Data Mining as an Intangible Model of Information Therapy and Seeking Behaviors in Immune Deficiency Disease Specialists

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MOHAMMAD ESMAEIL S.; KIANMEHR SH.

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Journal Paper

Paper Information

Journal: Journal of Healthcare Management Research Year:2021 | Volume:11 | Issue:4 (SERIAL 38) Page(s): 7-17

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Title

Data Mining as an Intangible Model of Information Therapy and Seeking Behaviors in Immune Deficiency Disease Specialists

Author(s)

MOHAMMAD ESMAEIL S. | KIANMEHR SH. | Issue Writer Certificate

Keywords

Data mining

Artificial neural network

Informational therapy

Immunodeficiency diseases

Pediatric Medical Center

Abstract

Introduction: This study analyzed the information therapy behavior of immunologists in the country, based on the Cohennon self-organized neural network model. Method: Applied research has been done by descriptive survey method using neural network technique. The tool is a researcher made-questionnaire that was distributed among 149 people. Using MATLAB software, specialists based on the main components of clustering research, and then by removing each of the main sub-components, , the most effective and least effective option was determined. Results: Analysis showed in information retrieval skills; 63. 75% of the population are in the first cluster with an average of 29. 88 and in the second cluster 36. 24% with an average score of 30. 22, and the most important component is the use of keywords and terms related to the required information. About ways to get information; 22. 14% of the population with an average score of 54. 36 in the first cluster, 18. 12% of individuals with an average of 48. 11 in the second cluster, 14. 09% with an average of 43. 28 in the third cluster, 16. 1% with an average of 0. 04 49 were in the fourth cluster and 29. 53% of the people with an average score of 53. 72 were in the fifth cluster, and the most important way to find information was to use electronic information sources. Based on the use of various information services, 46% of people with an average score of 54. 85 in the first cluster, 20. 66% with an average of 49. 38 in the second cluster and 32. 66% with an average of 43. 08 in the third cluster and the most important component of information therapy services has been familiarity with various sources and information services in the specialized field. Conclusion: Neural clustering of information therapy behaviors of the study population and the resulting information transactions, in addition to resulting in awareness of the needs and information resources required by users, as an accessible and low-cost method that improves the quality of information of immunodeficiency specialists leads to the provision of more effective medical services to patients, provides the necessary basis for anticipating information-oriented arrangements and decisions to meet the needs and information carriers requested by users of medical databases and provides managers and staff This field, and as an effective strategy with the highest level of possible standards, leads to the discovery of the intangible pattern of information seeking behaviors of health users, and teaches the audience to use information media intelligently.

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APA: Copy

MOHAMMAD ESMAEIL, S., & KIANMEHR, SH.. (2021). Data Mining as an Intangible Model of Information Therapy and Seeking Behaviors in Immune Deficiency Disease Specialists. JOURNAL OF HEALTHCARE MANAGEMENT (JOURNAL OF HEALTH SYSTEM), 11(4 (SERIAL 38) ), 7-17. SID. https://sid.ir/paper/951043/en

Vancouver: Copy

MOHAMMAD ESMAEIL S., KIANMEHR SH.. Data Mining as an Intangible Model of Information Therapy and Seeking Behaviors in Immune Deficiency Disease Specialists. JOURNAL OF HEALTHCARE MANAGEMENT (JOURNAL OF HEALTH SYSTEM)[Internet]. 2021;11(4 (SERIAL 38) ):7-17. Available from: https://sid.ir/paper/951043/en

IEEE: Copy

S. MOHAMMAD ESMAEIL, and SH. KIANMEHR, “Data Mining as an Intangible Model of Information Therapy and Seeking Behaviors in Immune Deficiency Disease Specialists,” JOURNAL OF HEALTHCARE MANAGEMENT (JOURNAL OF HEALTH SYSTEM), vol. 11, no. 4 (SERIAL 38) , pp. 7–17, 2021, [Online]. Available: https://sid.ir/paper/951043/en

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