
Annals of Medicine, Год журнала: 2024, Номер 57(1)
Опубликована: Дек. 31, 2024
Язык: Английский
Annals of Medicine, Год журнала: 2024, Номер 57(1)
Опубликована: Дек. 31, 2024
Язык: Английский
Journal of Affective Disorders, Год журнала: 2025, Номер unknown
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
2Medicine, Год журнала: 2025, Номер 104(6), С. e41370 - e41370
Опубликована: Фев. 7, 2025
The occurrence and progression of cancer is a significant focus research worldwide, often accompanied by prolonged disease course. Concurrently, researchers have identified that social determinants health (SDOH) (employment status, family income poverty ratio, food security, education level, access to healthcare services, insurance, housing conditions, marital status) are associated with the many chronic diseases. However, there paucity examining influence SDOH on incidence risk survival survivors. aim this study was utilize as primary predictive factor, integrated machine learning models, forecast both prognostic survival. This grounded in data derived from National Health Nutrition Examination Survey dataset spanning 1999 2018. It employs methodologies including adaptive boosting, gradient boosting (GradientBoosting), random forest (RF), extreme light machine, support vector logistic regression develop models for predicting hyperparameters these models—specifically, number estimators (100–200), maximum tree depth (10), rate (0.01–0.2), regularization parameters—were optimized through grid search cross-validation, followed performance evaluation. Shapley Additive exPlanations plots were generated visualize each feature. RF best model (area under curve: 0.92, accuracy: 0.84). Age, non-Hispanic White, sex, status 4 most important characteristics model. gender, employment household income/poverty ratio features developed exhibited strong estimating time, identifying several factors significantly survival, thereby providing new evidence management. Despite promising findings, acknowledges certain limitations, omission survivor potential biases inherent dataset. Future warranted further validate using external datasets.
Язык: Английский
Процитировано
1Cells, Год журнала: 2024, Номер 13(23), С. 1962 - 1962
Опубликована: Ноя. 27, 2024
Cognitive impairment is a major healthcare challenge worldwide, with vascular cognitive (VCI) being its second leading cause after Alzheimer’s disease. VCI heterogeneous group of disorders resulting from various pathologies. Therefore, it particularly difficult to determine underlying and exact molecular basis. Nevertheless, the current understanding pathophysiological processes has changed evolved in last decades. The aim this narrative review summarize state knowledge on pathogenesis analyze potential role gut microbiota process, considering most recent scientific reports accordance these processes. Chronic cerebral hypoperfusion, which results impaired blood supply, i.e., oxygen nutrient deficiency, main mechanism VCI. Furthermore, chronic hypoperfusion triggers cascade changes, starting an energy imbalance, glutamate excitotoxicity, acidotoxicity, oxidative stress. Also, all above provoke activation microglia release pro-inflammatory cytokines that recruit systemic immune cells lead their infiltration into central nervous system, neuroinflammation. Blood–brain barrier dysfunction may occur at stages ultimately increasing permeability allowing potentially toxic substances enter brain parenchyma. Gut metabolites, have been identified numerous inflammatory conditions, also influence
Язык: Английский
Процитировано
3Ecotoxicology and Environmental Safety, Год журнала: 2025, Номер unknown, С. 117802 - 117802
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Annals of Medicine, Год журнала: 2024, Номер 57(1)
Опубликована: Дек. 31, 2024
Язык: Английский
Процитировано
0