A Review on Data Mining Techniques For Healthcare Applications
Publish place: 6th International Conference on Science, Engineering, and role of Technology in new Businesses
Publish Year: 1403
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
SETIET06_027
تاریخ نمایه سازی: 2 مرداد 1403
Abstract:
Through the use of patient information, data mining has proven to be a powerful tool in the healthcare sector for tracking illness patterns. While diagnostics are crucial for accurate medical diagnosis and prognosis, the complex nature of healthcare data sets can present challenges. It is important to recognize that there is no one-size-fits-all solution for addressing these complexities. Instead, a hybrid model needs to be developed in order to achieve the highest levels of accuracy in diagnosing medical conditions, especially when dealing with various data features. This long-term goal has the potential to improve predictions and ultimately, lead to better outcomes for patients in the future.
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Authors
Mina Fazlikhani
Department of Computer Engineering, Iran University of Science & Technology, Tehran, Iran
Iman Bagheri
University Lecturer, Department of Electrical and Electronics Engineering, Montazeri Technical and Vocational University