Tokyo, May 26 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000061679) titled 'Machine learning-based prediction of lymph node metastases for individualized surgical decision-making in older patients with gastric cancer: A retrospective simulation study compliant with TRIPOD+AI' on May 25.
Study Type:
Observational
Primary Sponsor:
Institute - Kameda Medical Center
Condition:
Condition - Gastric cancer
Classification by malignancy - Malignancy
Genomic information - NO
Objective:
Narrative objectives1 - (1) to develop and temporally validate an LNM prediction model based on preoperative variables in patients aged >=70 years using six machine learning algorithms
(2) to quantify the oncological...