default author photo

Sicong Ma

University of Melbourne - School of Computing and Information Systems

Australia

  • University of Melbourne - School of Computing and Information Systems

SCHOLARLY PAPERS

2

DOWNLOADS

164

TOTAL CITATIONS

0

Scholarly Papers (2)

Actions:
Email selected abstracts
1.

Construction of an Assistant Forecast System for Breast Cancer Oncotype Dx Recurrence Risk by Machine Learning

Number of pages: 29 Posted: 31 Jul 2020
Xiangyi Kong, Lin Zhang, Quanda Zhang, Jiun Choong, Sicong Ma, Xuzhen Qin, Zhihong Qi, Ran Cheng, Yi Fang, Zongyuan Ge, Yu Jiang and Jing Wang
Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Monash University, Federation University Australia - Federation Business School, Monash University - eResearch Centre, University of Melbourne - School of Computing and Information Systems, Chinese Academy of Medical Sciences and Peking Union Medical College-Department of Clinical Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College-Department of Clinical Laboratory, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Monash University, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - School of Population Medicine and Public Health and Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology
Downloads 118 (604,538)

Abstract:

Loading...

Breast Cancer; Oncotype DX Recurrence Score; Clinicopathological Information; SEER Database; Deep Learning

2.

Machine Learning Assisted Oncotype Dx Recurrence Risk Classification Forecast System for Breast Cancer Based on 111,635 Patients Covering 11 Years

Number of pages: 26 Posted: 19 Jul 2021
Xiangyi Kong, Lin Zhang, Quanda Zhang, Jiun Choong, Sicong Ma, Xuzhen Qin, Zhihong Qi, Ran Cheng, Peng Gao, Yulu Liu, Yi Fang, Zongyuan Ge, Yu Jiang and Jing Wang
Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Monash University, Federation University Australia - Federation Business School, Monash University - eResearch Centre, University of Melbourne - School of Computing and Information Systems, Chinese Academy of Medical Sciences and Peking Union Medical College-Department of Clinical Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College-Department of Clinical Laboratory, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Fintech Lab, Department of Computer Science, The University of Hong Kong, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology, Monash University - eResearch Centre, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - School of Public Health and Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Breast Surgical Oncology
Downloads 46 (1,109,210)

Abstract:

Loading...