The effective model of linear regressions for colorectal cancer stages in general hospital: a case study in Kuala Lumpur
Regression analysis has become popularity among several sources of researcher and standard tolls in analyzing data. This structure was represented two commonly statistical models such as multiple linear regression and extended fuzzy correlation and regression analysis (Ni, 2005). Colorectal cancer w...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , , |
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| வடிவமà¯: | கடà¯à®Ÿà¯à®°à¯ˆ |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
AENSI Publisher
2015
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://ajbasweb.com/old/ajbas/2015/IPN%20Kuching%20Special/7-10.pdf http://ajbasweb.com/old/ajbas/2015/IPN%20Kuching%20Special/7-10.pdf |
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| தொகà¯à®ªà¯à®ªà¯: | Regression analysis has become popularity among several sources of researcher and standard tolls in analyzing data. This structure was represented two commonly statistical models such as multiple linear regression and extended fuzzy correlation and regression analysis (Ni, 2005). Colorectal cancer was applied and case in Malaysia. The quality of life in CRC patients to detect the early CRC stage is still very poor, mainly ad-hoc and not implemented as a national wide programme. This study aims to determine the best model to measuring the mortality rate of patients by CRC stages at hospital using mean square error compared. Secondary data of 180 patients have colorectal cancer and received treatment in hospital recorded by nurses and doctors. Based on the results of regression, extended fuzzy correlation and regression analysis (Ni, 2005) is the best model to measuring the mortality rate of patients who have colorectal cancer after received treatment in hospital. |
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