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Reviewing Breast Cancer Prediction with machine learning in recent studies and public health perspectives
- Author(s):
- Abbas Jedariforoughi (see profile) , Farzaneh Karimpour
- Date:
- 2021
- Item Type:
- Article
- Permanent URL:
- http://dx.doi.org/10.17613/2t5x-8557
- Abstract:
- Breast cancer (BC) is the most commonly found disease among women all over the world. The early diagnosis of breast cancer can potentially reduce the mortality rate and increase the chances of a successful treatment.(1) Breast cancer is most common in middle-aged female population. It is the fourth most dangerous cancer compared to remaining cancers. In recent years, breast cancer patients are significantly increasing, so the early diagnosis of cancer has become a necessary task in the cancer research, to facilitate subsequent clinical management of patients in the public health global management.(15). Breast cancer has become the representative condition for financial toxicity in cancer owing to its annual incidence, public health awareness, and policy relevance.(3)
- Metadata:
- xml
- Published as:
- Online publication Show details
- Pub. URL:
- https://www.doctmedico.com/art4/BreastCancerPredictionwithmachinelearning.html
- Publisher:
- Doctmedico journal ISSN 2794-1671
- Pub. Date:
- 2021
- Website:
- https://www.doctmedico.com/
- Status:
- Published
- Last Updated:
- 2 years ago
- License:
- All Rights Reserved
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Reviewing Breast Cancer Prediction with machine learning in recent studies and public health perspectives