Automatic methods for managements of cancer, medicine, and behavior

  • Chung Ming Lo
  • , Usman Iqbal
  • , Yu Chuan Jack Li*
  • *Corresponding author for this work

Research output: Contribution to journalEditorialResearch

Abstract

People have to make numerous decisions day by day. After a period of time, we try our hands at various experiments and observe the end results. Sometimes, the outcome is unpredictable and at other times it is not.. At times it is hard to appreciate the complexity of the decision making process because of numerous factors that are not considered but should be. In this situation, a quantification process would be helpful to make factors to be evaluative. Based on the number, more levels can be calculated to provide a precise estimation. The numeric factors can be further utilized in a statistical analysis. Significant test results tell us which factor is relevant to the issue concerned and artificial intelligence classifier combines various features together to provide a prediction model. The three articles introduced in this editorial demonstrate the roles of automatic methods for management of cancer, medicine, and human behavior. An automatic procedure not only saves time and cost, it also generates more accurate estimates or predictions. Including image analysis, glucose control, and health care of elder are the applications of such techniques.
Original languageEnglish
Pages (from-to)A1-A1
Number of pages1
JournalComputer Methods and Programs in Biomedicine
Volume146
DOIs
Publication statusPublished - Jul 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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