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Development of prediction model of low anterior resection syndrome for colorectal cancer patients after surgery based on machine‐learning technique

Low anterior resection syndrome (LARS) is a common postoperative complication in patients with colorectal cancer, which seriously affects their postoperative quality of life. At present, the aetiology of LARS is… Click to show full abstract

Low anterior resection syndrome (LARS) is a common postoperative complication in patients with colorectal cancer, which seriously affects their postoperative quality of life. At present, the aetiology of LARS is still unclear, but some risk factors have been studied. Accurate prediction and early management of medical intervention are keys to improving the quality of life of such high‐risk patients.

Keywords: resection syndrome; colorectal cancer; anterior resection; low anterior; cancer

Journal Title: Cancer Medicine
Year Published: 2022

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