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 *

124 related articles for article (PubMed ID: 17368211)

  • 41. Suspected acute appendicitis: nonenhanced helical CT in 300 consecutive patients.
    Lane MJ; Liu DM; Huynh MD; Jeffrey RB; Mindelzun RE; Katz DS
    Radiology; 1999 Nov; 213(2):341-6. PubMed ID: 10551210
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Using a Natural Language Processing and Machine Learning Algorithm Program to Analyze Inter-Radiologist Report Style Variation and Compare Variation Between Radiologists When Using Highly Structured Versus More Free Text Reporting.
    Donnelly LF; Grzeszczuk R; Guimaraes CV; Zhang W; Bisset Iii GS
    Curr Probl Diagn Radiol; 2019; 48(6):524-530. PubMed ID: 30391224
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Automated data capture from free-text radiology reports to enhance accuracy of hospital inpatient stroke codes.
    Flynn RW; Macdonald TM; Schembri N; Murray GD; Doney AS
    Pharmacoepidemiol Drug Saf; 2010 Aug; 19(8):843-7. PubMed ID: 20602346
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.
    Napolitano G; Marshall A; Hamilton P; Gavin AT
    Artif Intell Med; 2016 Jun; 70():77-83. PubMed ID: 27431038
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.
    Sevenster M; Buurman J; Liu P; Peters JF; Chang PJ
    Appl Clin Inform; 2015; 6(3):600-110. PubMed ID: 26448801
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Conventional and hydrocolonic US of the appendix with CT correlation performed by on-call radiology residents.
    Kan JH; Fines BP; Funaki B
    Acad Radiol; 2001 Dec; 8(12):1208-14. PubMed ID: 11770917
    [TBL] [Abstract][Full Text] [Related]  

  • 47. [Ultrasonographic diagnosis of appendicitis. Value and limitations].
    Nguyen QK; Nguyen VD; Nguyen VT; Huynh TT; Tran VK
    J Radiol; 1994 Oct; 75(10):537-9. PubMed ID: 7799276
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Monitoring free-text data using medical language processing.
    Zingmond D; Lenert LA
    Comput Biomed Res; 1993 Oct; 26(5):467-81. PubMed ID: 8243070
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Comparison of CT and sonography in the diagnosis of acute appendicitis: a blinded prospective study.
    Poortman P; Lohle PN; Schoemaker CM; Oostvogel HJ; Teepen HJ; Zwinderman KA; Hamming JF
    AJR Am J Roentgenol; 2003 Nov; 181(5):1355-9. PubMed ID: 14573433
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Ultrasound, computed tomography, and laboratory findings in the diagnosis of appendicitis.
    Johansson EP; Rydh A; Riklund KA
    Acta Radiol; 2007 Apr; 48(3):267-73. PubMed ID: 17453494
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Natural language processing using online analytic processing for assessing recommendations in radiology reports.
    Dang PA; Kalra MK; Blake MA; Schultz TJ; Stout M; Lemay PR; Freshman DJ; Halpern EF; Dreyer KJ
    J Am Coll Radiol; 2008 Mar; 5(3):197-204. PubMed ID: 18312968
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Automated Radiology Report Summarization Using an Open-Source Natural Language Processing Pipeline.
    Goff DJ; Loehfelm TW
    J Digit Imaging; 2018 Apr; 31(2):185-192. PubMed ID: 29086081
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.
    Zech J; Pain M; Titano J; Badgeley M; Schefflein J; Su A; Costa A; Bederson J; Lehar J; Oermann EK
    Radiology; 2018 May; 287(2):570-580. PubMed ID: 29381109
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network.
    Lee C; Kim Y; Kim YS; Jang J
    AJR Am J Roentgenol; 2019 Apr; 212(4):734-740. PubMed ID: 30699011
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Use of a Bayesian algorithm in the computer-assisted diagnosis of appendicitis.
    Edwards FH; Davies RS
    Surg Gynecol Obstet; 1984 Mar; 158(3):219-22. PubMed ID: 6367112
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Bayesian modeling for linking causally related observations in chest X-ray reports.
    Chapman WW; Haug PJ
    Proc AMIA Symp; 1998; ():587-91. PubMed ID: 9929287
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Differentiation of nonperforated from perforated appendicitis: accuracy of CT diagnosis and relationship of CT findings to length of hospital stay.
    Foley TA; Earnest F; Nathan MA; Hough DM; Schiller HJ; Hoskin TL
    Radiology; 2005 Apr; 235(1):89-96. PubMed ID: 15749978
    [TBL] [Abstract][Full Text] [Related]  

  • 58. GoldMiner: a radiology image search engine.
    Kahn CE; Thao C
    AJR Am J Roentgenol; 2007 Jun; 188(6):1475-8. PubMed ID: 17515364
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Classifying free-text triage chief complaints into syndromic categories with natural language processing.
    Chapman WW; Christensen LM; Wagner MM; Haug PJ; Ivanov O; Dowling JN; Olszewski RT
    Artif Intell Med; 2005 Jan; 33(1):31-40. PubMed ID: 15617980
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Imaging for suspected appendicitis: negative appendectomy and perforation rates.
    Bendeck SE; Nino-Murcia M; Berry GJ; Jeffrey RB
    Radiology; 2002 Oct; 225(1):131-6. PubMed ID: 12354996
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.