An efficient disease prediction framework based on optimized machine learning models for a smart healthcare application

Author:

Jiao Na

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference58 articles.

1. Apostolopoulos I, Mpesiana T (2020) Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med 43(2):635–640

2. Peter TJ, Somasundaram K (2012) An empirical study on prediction of heart disease using classification data mining techniques. In: IEEE-International Conference on Advances in Engineering, Science and Management (ICAESM-2012), pp 514–518

3. Li L, Qin L, Xu Z, Yin Y, Wang X (2020) Artificial intelligence distinguishes COVID-19 from community acquired pneumonia onchest CT. Radiology 10(2):1–14

4. Felman A (2020) Everything you need to know about heart disease. Heart disease: Types, Causes, And Treatments [Internet] (2020) [cited 2020 Dec 31]. Available from: https://www.medicalnewstoday.com/articles/237191

5. Lalmuanawma S, Hussain J, Chhakchhuak L (2020) Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: a review. Chaos Solitons Fractals 139(5):205–221

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