CARTOGRAPHY OF BIOSTATISTICS AND MACHINE LEARNING METHODS TO IDENTIFY PROGNOSTIC FACTORS

被引:0
|
作者
Mounier, L. [1 ]
Civet, A. [1 ]
Dupin, J. [1 ]
Pau, D. [1 ]
Esnault, C. [1 ]
机构
[1] Roche, Boulogne 92, France
关键词
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
MSR99
引用
收藏
页码:S369 / S369
页数:1
相关论文
共 50 条
  • [41] Experience of using of machine learning methods to identify the left ventricle region in echocardiographic records
    Bobkova, A. O.
    Zyuzin, V. V.
    Porshnev, S. V.
    Bobkov, V. V.
    2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2016, : 841 - 844
  • [42] MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE METHODS TO IDENTIFY CLINICAL FEATURES PREDICTIVE OF PROGRESSIVE MAFLD
    Salvati, Antonio
    De Rosa, Laura
    Salvati, Nicola
    Faita, Francesco
    Cavallone, Daniela
    Ricco, Gabriele
    Colombatto, Piero
    Coco, Barbara
    Romagnoli, Veronica
    Oliveri, Filippo
    Bonino, Ferruccio
    Brunetto, Maurizia R.
    HEPATOLOGY, 2021, 74 : 963A - 963A
  • [43] Machine learning methods to identify severe postpartum hemmorrhage requiring transfusion prior to delivery
    Ganguli, Reetam
    Wagner, Stephen M.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2024, 230 (01) : S107 - S107
  • [44] Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases
    Qu, Yanji
    Deng, Xinlei
    Lin, Shao
    Han, Fengzhen
    Chang, Howard H.
    Ou, Yanqiu
    Nie, Zhiqiang
    Mai, Jinzhuang
    Wang, Ximeng
    Gao, Xiangmin
    Wu, Yong
    Chen, Jimei
    Zhuang, Jian
    Ryan, Ian
    Liu, Xiaoqing
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 8
  • [45] Machine Learning Techniques to Identify Dementia
    Mathkunti N.M.
    Rangaswamy S.
    SN Computer Science, 2020, 1 (3)
  • [46] Learning Methods and Predictive Modeling to Identify Failure by Human Factors in the Aviation Industry
    Nogueira, Rui P. R.
    Melicio, Rui
    Valerio, Duarte
    Santos, Luis F. F. M.
    APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [47] Machine Learning to Identify Android Malware
    Tam, Geran
    Hunter, Aaron
    2018 9TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2018,
  • [48] Prediction-oriented prognostic biomarker discovery with survival machine learning methods
    Yao, Sijie
    Cao, Biwei
    Li, Tingyi
    Kalos, Denise
    Yuan, Yading
    Wang, Xuefeng
    NAR GENOMICS AND BIOINFORMATICS, 2023, 5 (02)
  • [49] Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
    Gupta, Akash
    Liu, Tieming
    Shepherd, Scott
    Paiva, William
    HEALTHCARE INFORMATICS RESEARCH, 2018, 24 (02) : 139 - 147
  • [50] A comparative machine learning approach to identify landslide triggering factors in northern Chilean Patagonia
    Morales, Bastian
    Lizama, Elizabet
    Somos-Valenzuela, Marcelo A.
    Lillo-Saavedra, Mario
    Chen, Ningsheng
    Fustos, Ivo
    LANDSLIDES, 2021, 18 (08) : 2767 - 2784