Who Runs the World: Data

EnglishTürkçe

CHAPTER


DOI :10.26650/B/ET06.2020.011.13   IUP :10.26650/B/ET06.2020.011.13    Full Text (PDF)

Data Collection Approaches for Artificial Intelligence Applications in Healthcare

Murat Gezer, Çiğdem Erol

As in all other fields, research in the field of artificial intelligence is rapidly continuing in the field of health. As a result of this research, the importance of data comes to the fore. In this study, which includes data collection approaches in the field of health, we aim to emphasize the importance of data in this field and to contribute to the more conscious handling of the data to be used in artificial intelligence applications at every stage. For this purpose, the definition of data and how to distinguish information and knowledge are mentioned. The characteristics of data and data collection methods are also mentioned, and an attempt is made to emphasize the importance of health data collection in artificial intelligence research. As a result of this study, we believe that all personnel working in data-related departments and the health field, where the moment is vital, must receive training on collecting, storing, sharing data, and data security in particular. In our study we emphasize that especially the people who produce and consume data must have the awareness and morality for every step of data collection and handling, and that this issue should be prioritized in the field of health.


Keywords: Artificial intelligence, Data collection approaches, Data, Healthcare, Machine learning

References

  • AoRMC, (2019) Academy of Royal Medicine Colleges Report: Artificial Intelligence in Colleges. google scholar
  • Ackoff, R. L. (1999) Ackoff’s Best. New York: John Wiley & Sons, pp 170 – 172. google scholar
  • Ackoff, R.L. (1989) From data to wisdom, Journal of Applied Systems Analysis 16 3–9. google scholar
  • Chaffey, D., Wood, S. (2005). Business Information Management: Improving Performance using Information Systems (FT Prentice Hall, Harlow). google scholar
  • Doğan G.,(2019). Veri toplama araçları [Data Collection Tools]. https://acikveri.ulakbim.gov.tr/acik-veri-acikbilim/bolum-2-arastirma-verisi-hazirlama-sureci/2-5-veri-toplama-araclari/. (erişim tarihi: 01.8.2019) google scholar
  • Dülger M. V. (2015), Sağlık Hukukunda Kişisel Verilerin Korunması ve Hasta Mahremiyeti [Protection of Personal Data In Health Law And Patient Privacy], İstanbul Medipol Üniversitesi Hukuk Fakültesi Dergisi 1)20, 43-80. google scholar
  • Jox j.j., Boeije H. R., (2005) Data Collection Primary vs. Secondary, Encyclopedia of Social Measurement, Volum 1, Elsevier. google scholar
  • Kirch W,(2008) Encyclopedia of Public Health, Springer. google scholar
  • Lim, C., Kim, K. H., Kim, M. J., Heo, J. Y., Kim, K. J., & Maglio, P. P. (2018). From data to value: A nine-factor framework for data-based value creation in information-intensive services. International Journal of Information Management, 39, 121-135. google scholar
  • Rowley, J., (2007). The wisdom hierarchy: representations of the DIKW hierarchy. Journal of information science, 33(2), 163-180. google scholar
  • Trochim, W. M., (2006). The Research Methods Knowledge Base, 2nd Edition. Internet WWW page, at URL: <http://www.socialresearchmethods.net/kb/> (version current as of October 20, 2006). google scholar
  • Sarkies, M. N., Bowles, K. A., Skinner, E. H., Mitchell, D., Haas, R., Ho, M., … Haines, T. P. (2015). Data collection methods in health services research: hospital length of stay and discharge destination. Applied clinical informatics, 6(1), 96–109. DOI:10.4338/ACI-2014-10-RA-0097 google scholar
  • Otieno-Odawa, C. F., & Kaseje, D. O. (2014). Validity and reliability of data collected by community health workers in rural and peri-urban contexts in Kenya. BMC health services research, 14 Suppl 1(Suppl 1), S5. DOI:10.1186/1472-6963-14-S1-S5 google scholar
  • WHO Library Cataloguing in Publication Data (2003) Improving data quality: a guide for developing countries. World Health Organization, Geneva google scholar


SHARE




Istanbul University Press aims to contribute to the dissemination of ever growing scientific knowledge through publication of high quality scientific journals and books in accordance with the international publishing standards and ethics. Istanbul University Press follows an open access, non-commercial, scholarly publishing.