Breast cancer is the most frequently diagnosed cancer in women, with more than 2.1 million\nnew diagnoses worldwide every year. Personalised treatment is critical to optimising outcomes for\npatients with breast cancer. A major advance in medical practice is the incorporation of Clinical\nDecision Support Systems (CDSSs) to assist and support healthcare staff in clinical decision-making,\nthus improving the quality of decisions and overall patient care whilst minimising costs. The usage\nand availability of CDSSs in breast cancer care in healthcare settings is increasing. However,\nthere may be differences in how particular CDSSs are developed, the information they include,\nthe decisions they recommend, and how they are used in practice. This systematic review examines\nvarious CDSSs to determine their availability, intended use, medical characteristics, and expected\noutputs concerning breast cancer therapeutic decisions, an area that is known to have varying\ndegrees of subjectivity in clinical practice. Utilising the methodology of Kitchenham and Charter,\na systematic search of the literature was performed in Springer, Science Direct, Google Scholar,\nPubMed, ACM, IEEE, and Scopus. An overview of CDSS which supports decision-making in\nbreast cancer treatment is provided along with a critical appraisal of their benefits, limitations,\nand opportunities for improvement.
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