Application of machine learning for classifying anemia type to improve healthcare quality

被引:0
|
作者
Yang, Wan-Hua [1 ,2 ,3 ]
Cheng, Chuen-Sheng [1 ]
机构
[1] Industrial Engineering and Management Department, Yuan Ze University, Taiwan
[2] Pathology Laboratory, Hsinchu Branch, Taipei Veterans General Hospital, Taiwan
[3] Department of Medical Laboratory Science and Biotechnology, Yuanpei University of Medical Technology, Taiwan
来源
Journal of Quality | 2021年 / 28卷 / 04期
关键词
Histology - Blood - Classification (of information) - Hospitals - Decision trees - Diagnosis - Tissue - Statistical tests;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:283 / 295
相关论文
共 50 条
  • [41] Classifying protein kinase conformations with machine learning
    Reveguk, Ivan
    Simonson, Thomas
    PROTEIN SCIENCE, 2024, 33 (04)
  • [42] Classifying Drought in Ethiopia Using Machine Learning
    Richman, Michael B.
    Leslie, Lance M.
    Segele, Zewdu T.
    COMPLEX ADAPTIVE SYSTEMS, 2016, 95 : 229 - 236
  • [43] Classifying smoking urges via machine learning
    Dumortier, Antoine
    Beckjord, Ellen
    Shiffman, Saul
    Sejdic, Ervin
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, 137 : 203 - 213
  • [44] Machine Learning for Classifying Images with Motion Blur
    Garcia, Rogelio E.
    Alvarez, Jacqueline
    Marcia, Roummel F.
    2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 490 - 494
  • [45] Classifying Social Media Users with Machine Learning
    Li G.
    Zhou H.
    Mao J.
    Chen S.
    Data Analysis and Knowledge Discovery, 2019, 3 (08) : 1 - 9
  • [46] MACHINE LEARNING APPROACH FOR CLASSIFYING HISTONE MODIFICATIONS
    Gorthi, Aparna
    Jain, Ravi
    Dimitrova, Nevenka
    2009 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2009), 2009, : 33 - 36
  • [47] Classifying Legal Norms with Active Machine Learning
    Waltl, Bernhard
    Muhr, Johannes
    Glaser, Ingo
    Bonczek, Georg
    Scepankova, Elena
    Matthes, Florian
    LEGAL KNOWLEDGE AND INFORMATION SYSTEMS, 2017, 302 : 11 - 20
  • [48] Using machine learning to improve the discriminative power of the FERD screener in classifying patients with schizophrenia and healthy adults
    Lee, Shih-Chieh
    Chen, Kuan-Wei
    Liu, Chen-Chung
    Kuo, Chian-Jue
    Hsueh, I-Ping
    Hsieh, Ching-Lin
    JOURNAL OF AFFECTIVE DISORDERS, 2021, 292 : 102 - 107
  • [49] Machine Learning based Rate Adaptation in DASH to Improve Quality of Experience
    Bhat, Asim Rafiq
    Bhadu, Sudesh Kumar
    2017 IEEE INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES AND MANAGEMENT FOR COMPUTING, COMMUNICATION, CONTROLS, ENERGY AND MATERIALS (ICSTM), 2017, : 82 - 89
  • [50] The Radiotherapy Learning Healthcare System - Working Together to Improve the Quality of Radiotherapy Nationally
    Burnett, A.
    Johnson, P.
    Locke, I
    Illidge, T.
    CLINICAL ONCOLOGY, 2022, 34 (06) : 411 - 414