https://ijecs.in/index.php/ijecs/issue/feedInternational Journal of Engineering and Computer Science2024-03-14T12:54:52+00:00P. Lohareditor@ijecs.inOpen Journal Systems<p style="font-weight: 400;"><strong>International Journal Of Engineering And Computer Science </strong></p> <p style="font-weight: 400;"><strong>(IJECS)</strong> is a leading international journals for publication of new ideas, the state of the art research results and fundamental advances in all aspects of computer science and engineering. IJECS is a scholarly open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications related to Computer Science and Engineering</p> <p style="font-weight: 400;"><span style="font-size: 12pt; font-family: 'Times New Roman', serif;"><strong>IJECS</strong> would take much care in making your article published without much delay with your kind cooperation.</span></p> <p>IJECS hopes that Researchers, Research scholars, Academician, Industrialists, Consultancy etc. would make use of this journal publication for the development of science and technology </p> <p><strong>IJECS</strong> welcomes the submission of documents relating to any branch of the Theory of Computing and Engineering and its applications in business, industry and other topics. The topics covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, industrial engineering, internet computing, networking, operations research scientific computing, software engineering and its applications</p> <p><strong>Editorial Policy </strong></p> <p>Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected. The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal</p> <p> </p>https://ijecs.in/index.php/ijecs/article/view/4794Breast Cancer Detection Using Machine Learning2024-02-26T10:39:46+00:00Satakshi singhSatakshisingh270@gmail.comDr. Kavitha Rkavitha.rajamanii@gmail.com<p>In today's Breast cancer detection becomes more accurate through the use of machine learning algorithms, which examine complex patterns found in patient data. The early diagnosis that these models provide could lead to better patient outcomes and prompt actions. The goal of this study paper is to increase the accuracy and efficiency of diagnostic processes by presenting a thorough investigation of the use of machine learning approaches for breast cancer diagnosis. We investigate how well Support Vector Machines (SVM), Random Forest, and Neural Networks differentiate between benign and malignant cases using a variety of datasets. To improve the discriminatory strength of our models, we also incorporate sophisticated feature extraction methods like the Wavelet Transform and Gabor Filter. The outcomes of the experiment show the promise of various machine learning techniques, with SVM showing a noteworthy accuracy rate. In addition, the research adds to our understanding of decision-making processes by offering insights into how interpretable the models are. Our research highlights the importance of using machine learning to detect breast cancer, providing a viable path forward for improving early diagnosis and treatment planning that follows.</p> <p><em>Keywords—</em>Breast cancer, Machine Learning, Accuracy, Efficiency, Support Vector Machines (SVM), Random Forest, Neural Networks, Feature Extraction, Wavelet Transform, Gabor Filter, Interpretability, Early Diagnosis, Treatment Planning.</p>2024-03-14T00:00:00+00:00Copyright (c) 2024 International Journal of Engineering and Computer Science