Assessing Cancer Diagnosis from Clinical Genomics Data Using Machine Learning.

被引:0
|
作者
Hess, P. R. [1 ]
Rosenbaum, J. N. [1 ]
机构
[1] Univ Penn, Philadelphia, PA 19104 USA
来源
JOURNAL OF MOLECULAR DIAGNOSTICS | 2018年 / 20卷 / 06期
关键词
D O I
暂无
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
1034
引用
收藏
页码:966 / 967
页数:2
相关论文
共 50 条
  • [31] Enhancing Typhoid Fever Diagnosis Based on Clinical Data Using a Lightweight Machine Learning Metamodel
    Nishat, Fariha Ahmed
    Mridha, M. F.
    Mahmud, Istiak
    Alfarhood, Meshal
    Safran, Mejdl
    Che, Dunren
    DIAGNOSTICS, 2025, 15 (05)
  • [32] Precision diagnosis of myelodysplastic syndromes using integrated genomic and clinical data: A machine learning approach
    Fajar, R.
    Elfiany, S.
    Putri, S.
    CLINICA CHIMICA ACTA, 2024, 558
  • [33] Predicting major bleeding events in anticoagulated cancer patients with venous thromboembolism using real-world data and machine learning.
    Martin, Andres J. Munoz
    Palacios, Maria Luisa
    Souto, Juan Carlos
    Obispo, Berta
    Aparicio, Jorge
    Garcia-Palomo, Andres
    Sanchez, Antonio
    Aguayo, Cristina
    Abad, David Gutierrez
    Vinuela-Beneitez, Maria Carmen
    Benavent, Diego
    Taberna, Miren
    Arumi, Daniel
    Hernandez-Presa, Miguel Angel
    JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (16) : E18744 - E18744
  • [34] Predicting lung cancer survival based on clinical data using machine learning: A review
    Altuhaifa, Fatimah Abdulazim
    Win, Khin Than
    Su, Guoxin
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 165
  • [35] Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data
    Gould, Michael K.
    Huang, Brian Z.
    Tammemagi, Martin C.
    Kinar, Yaron
    Shiff, Ron
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2021, 204 (04) : 445 - 453
  • [36] Identifying pan-cancer transcriptomic determinants of perineural and lymphovascular invasion using machine learning.
    Guo, Jimmy
    Hoffman, Hannah, I
    Hwang, Peter G.
    Kim, Daniel Y.
    Alshalalfa, Mohammed
    Mahal, Brandon Arvin Virgil
    Hong, Theodore S.
    Hwang, William L.
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)
  • [37] Improving and Assessing the Prediction Capability of Machine Learning Algorithms for Breast Cancer Diagnosis
    Tasdemir, Funda Ahmetoglu
    INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 2, 2022, 505 : 182 - 189
  • [38] Methodological considerations in predicting migraine attacks using machine learning.
    Spaink, Hermes A.
    Verhagen, Iris E.
    van Leeuwen, Matthijs
    Terwindt, Gisela M.
    CEPHALALGIA, 2022, 42 (1_SUPPL) : 10 - 10
  • [39] Predicting the risk of VISIT emergency department (ED) in lung cancer patients using machine learning.
    Rodriguez-Brazzarola, Pablo
    Ribelles, Nuria
    Manuel Jerez, Jose
    Trigo, Jose
    Cobo, Manuel
    Ramos Garcia, Inmaculada
    Gutierrez Calderon, M. Vanesa
    Luis Subirats, Jose
    Galeote Miguel, Ana Maria
    Mesa, Hector
    Galvez Carvajal, Laura
    Franco, Leo
    Jimenez Rodriguez, Begona
    Godoy, Ana
    Ruiz, Sofia
    Mesas, Andres
    Iglesias Campos, Marcos
    Lopez, Irene
    Rueda Dominguez, Antonio
    Alba, Emilio
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)
  • [40] Detection of adulteration in milk using infrared spectroscopy and machine learning.
    Asseis Neto, H.
    Tavares, W. L. F.
    Ribeiro, D. C. S. Z.
    Lima, J. S.
    Campos, S. V. A.
    Fonseca, L. M.
    JOURNAL OF DAIRY SCIENCE, 2019, 102 : 38 - 38