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: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Liaquat National Hospital and Medical College
2024-10-01
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| Series: | Journal of Liaquat National Hospital |
| Subjects: | |
| 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. |
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| ISSN: | 2959-1805 2960-2963 |