BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 32046989)

  • 1. Natural language processing for structuring clinical text data on depression using UK-CRIS.
    Vaci N; Liu Q; Kormilitzin A; De Crescenzo F; Kurtulmus A; Harvey J; O'Dell B; Innocent S; Tomlinson A; Cipriani A; Nevado-Holgado A
    Evid Based Ment Health; 2020 Feb; 23(1):21-26. PubMed ID: 32046989
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.
    Chilman N; Song X; Roberts A; Tolani E; Stewart R; Chui Z; Birnie K; Harber-Aschan L; Gazard B; Chandran D; Sanyal J; Hatch S; Kolliakou A; Das-Munshi J
    BMJ Open; 2021 Mar; 11(3):e042274. PubMed ID: 33766838
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.
    Botelle R; Bhavsar V; Kadra-Scalzo G; Mascio A; Williams MV; Roberts A; Velupillai S; Stewart R
    BMJ Open; 2022 Feb; 12(2):e052911. PubMed ID: 35172999
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.
    Jackson RG; Patel R; Jayatilleke N; Kolliakou A; Ball M; Gorrell G; Roberts A; Dobson RJ; Stewart R
    BMJ Open; 2017 Jan; 7(1):e012012. PubMed ID: 28096249
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.
    Wulff A; Mast M; Hassler M; Montag S; Marschollek M; Jack T
    Methods Inf Med; 2020 Dec; 59(S 02):e64-e78. PubMed ID: 33058101
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.
    Koleck TA; Dreisbach C; Bourne PE; Bakken S
    J Am Med Inform Assoc; 2019 Apr; 26(4):364-379. PubMed ID: 30726935
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Information extraction from free text for aiding transdiagnostic psychiatry: constructing NLP pipelines tailored to clinicians' needs.
    Turner RJ; Coenen F; Roelofs F; Hagoort K; Härmä A; Grünwald PD; Velders FP; Scheepers FE
    BMC Psychiatry; 2022 Jun; 22(1):407. PubMed ID: 35715745
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.
    Dreisbach C; Koleck TA; Bourne PE; Bakken S
    Int J Med Inform; 2019 May; 125():37-46. PubMed ID: 30914179
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Associations of remote mental healthcare with clinical outcomes: a natural language processing enriched electronic health record data study protocol.
    Ahmed MS; Kornblum D; Oliver D; Fusar-Poli P; Patel R
    BMJ Open; 2023 Feb; 13(2):e067254. PubMed ID: 36764723
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [A customized method for information extraction from unstructured text data in the electronic medical records].
    Bao XY; Huang WJ; Zhang K; Jin M; Li Y; Niu CZ
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):256-263. PubMed ID: 29643524
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Med7: A transferable clinical natural language processing model for electronic health records.
    Kormilitzin A; Vaci N; Liu Q; Nevado-Holgado A
    Artif Intell Med; 2021 Aug; 118():102086. PubMed ID: 34412834
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data.
    Sezgin E; Hussain SA; Rust S; Huang Y
    JMIR Form Res; 2023 Mar; 7():e43014. PubMed ID: 36881467
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Facilitating clinical research through automation: Combining optical character recognition with natural language processing.
    Hom J; Nikowitz J; Ottesen R; Niland JC
    Clin Trials; 2022 Oct; 19(5):504-511. PubMed ID: 35608136
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.
    Savova GK; Danciu I; Alamudun F; Miller T; Lin C; Bitterman DS; Tourassi G; Warner JL
    Cancer Res; 2019 Nov; 79(21):5463-5470. PubMed ID: 31395609
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system.
    Fonferko-Shadrach B; Lacey AS; Roberts A; Akbari A; Thompson S; Ford DV; Lyons RA; Rees MI; Pickrell WO
    BMJ Open; 2019 Apr; 9(4):e023232. PubMed ID: 30940752
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison of word embeddings for the biomedical natural language processing.
    Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
    J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning-based detection of psychiatric attributes from German mental health records.
    Madan S; Julius Zimmer F; Balabin H; Schaaf S; Fröhlich H; Fluck J; Neuner I; Mathiak K; Hofmann-Apitius M; Sarkheil P
    Int J Med Inform; 2022 May; 161():104724. PubMed ID: 35279550
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Programming techniques for improving rule readability for rule-based information extraction natural language processing pipelines of unstructured and semi-structured medical texts.
    Ladas N; Borchert F; Franz S; Rehberg A; Strauch N; Sommer KK; Marschollek M; Gietzelt M
    Health Informatics J; 2023; 29(2):14604582231164696. PubMed ID: 37068028
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.