Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis

Prediction of type 2 diabetes mellitus using hematological factors based on machine learning approaches: a cohort study analysis

Abstract Type 2 Diabetes Mellitus (T2DM) is a significant public health problem globally. The diagnosis and management of diabetes are critical to reduce the diabetes complications including cardiovascular disease and cancer. This study was designed to assess the potential association between T2DM a...

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Bibliographic Details
Main Authors: Amin Mansoori, Toktam Sahranavard, Zeinab Sadat Hosseini, Sara Saffar Soflaei, Negar Emrani, Eisa Nazar, Melika Gharizadeh, Zahra Khorasanchi, Sohrab Effati, Mark Ghamsary, Gordon Ferns, Habibollah Esmaily, Majid Ghayour Mobarhan
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-27340-2

Internet

https://doi.org/10.1038/s41598-022-27340-2

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