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.
223 related articles for article (PubMed ID: 32330852)
1. Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry. Fabacher T; Godet J; Klein D; Velten M; Jegu J Int J Med Inform; 2020 Jul; 139():104139. PubMed ID: 32330852 [TBL] [Abstract][Full Text] [Related]
2. Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning. Osborne JD; Wyatt M; Westfall AO; Willig J; Bethard S; Gordon G J Am Med Inform Assoc; 2016 Nov; 23(6):1077-1084. PubMed ID: 27026618 [TBL] [Abstract][Full Text] [Related]
3. Automated selection of relevant information for notification of incident cancer cases within a multisource cancer registry. Jouhet V; Defossez G; ; ; Ingrand P Methods Inf Med; 2013; 52(5):411-21. PubMed ID: 23615926 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Cross-registry neural domain adaptation to extract mutational test results from pathology reports. Rios A; Durbin EB; Hands I; Arnold SM; Shah D; Schwartz SM; Goulart BHL; Kavuluru R J Biomed Inform; 2019 Sep; 97():103267. PubMed ID: 31401235 [TBL] [Abstract][Full Text] [Related]
6. Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing. Garg R; Oh E; Naidech A; Kording K; Prabhakaran S J Stroke Cerebrovasc Dis; 2019 Jul; 28(7):2045-2051. PubMed ID: 31103549 [TBL] [Abstract][Full Text] [Related]
7. Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning-Based Text-Mining Approach. Azzolina D; Bressan S; Lorenzoni G; Baldan GA; Bartolotta P; Scognamiglio F; Francavilla A; Lanera C; Da Dalt L; Gregori D JMIR Public Health Surveill; 2023 Jul; 9():e44467. PubMed ID: 37436799 [TBL] [Abstract][Full Text] [Related]
8. Using text mining techniques to extract prostate cancer predictive information (Gleason score) from semi-structured narrative laboratory reports in the Gauteng province, South Africa. Cassim N; Mapundu M; Olago V; Celik T; George JA; Glencross DK BMC Med Inform Decis Mak; 2021 Nov; 21(1):330. PubMed ID: 34823522 [TBL] [Abstract][Full Text] [Related]
9. Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature. Singhal A; Simmons M; Lu Z J Am Med Inform Assoc; 2016 Jul; 23(4):766-72. PubMed ID: 27121612 [TBL] [Abstract][Full Text] [Related]
10. Automated classification of free-text pathology reports for registration of incident cases of cancer. Jouhet V; Defossez G; Burgun A; le Beux P; Levillain P; Ingrand P; Claveau V Methods Inf Med; 2012; 51(3):242-51. PubMed ID: 21792466 [TBL] [Abstract][Full Text] [Related]
12. Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI. Liu B; Cheng J; Guo DJ; He XJ; Luo YD; Zeng Y; Li CM Clin Radiol; 2019 Nov; 74(11):896.e1-896.e8. PubMed ID: 31495546 [TBL] [Abstract][Full Text] [Related]
13. Adenocarcinoma of the prostate in Iceland: a population-based study of stage, Gleason grade, treatment and long-term survival in males diagnosed between 1983 and 1987. Jonsson E; Sigbjarnarson HP; Tomasson J; Benediktsdottir KR; Tryggvadottir L; Hrafnkelsson J; Olafsdottir EJ; Tulinius H; Jonasson JG Scand J Urol Nephrol; 2006; 40(4):265-71. PubMed ID: 16916765 [TBL] [Abstract][Full Text] [Related]
14. Italian cancer figures--Report 2015: The burden of rare cancers in Italy. ; Busco S; Buzzoni C; Mallone S; Trama A; Castaing M; Bella F; Amodio R; Bizzoco S; Cassetti T; Cirilli C; Cusimano R; De Angelis R; Fusco M; Gatta G; Gennaro V; Giacomin A; Giorgi Rossi P; Mangone L; Mannino S; Rossi S; Pierannunzio D; Tavilla A; Tognazzo S; Tumino R; Vicentini M; Vitale MF; Crocetti E; Dal Maso L Epidemiol Prev; 2016; 40(1 Suppl 2):1-120. PubMed ID: 26951748 [TBL] [Abstract][Full Text] [Related]
15. Prostate Cancer in Iran: Trends in Incidence and Morphological and Epidemiological Characteristics. Pakzad R; Rafiemanesh H; Ghoncheh M; Sarmad A; Salehiniya H; Hosseini S; Sepehri Z; Afshari-Moghadam A Asian Pac J Cancer Prev; 2016; 17(2):839-43. PubMed ID: 26925689 [TBL] [Abstract][Full Text] [Related]
16. [Epidemiology of prostate cancer in the Limousin area]. Druet-Cabanac M; Colombeau P; Preux PM; Paulhac P; Vergnenegre A; Dumas JP Prog Urol; 2002 Apr; 12(2):226-31. PubMed ID: 12108336 [TBL] [Abstract][Full Text] [Related]
17. [Role of hospital claims databases from care units for estimating thyroid cancer incidence in the Rhône-Alpes region of France]. Hafdi-Nejjari Z; Couris CM; Schott AM; Perrot L; Bourgoin F; Borson-Chazot F; Sassolas G Rev Epidemiol Sante Publique; 2006 Oct; 54(5):391-8. PubMed ID: 17149160 [TBL] [Abstract][Full Text] [Related]
18. Clinical characteristics and primary treatment of prostate cancer in Sweden between 1996 and 2005. Adolfsson J; Garmo H; Varenhorst E; Ahlgren G; Ahlstrand C; Andrén O; Bill-Axelson A; Bratt O; Damber JE; Hellström K; Hellström M; Holmberg E; Holmberg L; Hugosson J; Johansson JE; Petterson B; Törnblom M; Widmark A; Stattin P Scand J Urol Nephrol; 2007; 41(6):456-77. PubMed ID: 17934985 [TBL] [Abstract][Full Text] [Related]
19. Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records. Seneviratne MG; Banda JM; Brooks JD; Shah NH; Hernandez-Boussard TM AMIA Annu Symp Proc; 2018; 2018():1498-1504. PubMed ID: 30815195 [TBL] [Abstract][Full Text] [Related]