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Background: The morbidity of breast cancer has continuously achieved a global topicality. In particular, during the last decade several ten thousand female adults in Taiwan have been confirmed as breast cancer patients.Objective: To predict the survival rate of breast cancer patients at various (0-IV) stages and provide efficient assessment of proposed radiotherapy for patients.Methods: The prediction algorithm proposed is based on the revised hit and target model and implies the application of Taylor series expansion to the population-based survey dataset. The proposed algorithm features a specific function comprising a single simple exponential term exp⁡(-α⁢t) to imply the fundamental degradation of patient's health multiplied by an additional term P⁢(α⁢t), which specifies the recovery effect of a particular therapy.Results: Its calculated values for breast cancer patients who undergone radiotherapy at different stages 0-IV were {0.0029, 0.0066, 0.0178, 0.0475, 0.1785} yr-1, respectively, while those for corresponding groups of patients with no radiotherapy were assessed as {0.0072, 0.0137, 0.0264, 0.0913, 0.2425} yr-1.Conclusions: The revised algorithm successfully interpreted the breast cancer patients' survival rate at stages 0-IV and evaluated the necessity of radiotherapy for patients at various stages as well. [ABSTRACT FROM AUTHOR]

This research aims to restructure a Simpler Quality of e-Life Indicators (SEQOL) and use this simpler structure to understand whether the usage of computer and Internet will make impacts on quality of life in Taiwan. By using telephone interviews, 3,563 valid respondents, aged 15 and above with Taiwan nationality, were interviewed. After performing exploratory factor analysis, confirmatory factor analysis, reliability and validity assessment, a simpler factor structure of the SEQOL was formed. The new structure contains 24 items categorized into seven domains: Socioeconomic status, Selfesteem, Social competence, Life freedom, Community support, Psychological pressure and physical health. This research also found that gender divide on most domains did not exist. Those who are aged between 35 and 54 exhibit the highest satisfaction. Residents with university degree have the highest satisfaction on their quality of life and the residents of northern Taiwan have the lowest satisfaction. People who having computer at home show higher satisfaction on quality of life in dimensions of overall, Socioeconomic Status, Social Competence, Psychological Pressure, and Physical Health. On overall quality of life, there is no significant difference between Internet user and non user. But, People who having access to Internet show higher satisfaction on quality of life in dimensions of Socioeconomic Status, Social Competence, Psychological Pressure, and Physical Health, oppositely, have lower satisfaction on quality of life in dimensions of Life Freedom and Community Support. [ABSTRACT FROM AUTHOR]