4 documents found, page 1 of 1
Big data and machine learning to tackle diabetes management
Pina, Ana F; Meneses, Maria João; Sousa-Lima, Inês; Henriques, Roberto; Raposo, João F; Macedo, Maria PaulaType 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real-world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on similarity measures, poses a promising tool to unravel Diabetes complexity.
Fibrosis nonalcoholic steatohepatitis index validation and applicability consid...
Pina, Ana; Meneses, Maria João; Ribeiro, Rogério César de Almeida; Raposo, João F; Macedo, Maria PaulaNonalcoholic fatty liver disease (NAFLD) diagnosis without using invasive methods is extremely challenging, highlighting the need for simple indexes for this end. Recently, the fibrotic nonalcoholic steatohepatitis index (FNI) was developed and proposed as an affordable non-invasive score calculated with aspartate aminotransferase, high-density lipoprotein cholesterol and haemoglobin A1c. Herein, and given the ...
Inheritable testicular metabolic memory of high-fat diet causes transgeneration...
Crisóstomo, Luís; Jarak, Ivana; Rato, Luís P; Raposo, João F; Batterham, Rachel L; Oliveira, Pedro F.; Alves, Marco GThe consumption of energy-dense diets has contributed to an increase in the prevalence of obesity and its comorbidities worldwide. The adoption of unhealthy feeding habits often occurs at early age, prompting the early onset of metabolic disease with unknown consequences for reproductive function later in life. Recently, evidence has emerged regarding the intergenerational and transgenerational effects of high-...
The impact of diabetes on multiple avoidable admissions: a cross-sectional study
Seringa, Joana; Marques, Ana P; Moita, Bruno; Gaspar, Cátia; Raposo, João F; Santana, RuiBackground Multiple admissions for ambulatory care sensitive conditions (ACSC) are responsible for an important proportion of health care expenditures. Diabetes is one of the conditions consensually classified as an ACSC being considered a major public health concern. The aim of this study was to analyse the impact of diabetes on the occurrence of multiple admissions for ACSC. Methods We analysed inpatient data...