Data Driven Prognosis of Cervical Cancer Using Class Balancing and Machine Learning Techniques
INTRODUCTION: With the progression of innovation and its joint effort with health care services, the world has achieved a lot of benefits. AI procedures and machine learning techniques are constantly improving existing statistical methods for better results in the medical field. These improved metho...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2020-11-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.164264 |