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Here, we have developed the LEukemia Artificial intelligence Program (LEAP) with the extreme gradient boosting decision tree method for the optimal treatment recommendation of tyrosine kinase inhibitors (TKIs) in patients with chronic myeloid leukemia in chronic phase (CML\u2010CP). A cohort of CML\u2010CP patients was randomly divided into training\/validation (N = 504) and test cohorts (N = 126). The training\/validation cohort was used for 3\u2010fold cross validation to develop the LEAP CML\u2010CP model using 101 variables at diagnosis. The test cohort was then applied to the LEAP CML\u2010CP model and an optimum TKI treatment was suggested for each patient. The area under the curve in the test cohort was 0.81899.Backward multivariate analysis identified age at diagnosis, the degree of comorbidities, and TKI recommended therapy by the LEAP CML\u2010CP model as independent prognostic factors for overall survival. The bootstrapping method internally validated the association of the LEAP CML\u2010CP recommendation with overall survival as an independent prognostic for overall survival. Selecting treatment according to the LEAP CML\u2010CP personalized recommendations, in this model, is associated with better survival probability compared to treatment with a LEAP CML\u2010CP non\u2010recommended therapy. This approach may pave a way of new era of personalized treatment recommendations for patients with cancer.<\/jats:p>","DOI":"10.1002\/ajh.26047","type":"journal-article","created":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T18:34:40Z","timestamp":1605206080000},"page":"241-250","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["The LEukemia Artificial Intelligence Program (LEAP) in chronic myeloid leukemia in chronic phase: A model to improve patient outcomes"],"prefix":"10.1002","volume":"96","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9140-0610","authenticated-orcid":false,"given":"Koji","family":"Sasaki","sequence":"first","affiliation":[{"name":"Department of Leukemia The University of Texas MD Anderson Cancer Center  Houston Texas USA"},{"name":"Department of Hematology, Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University  Tokyo 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