期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2022
卷号：4
期号：3
页码：284-290
DOI：10.35629/5252-04031012
语种：English
出版社：IJAEM JOURNAL
摘要：Around the world, breast disease is the main kind of cancer growth in ladies, representing 25% of all cancer cases. In 2018, it brought about 2.5 million cancer cases and 628,000 deaths. As WHO reported in 2018, breast cancer is the main disease in Ethiopia women. Similarly, according to Ethiopia health institution report, It turns into the most dangerous disease growth rapidly and represents 33% of malignant growth cases in ladies. The right diagnosis helps to find valuable treatment. In Ethiopia, Black Lion Hospital is the only main place for the diagnosis of cancer disease. The Hospital is treating only 1% of the absolute patients and the pathologists analyze biopsy slides physically or manually. This method is tedious, might be inclined to blunder, and time-consuming method. The ML method of examination is more accurate and recovers analysis time. This paper plans to introduce an examination of the great wellknown algorithms to forecast cancer disease. Specifically random classification algorithms, decision classification tree algorithms, and artificial neural network Algorithm. The dataset is taken from the Kaggle, to build our model. The outcomes acquired are competitive and the precise model can be utilized for diagnosis.
