Potential Role of Machine Learning in Oncology.
Clicks: 158
ID: 22410
2019
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
60.3
/100
154 views
126 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Machine learning (ML) is the ability of computers to learn from data autonomously. It is a core branch of artificial intelligence (AI), which is defined as the ability of a machine to replicate the intellectual processes of humans independently. The evolution of the microprocessor for home computers resulted in increased computing speed, efficient data collection, storage, and retrieval capacity. Thus AI techniques have evolved, which led to the discovery of artificial neural networks which are computer modeling algorithms mimicking the human brain. AI has developed to an extent that it can exceed the human brain in board games such as chess, television games, image recognition, and spam e-mail filtering. In addition to engineering, arts, and finance, extensive progress has been made to integrate ML in the field of medicine, especially oncology.
| Reference Key |
kumar2019potentialthe
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Kumar, S Satish;Awan, Kamran H;Patil, Shankargouda;Sk, Indu Bharkavi;Raj, A Thirumal; |
| Journal | The journal of contemporary dental practice |
| Year | 2019 |
| DOI |
DOI not found
|
| URL | URL not found |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.