CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

A Review on Data Mining Techniques For Healthcare Applications

عنوان مقاله: A Review on Data Mining Techniques For Healthcare Applications
شناسه ملی مقاله: SETIET06_027
منتشر شده در ششمین کنفرانس بین المللی علوم، مهندسی و نقش تکنولوژی در کسب و کارهای نوین در سال 1403
مشخصات نویسندگان مقاله:

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

خلاصه 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.

کلمات کلیدی:
Data Mining, Healthcare and Data Mining, Health Informatics, SVM

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/2032163/