Introduction of Health Information Technology Professionals for Data Mining in Hospitals
Abstract
No Abstract
1. Khalifa M, Alswailem O (2015). Hospital in-formation systems (HIS) acceptance and satisfaction: A case study of a tertiary care hospital. Procedia Computer Science, 63:198-204.
2. Reis ZS, Maia TA, Marcolino MS, et al (2017). Is there evidence of cost benefits of electronic medical records, standards, or interoperability in hospital information systems? Overview of systematic reviews. JMIR Med Inform, 5(3):e26.
3. Idri A, Benhar H, Fernández-Alemán JL, Kadi I (2018). A systematic map of medi-cal data preprocessing in knowledge dis-covery. Computer Methods and Programs in Bi-omedicine, 162:69-85.
4. Mahindrakar P, Hanumanthappa M (2013). Data mining in healthcare: A survey of techniques and algorithms with its limita-tions and challenges. International Journal of Engineering Research and Applications, 3(6):937-941.
5. Han J, Pei J, Kamber M (2011). Data mining: concepts and techniques. 3rd edition, Elsevier, USA.
6. Holzinger A, Dehmer M, Jurisica I (2014). Knowledge discovery and interactive data mining in bioinformatics-state-of-the-art, future challenges and research directions. BMC Bioinformatics, 15(6):I1.
7. Malik MM, Abdallah S, Ala’raj M (2018). Data mining and predictive analytics ap-plications for the delivery of healthcare services: a systematic literature review. Annals of Operations Research, 270(1-2):287-312.
8. Klinedinst J. editor (2017). The Handbook of Continuing Professional Development for the Health IT Professional. CRC Press, USA.
9. Fenton SH, Joost E, Gongora-Ferraez MJ (2012). Health information technology knowledge and skills needed by HIT em-ployers. Appl Clin Inform, 3(4):448-461.
10. Malec B, Malec BT (2014). Careers in health in-formation technology. Springer Publishing Company, USA.
2. Reis ZS, Maia TA, Marcolino MS, et al (2017). Is there evidence of cost benefits of electronic medical records, standards, or interoperability in hospital information systems? Overview of systematic reviews. JMIR Med Inform, 5(3):e26.
3. Idri A, Benhar H, Fernández-Alemán JL, Kadi I (2018). A systematic map of medi-cal data preprocessing in knowledge dis-covery. Computer Methods and Programs in Bi-omedicine, 162:69-85.
4. Mahindrakar P, Hanumanthappa M (2013). Data mining in healthcare: A survey of techniques and algorithms with its limita-tions and challenges. International Journal of Engineering Research and Applications, 3(6):937-941.
5. Han J, Pei J, Kamber M (2011). Data mining: concepts and techniques. 3rd edition, Elsevier, USA.
6. Holzinger A, Dehmer M, Jurisica I (2014). Knowledge discovery and interactive data mining in bioinformatics-state-of-the-art, future challenges and research directions. BMC Bioinformatics, 15(6):I1.
7. Malik MM, Abdallah S, Ala’raj M (2018). Data mining and predictive analytics ap-plications for the delivery of healthcare services: a systematic literature review. Annals of Operations Research, 270(1-2):287-312.
8. Klinedinst J. editor (2017). The Handbook of Continuing Professional Development for the Health IT Professional. CRC Press, USA.
9. Fenton SH, Joost E, Gongora-Ferraez MJ (2012). Health information technology knowledge and skills needed by HIT em-ployers. Appl Clin Inform, 3(4):448-461.
10. Malec B, Malec BT (2014). Careers in health in-formation technology. Springer Publishing Company, USA.
| Files | ||
| Issue | Vol 50 No 11 (2021) | |
| Section | Letter to the Editor | |
| DOI | https://doi.org/10.18502/ijph.v50i11.7598 | |
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Aalipour E, Ghazisaeedi M. Introduction of Health Information Technology Professionals for Data Mining in Hospitals. Iran J Public Health. 2021;50(11):2355-2357.
