Machine Learning Nomogram to Predict Breast Reconstruction Complications with and without Radiation

被引：0
|
作者：
Naoum, G. E. [1 ]
Ho, A. Y. [2 ]
Salama, L. W. [3 ]
Shui, A. M. [2 ]
Taghian, A. G. [4 ,5 ]
机构：
[1] Harvard Med Sch, Dept Radiat Oncol, Massachusetts Gen Hosp, Boston, MA 02115 USA
[2] Massachusetts Gen Hosp, Boston, MA 02114 USA
[3] Charles E Schmidt COM FAU, Boca Raton, FL USA
[4] Massachusetts Gen Hosp, Dept Radiat Oncol, Boston, MA 02114 USA
[5] Harvard Med Sch, Boston, MA 02115 USA
来源：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2020年 / 108卷 / 03期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
2045
引用
收藏
页码：E20 / E20
页数：1
相关论文
共 50 条
  • [21] Noninfectious Wound Complications after Mastectomy with and without Immediate Breast Reconstruction
    Olsen, M. A.
    Ball, K. E.
    Aft, R. L.
    Brandt, K. E.
    Eberlein, T. J.
    Fox, I. K.
    Gillanders, W. E.
    Margenthaler, J. A.
    Myckatyn, T. M.
    Tung, T. H.
    Woo, A. S.
    Fraser, V. J.
    [J]. CANCER RESEARCH, 2010, 70
  • [22] Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
    Hyunkwang Lee
    Chao Huang
    Sehyo Yune
    Shahein H. Tajmir
    Myeongchan Kim
    Synho Do
    [J]. Scientific Reports, 9
  • [23] COMPLICATIONS OF BREAST RECONSTRUCTION
    SCHEFLAN, M
    KALISMAN, M
    [J]. CLINICS IN PLASTIC SURGERY, 1984, 11 (02) : 343 - 350
  • [24] Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
    Lee, Hyunkwang
    Huang, Chao
    Yune, Sehyo
    Tajmir, Shahein H.
    Kim, Myeongchan
    Do, Synho
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [25] Development of a nomogram to predict complications after oesophagectomy for cancer
    Lagarde, S. M.
    Reitsma, J. B.
    Maris, A. K. D.
    Zwinderman, A. H.
    Henegouwen, M. L. van Berge
    Busch, O. R. C.
    van Lanschot, J. J. B.
    [J]. EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY, 2008, 20 (07) : A14 - A15
  • [26] A Machine Learning Approach to Predict Radiation Effects in Microelectronic Components
    Morilla, Fernando
    Vega, Jesus
    Dormido-Canto, Sebastian
    Romero-Maestre, Amor
    de-Martin-Hernandez, Jose
    Morilla, Yolanda
    Martin-Holgado, Pedro
    Dominguez, Manuel
    [J]. SENSORS, 2024, 24 (13)
  • [27] Wound healing complications after autologous breast reconstruction: A model to predict risk
    Nelson, Jonas A.
    Chung, Cyndi U.
    Fischer, John P.
    Kanchwala, Suhail K.
    Serletti, Joseph M.
    Wu, Liza C.
    [J]. JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 2015, 68 (04): : 531 - 539
  • [28] Postmastectomy Radiation Therapy and Breast Reconstruction An Analysis of Complications and Patient Satisfaction
    Lee, Bernard T.
    Adesiyun, Tolulope A.
    Colakoglu, Salih
    Curtis, Michael S.
    Yueh, Janet H.
    Anderson, Katarina E.
    Tobias, Adam M.
    Recht, Abram
    [J]. ANNALS OF PLASTIC SURGERY, 2010, 64 (05) : 679 - 683
  • [29] Development of a Classification Tree to Predict Implant-Based Reconstruction Failure with or without Postmastectomy Radiation Therapy for Breast Cancer
    Chen, Jie Jane
    von Eyben, Rie
    Gutkin, Paulina M.
    Hawley, Erin
    Dirbas, Frederick M.
    Lee, Gordon K.
    Horst, Kathleen C.
    [J]. ANNALS OF SURGICAL ONCOLOGY, 2021, 28 (03) : 1669 - 1679
  • [30] Development of a Classification Tree to Predict Implant-Based Reconstruction Failure with or without Postmastectomy Radiation Therapy for Breast Cancer
    Jie Jane Chen
    Rie von Eyben
    Paulina M. Gutkin
    Erin Hawley
    Frederick M. Dirbas
    Gordon K. Lee
    Kathleen C. Horst
    [J]. Annals of Surgical Oncology, 2021, 28 : 1669 - 1679
12345