지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.6
- 수록면
- 171 - 171 (1page)
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Background/Aims
Breast cancer occupies the number one place for the growth of cancer in women. Breast cancer is a disease where there is excessive cell growth of breast cell tissue. However, some sources say the cause can only be marked in women who have risk factors such as having a history of tumors, menstruation too young or menopause above the age of 50 years, giving birth to the first child over the age of 35 years. Therefore, everyone must know the symptoms of breast cancer so that treatment can be done earlier based on that researcher interested in conducting research on the application of data mining algorithms in the diagnosis of breast cancer using the method of SVM (Support Vector Machine) and random forest, then each - the results of the classification method will be compared and conclude how accurate the SVM and Random Forest are in terms of accuracy.
Methods
The sample in the sample in this study is secondary data obtained from the calculation of digital computing from data on breast cancer patients at UCI Wiscoxsin University. The data can consist of Dependent and Independent Variables. For the dependent variable (Y) there are 2 categories namely Malignant and Benign where Maligant is Diagnosed with Malignant Tumors (cancer) and Benign is Diagnosed with Tumors. The^_@span style=color:#999999 ^_# ... ^_@/span^_#^_@a href=javascript:; onclick=onClickReadNode('NODE10593479');fn_statistics('Z354','null','null'); style='color:#999999;font-size:14px;text-decoration:underline;' ^_#전체 초록 보기^_@/a^_#
Breast cancer occupies the number one place for the growth of cancer in women. Breast cancer is a disease where there is excessive cell growth of breast cell tissue. However, some sources say the cause can only be marked in women who have risk factors such as having a history of tumors, menstruation too young or menopause above the age of 50 years, giving birth to the first child over the age of 35 years. Therefore, everyone must know the symptoms of breast cancer so that treatment can be done earlier based on that researcher interested in conducting research on the application of data mining algorithms in the diagnosis of breast cancer using the method of SVM (Support Vector Machine) and random forest, then each - the results of the classification method will be compared and conclude how accurate the SVM and Random Forest are in terms of accuracy.
Methods
The sample in the sample in this study is secondary data obtained from the calculation of digital computing from data on breast cancer patients at UCI Wiscoxsin University. The data can consist of Dependent and Independent Variables. For the dependent variable (Y) there are 2 categories namely Malignant and Benign where Maligant is Diagnosed with Malignant Tumors (cancer) and Benign is Diagnosed with Tumors. The^_@span style=color:#999999 ^_# ... ^_@/span^_#^_@a href=javascript:; onclick=onClickReadNode('NODE10593479');fn_statistics('Z354','null','null'); style='color:#999999;font-size:14px;text-decoration:underline;' ^_#전체 초록 보기^_@/a^_#
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