Table 10.

Analysis of BC diagnosis based on Hybrid approaches in Hybrid using information from reviewed articles.

References	Approach	Targets for ML	Targets for BC	Advantages of the ML approach	Advantages of the BC approach	Disadvantages	Evaluation criteria
							AUC	ACC	SPE	SEN	Recall	F-Score
[123]	SVM	•Developing a novel method for classifying breast biopsy images	•Increasing the classification accuracy of stained breast biopsy images	•Efforts to reduce costs •Achieving greater efficiency	•Optimizing the performance of the proposed approach on histological images •Enhance the accuracy and speed of image classification	•Inability to apply the proposed approach to different datasets •Lack of comparison of results obtained with more powerful techniques	✘	✔	✘	✔	✘	✘
[124]	•SVM •LR •KNN	•Present an analysis of several algorithms' performance	•Achieving a pattern for increases classification accuracy	•Introducing an algorithm that is more accurate	•Providing a satisfactory classification based on the quantitative features	•A lack of use of CV techniques, such as k-fold cross-validation, to verify the results •Failure to utilize bias parameters	✘	✔	✔	✔	✘	✘
[125]	•SVM	•Presenting a mechanism to determine the factors influencing patient survival accurately	•Achieving prognostic indicators affecting patients' survival	•Accurately identifying influencing factors and parameters	•Enhancing a patient's chances of survival •Improving the effectiveness of selected factors	•A lack of utilizing powerful techniques for predicting outcomes •A lack of accuracy in clinical parameter selection	✔	✔	✔	✔	✘	✘
[126]	•LR •RF	•Presenting a comparative approach to the performance of two algorithms	•Achieving an accurate prognosis immediately after surgery without the need for further interaction with the physician	•Introducing an algorithm with higher accuracy •Assist in increasing the accuracy of the results obtained	•Predicting the level of anxiety, type of surgery, and level of acute pain during movement •Achieving an accurate prognosis for postoperative neuropathic pain	•Inaccurate selection of the parameters that are most influential •A lack of certainty regarding the results	✘	✘	✔	✔	✘	✘
[127]	•LR •SVM •NB •RF	•Presenting a comparative approach to the performance of several algorithms	•Increasing the possibility of longer survival in patients with metastatic disease	•Providing an accurate prediction of patient survival	•Early diagnosis of metastasis among patients •Enhancing patient survival by providing a detailed pre-awareness process	•Failure to use large and real data sets •Lack of use of existing powerful forecasting techniques to increase confidence in the results obtained	✘	✔	✔	✔	✘	✘