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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

Food as Prevention – Rising to Nutritional Challenges
Mothers and their children gather at a community nutrition centre in the little village of Rantolava, Madagascar, to learn more about a healthy diet. Credit: Alain Rakotondravony/IPSBy Gabriele RiccardiNAPLES, Italy, Nov 25 2020 (IPS) The risks factors contributing to the dramatic rise in non-communicable diseases (NCDs) in recent decades have been known for a long time but the Covid-19 pandemic has brutally exposed our collective failure to deal with them. Reporting on the findings of the latest Global Burden of Disease Study, The Lancet warns of a “perfect storm” created by the interaction of the highly infectious C...
Source: IPS Inter Press Service - Health - November 25, 2020 Category: International Medicine & Public Health Authors: Gabriele Riccardi Tags: Development & Aid Economy & Trade Featured Food Security and Nutrition Food Sustainability Global Headlines Health Humanitarian Emergencies Inequity Poverty & SDGs TerraViva United Nations Barilla Center for Food and Nutrition Foun Source Type: news

Osteoporosis and Sarcopenia Increase Frailty Syndrome in the Elderly
Conclusions World population is aging and the increase in life expectancy is often unhealthy. In particular, musculoskeletal aging, which leads to sarcopenia and osteoporosis, has several causes such as changes in body composition, inflammation, and hormonal imbalance. Sarcopenia, osteoporosis, and more frequently, sarcopenic obesity are commonly associated with aging and frequently closely linked each other, often leading to the development of a frailty syndrome. Frailty syndrome favors an increased risk of loss function in daily activities, for cardiovascular diseases, cancers, falls, and mortality. As the number of eld...
Source: Frontiers in Endocrinology - April 23, 2019 Category: Endocrinology Source Type: research