ASCVD risk scores versus a novel cancer-specific Machine Learning-based calculator among patients with breast, colorectal, lung or prostate cancer

被引:0
|
作者
Guha, A. [1 ]
Stabellini, N. [1 ]
Shanahan, J. [2 ]
Montero, A. [2 ]
Blumenthal, R. [3 ]
Aggarwal, C. [4 ]
Swami, U. [5 ]
Virani, S. [6 ]
Noronha, V [7 ]
Agarwal, N. [5 ]
Dent, S. [8 ]
Weintraub, N. L. [1 ]
机构
[1] Med Coll Georgia, Augusta, GA USA
[2] Univ Hosp Cleveland, Med Ctr, Cleveland, OH USA
[3] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
[4] Univ Penn, Philadelphia, PA USA
[5] Univ Utah, Salt Lake City, UT USA
[6] Aga Khan Univ, Karachi, Pakistan
[7] Tata Mem Hosp, Mumbai, India
[8] Duke Univ, Durham, NC USA
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Does radiotherapy increase the risk of colorectal cancer among prostate cancer patients? A large population-based study
    Ho, Chung-Han
    Cheng, Kuo-Chen
    Chao, Chien-Ming
    Lai, Chih-Cheng
    Chiang, Shyh-Ren
    Chen, Chin-Ming
    Liao, Kuang-Ming
    Wang, Jhi-Joung
    Lee, Po-Huang
    Hung, Chao-Ming
    Tai, Chi-Ming
    Chiu, Chong-Chi
    JOURNAL OF CANCER, 2020, 11 (21): : 6204 - 6212
  • [42] Breast cancer-specific survival outcomes among patients based on 21-gene recurrence score.
    Swenson, Wade T.
    Mallick, Shantanu
    JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)
  • [43] Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors
    Zhen, Meixin
    Chen, Haibing
    Lu, Qing
    Li, Hui
    Yan, Huang
    Wang, Ling
    CANCER MANAGEMENT AND RESEARCH, 2024, 16 : 1253 - 1265
  • [44] A Novel Risk Score (P-score) Based on a Three-Gene Signature, for Estimating the Risk of Prostate Cancer-Specific Mortality
    Soderdahl, Fabian
    Xu, Li-Di
    Bring, Johan
    Haggman, Michael
    RESEARCH AND REPORTS IN UROLOGY, 2022, 14 : 203 - 217
  • [45] Risk factors for suicide mortality and cancer-specific mortality among patients with gastric adenocarcinoma: A SEER based study
    Elshanbary, Alaa Ahmed
    Zaazouee, Mohamed Sayed
    Hasan, Sara Mohamed
    Abdel-Aziz, Walid
    PSYCHO-ONCOLOGY, 2021, 30 (12) : 2067 - 2076
  • [46] Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
    Chang Ming
    Valeria Viassolo
    Nicole Probst-Hensch
    Ivo D. Dinov
    Pierre O. Chappuis
    Maria C. Katapodi
    British Journal of Cancer, 2020, 123 : 860 - 867
  • [47] Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations
    Ming, Chang
    Viassolo, Valeria
    Probst-Hensch, Nicole
    Dinov, Ivo D.
    Chappuis, Pierre O.
    Katapodi, Maria C.
    BRITISH JOURNAL OF CANCER, 2020, 123 (05) : 860 - 867
  • [48] An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review
    Gao, Ying
    Li, Shu
    Jin, Yujing
    Zhou, Lengxiao
    Sun, Shaomei
    Xu, Xiaoqian
    Li, Shuqian
    Yang, Hongxi
    Zhang, Qing
    Wang, Yaogang
    JMIR PUBLIC HEALTH AND SURVEILLANCE, 2022, 8 (12):
  • [49] Symptom burden and change among adolescent/young adult (AYA) patients with breast, lung, colorectal, or prostate cancer.
    Chang, V. T.
    Zhao, F.
    Wagner, L. I.
    Sanford, S. D.
    Salsman, J.
    Fisch, M.
    JOURNAL OF CLINICAL ONCOLOGY, 2011, 29 (15)
  • [50] Pre- and Post-diagnosis Diabetes as a Risk Factor for All-Cause and Cancer-Specific Mortality in Breast, Prostate, and Colorectal Cancer Survivors: a Prospective Cohort Study
    Tao, Huan
    O'Neil, Adrienne
    Choi, Yunseon
    Wang, Wei
    Wang, Junfeng
    Wang, Yafeng
    Jia, Yongqian
    Chen, Xiong
    FRONTIERS IN ENDOCRINOLOGY, 2020, 11