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Citing this Article

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Published on 20.10.14 in Vol 2, No 2 (2014): Jul-Dec

This paper is in the following e-collection/theme issue:

Works citing "Clinical Data Miner: An Electronic Case Report Form System With Integrated Data Preprocessing and Machine-Learning Libraries Supporting Clinical Diagnostic Model Research"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.3251):

(note that this is only a small subset of citations)

  1. Yu C, Lin Y, Lin C, Lin S, Wu JL, Chang S. Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach. Journal of Medical Internet Research 2020;22(6):e18585
  2. Wei M, Wang Z, Wang X, Peng J, Song Y. Prediction of TBM penetration rate based on Monte Carlo-BP neural network. Neural Computing and Applications 2020;
  3. Rasmussen CK, Van den Bosch T, Exacoustos C, Manegold‐Brauer G, Benacerraf BR, Froyman W, Landolfo C, Condorelli M, Egekvist AG, Josefsson H, Leone FPG, Jokubkiene L, Zannoni L, Epstein E, Installé A, Dueholm M. Intra‐ and Inter‐Rater Agreement Describing Myometrial Lesions Using Morphologic Uterus Sonographic Assessment: A Pilot Study. Journal of Ultrasound in Medicine 2019;38(10):2673
  4. Epstein E, Fischerova D, Valentin L, Testa AC, Franchi D, Sladkevicius P, Frühauf F, Lindqvist PG, Mascilini F, Fruscio R, Haak LA, Opolskiene G, Pascual MA, Alcazar JL, Chiappa V, Guerriero S, Carlson JW, Van Holsbeke C, Giuseppe Leone FP, De Moor B, Bourne T, van Calster B, Installe A, Timmerman D, Verbakel JY, Van den Bosch T. Ultrasound characteristics of endometrial cancer as defined by International Endometrial Tumor Analysis (IETA) consensus nomenclature: prospective multicenter study. Ultrasound in Obstetrics & Gynecology 2018;51(6):818
  5. Sladkevicius P, Installé A, Van Den Bosch T, Timmerman D, Benacerraf B, Jokubkiene L, Di Legge A, Votino A, Zannoni L, De Moor B, De Cock B, Van Calster B, Valentin L. International Endometrial Tumor Analysis (IETA) terminology in women with postmenopausal bleeding and sonographic endometrial thickness ≥ 4.5 mm: agreement and reliability study. Ultrasound in Obstetrics & Gynecology 2018;51(2):259
  6. Van Schoubroeck D, Raine-Fenning N, Installé AJF, De Neubourg D, De Moor B, Bourne T, Van den Bosch T, Timmerman D. Interobserver agreement in assessment of polycystic ovarian morphology using pattern recognition. Ultrasound in Obstetrics & Gynecology 2016;47(5):652