Published on in Vol 5, No 2 (2017): Apr-Jun

Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Journals

  1. Spasic I, Nenadic G. Clinical Text Data in Machine Learning: Systematic Review. JMIR Medical Informatics 2020;8(3):e17984 View
  2. Zheng S, Jabbour S, O'Reilly S, Lu J, Dong L, Ding L, Xiao Y, Yue N, Wang F, Zou W. Automated Information Extraction on Treatment and Prognosis for Non–Small Cell Lung Cancer Radiotherapy Patients: Clinical Study. JMIR Medical Informatics 2018;6(1):e8 View
  3. Hardjojo A, Gunachandran A, Pang L, Abdullah M, Wah W, Chong J, Goh E, Teo S, Lim G, Lee M, Hsu W, Lee V, Chen M, Wong F, Phang J. Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore. JMIR Medical Informatics 2018;6(2):e36 View
  4. Zhou L, Suominen H, Gedeon T. Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions. JMIR Medical Informatics 2019;7(2):e11499 View
  5. Dantes R, Zheng S, Lu J, Beckman M, Krishnaswamy A, Richardson L, Chernetsky-Tejedor S, Wang F. Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform. Medical Care 2018;56(9):e54 View
  6. Raghav R, Dhavachelvan P, Vijayakumar V, Subramaniyaswamy V, Abawajy J, Yang L. Bigdata fog based cyber physical system for classifying, identifying and prevention of SARS disease. Journal of Intelligent & Fuzzy Systems 2019;36(5):4361 View

Books/Policy Documents

  1. Gong L. Artificial Intelligence - Emerging Trends and Applications. View
  2. Catania L. Foundations of Artificial Intelligence in Healthcare and Bioscience. View
  3. Manias G, Mavrogiorgou A, Kiourtis A, Kyriazis D. Artificial Intelligence Applications and Innovations. View