Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data (vol 62, pg 2719, 2017)

被引:3
|
作者
Hornbrook, Mark C. [1 ]
Goshen, Ran [2 ]
Choman, Eran [2 ]
O'Keeffe-Rosetti, Maureen [1 ]
Kinar, Yaron [2 ,3 ]
Liles, Elizabeth G. [1 ]
Rust, Kristal C. [1 ,4 ]
机构
[1] Kaiser Permanente Ctr Hlth Res, 3800 North Interstate Ave, Portland, OR 97227 USA
[2] Medial EarlySign Inc, 11 HaZait St, Kfar Malal, Israel
[3] Medial Res Inc, 11 HaZait St, Kfar Malal, Israel
[4] LL Nursing Adm, Kaiser Sunnyside Med Ctr, 10180 SE Sunnyside Rd, Clackamas, OR 97015 USA
关键词
D O I
10.1007/s10620-017-4859-5
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
The article Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data, written by Mark C. Hornbrook, Ran Goshen, Eran Choman, Maureen O'Keeffe-Rosetti, Yaron Kinar, Elizabeth G. Liles, and Kristal C. Rust, was originally published Online First without open access.
引用
收藏
页码:270 / 270
页数:1
相关论文
共 26 条
  • [1] Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data
    Hornbrook, Mark C.
    Goshen, Ran
    Choman, Eran
    O'Keeffe-Rosetti, Maureen
    Kinar, Yaron
    Liles, Elizabeth G.
    Rust, Kristal C.
    DIGESTIVE DISEASES AND SCIENCES, 2017, 62 (10) : 2719 - 2727
  • [2] Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data
    Mark C. Hornbrook
    Ran Goshen
    Eran Choman
    Maureen O’Keeffe-Rosetti
    Yaron Kinar
    Elizabeth G. Liles
    Kristal C. Rust
    Digestive Diseases and Sciences, 2017, 62 : 2719 - 2727
  • [3] Correction to: Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data
    Mark C. Hornbrook
    Ran Goshen
    Eran Choman
    Maureen O’Keeffe-Rosetti
    Yaron Kinar
    Elizabeth G. Liles
    Kristal C. Rust
    Digestive Diseases and Sciences, 2018, 63 : 270 - 270
  • [4] Efficacy of ColonFlag as a Complete Blood Count-Based Machine Learning Algorithm for Early Detection of Colorectal Cancer: A Systematic Review
    Putri, Raeni Dwi
    Sujana, Syifa Alfiah
    Hanifa, Nadhira Nizza
    Santoso, Tiffanie Almas
    Abdullah, Murdani
    IRANIAN JOURNAL OF MEDICAL SCIENCES, 2024, 49 (10) : 610 - 622
  • [5] Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data
    Schipper, Anoeska
    Rutten, Matthieu
    van Gammeren, Adriaan
    Harteveld, Cornelis L.
    Urrechaga, Eloisa
    Weerkamp, Floor
    den Besten, Gijs
    Krabbe, Johannes
    Slomp, Jennichjen
    Schoonen, Lise
    Broeren, Maarten
    van Wijnen, Merel
    Huijskens, Mirelle J. A. J.
    Koopmann, Tamara
    van Ginneken, Bram
    Kusters, Ron
    Kurstjens, Steef
    CLINICAL CHEMISTRY, 2024, 70 (08) : 1064 - 1075
  • [6] Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data
    Li, Hui
    Lin, Jianmei
    Xiao, Yanhong
    Zheng, Wenwen
    Zhao, Lu
    Yang, Xiangling
    Zhong, Minsheng
    Liu, Huanliang
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2021, 20
  • [7] Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission (vol 70, pg 506, 2024)
    Steinbach, Daniel
    Ahrens, Paul C.
    Schmidt, Maria
    Federbusch, Martin
    Heuft, Lara
    Luebbert, Christoph
    Nauck, Matthias
    Gruendling, Matthias
    Isermann, Berend
    Gibb, Sebastian
    Kaiser, Thorsten
    CLINICAL CHEMISTRY, 2024, 70 (08) : 1088 - 1088
  • [8] Machine-learning-based predictive classifier for bone marrow failure syndrome using complete blood count data
    Seo, Jeongmin
    Lee, Chansub
    Koh, Youngil
    Sun, Choong Hyun
    Lee, Jong-Mi
    An, Hong Yul
    Kim, Myungshin
    ISCIENCE, 2024, 27 (11)
  • [9] TubIAgnosis: A machine learning-based web application for active tuberculosis diagnosis using complete blood count data
    Ghermi, Mohamed
    Messedi, Meriam
    Adida, Chahira
    Belarbi, Kada
    Djazouli, Mohamed El Amine
    Berrazeg, Zahia Ibtissem
    Sellami, Maryam Kallel
    Ghezini, Younes
    Louati, Mahdi
    DIGITAL HEALTH, 2024, 10
  • [10] Blood-based detection of early-stage colorectal cancer using multiomics and machine learning
    Putcha, Girish
    Liu, Tzu-Yu
    Ariazi, Eric
    Bertin, Marvin
    Drake, Adam
    Dzamba, Michael
    Hogan, Greg
    Kothen-Hill, Steven
    Liao, Jeffrey
    Li, Kang
    Mahajan, Shivani
    Palaniappan, Krishnan
    Sansanwal, Poonam
    St John, John
    Ulz, Peter
    Wan, Nathan
    Warsinske, Hayley
    Weinberg, David
    Yang, Rui
    Lin, Jimmy
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (04)