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Author:

Wang Lingxiao (Wang Lingxiao.)

Indexed by:

CPCI-S EI Scopus

Abstract:

*With the development of society, data science such as machine learning, data visualization and other issues have expanded to various scientific fields and affect our lives from various aspects. In this article, we will analyze the data of breast cancer characteristics from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia, categorize the characteristics of breast cancer by using data visualization method, and learn and predict the whole data by random forest model to obtain the most influential factors for the development and recurrence of breast cancer. It will have a positive impact on the prevention of breast cancer in the future. Also the reliability of the algorithm need to prove.

Keyword:

Random forest Machine learning breast cancer data science

Author Community:

  • [ 1 ] [Wang Lingxiao]Beijing Univ Technol, BDIC, Beijing 100124, Peoples R China

Reprint Author's Address:

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Source :

PROCEEDINGS OF 2021 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT MEDICINE AND IMAGE PROCESSING (IMIP 2021)

Year: 2021

Page: 122-126

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

Affiliated Colleges:

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