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

Viewpoints and Perspectives (514) Clinical Information and Decision Making (1407) Big Data (240) Advanced Data Analytics in eHealth (133)

Published on in Vol 18, No 7 (2016): July

Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics

Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics

Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics

Authors of this article:

Sven Van Poucke1 Author Orcid Image ;   Michiel Thomeer2 Author Orcid Image ;   John Heath3 Author Orcid Image ;   Milan Vukicevic4 Author Orcid Image
Article Authors Cited by (36) Tweetations (65) Metrics

Journals

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  16. Cresswell K, Callaghan M, Khan S, Sheikh Z, Mozaffar H, Sheikh A. Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review. Health Informatics Journal 2020;26(3):2138 View
  17. Li P, Xie C, Pollard T, Johnson A, Cao D, Kang H, Liang H, Zhang Y, Liu X, Fan Y, Zhang Y, Xue W, Xie L, Celi L, Zhang Z. Promoting Secondary Analysis of Electronic Medical Records in China: Summary of the PLAGH-MIT Critical Data Conference and Health Datathon. JMIR Medical Informatics 2017;5(4):e43 View
  18. Vitale A, Peck-Radosavljevic M, Giannini E, Vibert E, Sieghart W, Van Poucke S, Pawlik T. Personalized treatment of patients with very early hepatocellular carcinoma. Journal of Hepatology 2017;66(2):412 View
  19. Ponce M. Epistemologga de la Medicina: CCmo saben los mmdicos que lo que saben es verdadero? El saber mmdico en la era del saber inducido por la industria farmaccutica: El caso Vioxx (Medicine's Epistemology: How Do Doctors Know What They Know is True? The Medical Knowledge in the Era of Big Pharma-Induced Knowledge: The Vioxx Case). SSRN Electronic Journal 2018 View
  20. Cai M, Liu E, Zhang R, Lin X, Rigdon S, Qian Z, Belue R, Chang J. <p>Comparing the Performance of Charlson and Elixhauser Comorbidity Indices to Predict In-Hospital Mortality Among a Chinese Population</p>. Clinical Epidemiology 2020;Volume 12:307 View
  21. Lange J, DiSegna S, Yang W, Li W, Franklin P. Using Cluster Analysis to Identify Patient Factors Linked to Differential Functional Gains After Total Knee Arthroplasty. The Journal of Arthroplasty 2020;35(1):121 View
  22. Dremel C, Stoeckli E, Wulf J. Management of analytics-as-a-service - results from an action design research project. Journal of Business Analytics 2020;3(1):1 View
  23. Jain N, Labaran L, Phillips F, Khan S, Jain A, Kebaish K, Hassanzadeh H. Prevalence of Osteoporosis Treatment and Its Effect on Post-Operative Complications, Revision Surgery and Costs After Multi-Level Spinal Fusion. Global Spine Journal 2022;12(6):1119 View
  24. Carvalho Laureano I, Cabral Cavalcanti A, Cavalcanti A. Clinical Trials Developed in Brazil on Covid-19: What Is Being Researched?. Shiraz E-Medical Journal 2020;21(12) View
  25. Zeleke A, Naziyok T, Fritz F, Christianson L, Röhrig R. Data Quality and Cost-effectiveness Analyses of Electronic and Paper-Based Interviewer-Administered Public Health Surveys: Systematic Review. Journal of Medical Internet Research 2021;23(1):e21382 View
  26. Xu A, Prasad V. The use and meaning of the parachute metaphor in biomedicine: a citation analysis of a systematic review and a randomized trial of the parachute for freefall. Journal of Comparative Effectiveness Research 2022;11(6):383 View
  27. Sharma R, Jones K, Anderson W, Inthiran A, Tabatabaee M. The digital transformation of higher education – “uni for nothin’, MOOCs for free”?. Journal of Information Technology Case and Application Research 2022;24(1):34 View
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