Using Social Media to Help Understand Patient-Reported Health Outcomes of Post-COVID-19 Condition: Natural Language Processing Approach.
    Dolatabadi E; Moyano D; Bales M; Spasojevic S; Bhambhoria R; Bhatti J; Debnath S; Hoell N; Li X; Leng C; Nanda S; Saab J; Sahak E; Sie F; Uppal S; Vadlamudi NK; Vladimirova A; Yakimovich A; Yang X; Kocak SA; Cheung AM
    J Med Internet Res; 2023 Sep; 25():e45767. PubMed ID: 37725432
    [TBL] [Abstract][Full Text] [Related]  

  • 77. SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions.
    Sarrouti M; Ouatik El Alaoui S
    Artif Intell Med; 2020 Jan; 102():101767. PubMed ID: 31980104
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Improving text mining in plant health domain with GAN and/or pre-trained language model.
    Jiang S; Cormier S; Angarita R; Rousseaux F
    Front Artif Intell; 2023; 6():1072329. PubMed ID: 36895200
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Using natural language processing to identify opioid use disorder in electronic health record data.
    Singleton J; Li C; Akpunonu PD; Abner EL; Kucharska-Newton AM
    Int J Med Inform; 2023 Feb; 170():104963. PubMed ID: 36521420
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Predicting medical specialty from text based on a domain-specific pre-trained BERT.
    Kim Y; Kim JH; Kim YM; Song S; Joo HJ
    Int J Med Inform; 2023 Feb; 170():104956. PubMed ID: 36512987
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 50.