A Review on Data Mining Techniques For Healthcare Applications

سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 169

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شناسه ملی سند علمی:

SETIET06_027

تاریخ نمایه سازی: 2 مرداد 1403

چکیده مقاله:

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.

کلیدواژه ها:

Data Mining ، Healthcare and Data Mining ، Health Informatics ، SVM

نویسندگان

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