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Specialty: Cancer & Oncology
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Total 2 results found since Jan 2013.

Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
In conclusion, the results we have obtained show that artificial intelligence is a powerful and feasible tool to use for this type of study. However, we suggest that more studies be conducted to verify and elaborate upon our findings.PMID:36846513 | PMC:PMC9949947 | DOI:10.1155/2023/8898958
Source: Cancer Control - February 27, 2023 Category: Cancer & Oncology Authors: Sergio A Zaizar-Fregoso Agustin Lara-Esqueda Carlos M Hern ández-Suarez Josuel Delgado-Enciso Arturo Garcia-Nevares Luis M Canseco-Avila Jose Guzman-Esquivel Iram P Rodriguez-Sanchez Margarita L Martinez-Fierro Gabriel Ceja-Espiritu Hector Ochoa-D íaz-L Source Type: research

Breast Cancer Screening Participation of Women with Chronic Diseases in Korea: Analysis of the 2012 Korean National Health and Nutrition Examination Survey
In conclusion, low participation rate in breast cancer screening in women with some chronic diseases was identified. The results from this study may provide an important contribution for helping to maintain and increase participation in cancer screening of patients with chronic diseases. PMID: 30678433 [PubMed - in process]
Source: Asian Pacific Journal of Cancer Prevention - January 28, 2019 Category: Cancer & Oncology Tags: Asian Pac J Cancer Prev Source Type: research