Case-Based Approach to Detect Cancer in Women with Curative Intent at Beginning

Background: Breast malignant growth is among the most widely recognized ladies’ diseases and a significant reason for disease-delivered ladies’ deaths all over the planet. Mammograms have a high pace of missed growths, or “misleading negatives.” Over 10% of threatening cancers in mammograms cannot...

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Main Authors: Imran Majeed, Ahmad Imran, Mazhar Hussain, Mubahir Ali Syed, Tuba Zainab, Hamza Waheed, Tayyaba Dawood, Iqra Danish, Maryam Zeb, Kashif Hameed, Mehreen Farooq, Fatima Amjad, Razia Faqeer, Maria Abdullah
Format: Article
Language:English
Published: Liaquat National Hospital and Medical College 2024-10-01
Series:Journal of Liaquat National Hospital
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Online Access:https://journals.lnh.edu.pk/jlnh/pdf/aa49ce21-728e-4c91-a90b-80b6ea83b323.pdf
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Summary:Background: Breast malignant growth is among the most widely recognized ladies’ diseases and a significant reason for disease-delivered ladies’ deaths all over the planet. Mammograms have a high pace of missed growths, or “misleading negatives.” Over 10% of threatening cancers in mammograms cannot be identified in ladies more than 50 years. Objective: To Increase the detection rate of mammography for detection of early breast cancer. Methods: The research work was conducted during 2022-2023 at Radiation Oncology, Allama Iqbal Medical College/Jinnah Hospital, Lahore with data of thousands of cases. Case-based reasoning (CBR) is a strategy to apply problem solution data of currently tackled issues by the arrangement of coming issues. Results: CBR characterizes benign cases with precision and recall of equivalent to 0.87 and 0.7 and for malignant cases are 0.9 and precision of 0.75 respectively. Our objective is to improve the detection of cancer with principal component analysis of characteristics, precision enhanced by 20% and recall by 11% for malignant cases and by 15% and 28.5% for benign cases respectively. The outcomes acquired by CBR are compared with multiple Knowledge-based algorithms. Conclusion: The CBR-based approach delivered improved results when contrasted with the wide range of various strategies regarding precision, recall, misleading negative rate, genuine positive rate and F-measure for dangerous cases.
ISSN:2959-1805
2960-2963