Gut microbiota-dependent marker TMAO in promoting cardiovascular disease: inflammation mechanism, clinical prognostic, and potential as a therapeutic target
S Yang, X Li, F Yang, R Zhao, X Pan, J Liang… - Frontiers in …, 2019 - frontiersin.org
Cardiovascular disease (CVD) is the leading cause of death worldwide, especially in
developed countries, and atherosclerosis (AS) is the common pathological basis of many …
developed countries, and atherosclerosis (AS) is the common pathological basis of many …
Management of measurable variable cardiovascular disease'risk factors
S Francula-Zaninovic, IA Nola - Current cardiology reviews, 2018 - ingentaconnect.com
Aim: To summarize the main findings on variable cardiovascular risk factors and their
management in everyday practice. Methods: A narrative review of the relevant literature …
management in everyday practice. Methods: A narrative review of the relevant literature …
COVID-19 future forecasting using supervised machine learning models
Machine learning (ML) based forecasting mechanisms have proved their significance to
anticipate in perioperative outcomes to improve the decision making on the future course of …
anticipate in perioperative outcomes to improve the decision making on the future course of …
Calculating the sample size required for developing a clinical prediction model
Clinical prediction models aim to predict outcomes in individuals, to inform diagnosis or
prognosis in healthcare. Hundreds of prediction models are published in the medical …
prognosis in healthcare. Hundreds of prediction models are published in the medical …
Minimum sample size for developing a multivariable prediction model: PART II‐binary and time‐to‐event outcomes
When designing a study to develop a new prediction model with binary or time‐to‐event
outcomes, researchers should ensure their sample size is adequate in terms of the number …
outcomes, researchers should ensure their sample size is adequate in terms of the number …
[PDF][PDF] 2016 European Guidelines on cardiovascular disease prevention in clinical practice
MF Piepoli, AW Hoes, S Agewall… - Polish Heart …, 2016 - journals.viamedica.pl
2.3. 9. Wnioski................................................ 838 2.4. Inne markery ryzyka.......................................
. 840 2.4. 1. Wywiad rodzinny/(epi) genetyka............ 840 2.4. 1.1. Wywiad …
. 840 2.4. 1. Wywiad rodzinny/(epi) genetyka............ 840 2.4. 1.1. Wywiad …
Deep learning approach for diabetes prediction using PIMA Indian dataset
Abstract Purpose International Diabetes Federation (IDF) stated that 382 million people are
living with diabetes worldwide. Over the last few years, the impact of diabetes has been …
living with diabetes worldwide. Over the last few years, the impact of diabetes has been …
Prediction models for cardiovascular disease risk in the general population: systematic review
Objective To provide an overview of prediction models for risk of cardiovascular disease
(CVD) in the general population. Design Systematic review. Data sources Medline and …
(CVD) in the general population. Design Systematic review. Data sources Medline and …
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration
KGM Moons, DG Altman, JB Reitsma… - Annals of internal …, 2015 - acpjournals.org
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …
Prognosis Or Diagnosis) Statement includes a 22-item checklist, which aims to improve the …
Bariatric–metabolic surgery versus conventional medical treatment in obese patients with type 2 diabetes: 5 year follow-up of an open-label, single-centre …
Background Randomised controlled trials have shown that bariatric surgery is more effective
than conventional treatment for the short-term control of type-2 diabetes. However …
than conventional treatment for the short-term control of type-2 diabetes. However …