[HTML][HTML] Radiomics in medical imaging—“how-to” guide and critical reflection
JE Van Timmeren, D Cester, S Tanadini-Lang… - Insights into …, 2020 - Springer
Radiomics is a quantitative approach to medical imaging, which aims at enhancing the
existing data available to clinicians by means of advanced mathematical analysis. Through …
existing data available to clinicians by means of advanced mathematical analysis. Through …
External validation of prognostic models: what, why, how, when and where?
Prognostic models that aim to improve the prediction of clinical events, individualized
treatment and decision-making are increasingly being developed and published. However …
treatment and decision-making are increasingly being developed and published. However …
[HTML][HTML] Calibration: the Achilles heel of predictive analytics
Background The assessment of calibration performance of risk prediction models based on
regression or more flexible machine learning algorithms receives little attention. Main text …
regression or more flexible machine learning algorithms receives little attention. Main text …
[HTML][HTML] Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome
Following acute infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-
2) a significant proportion of individuals develop prolonged symptoms, a serious condition …
2) a significant proportion of individuals develop prolonged symptoms, a serious condition …
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 …
Association between periodontal diseases and cardiovascular diseases, diabetes and respiratory diseases: Consensus report of the Joint Workshop by the European …
Aim To explore the implications for dentists and family doctors of the association between
periodontal and systemic diseases and the role of dentists and family doctors in managing …
periodontal and systemic diseases and the role of dentists and family doctors in managing …
DNA methylation-based predictors of health: applications and statistical considerations
DNA methylation data have become a valuable source of information for biomarker
development, because, unlike static genetic risk estimates, DNA methylation varies …
development, because, unlike static genetic risk estimates, DNA methylation varies …
PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration
KGM Moons, RF Wolff, RD Riley, PF Whiting… - Annals of internal …, 2019 - acpjournals.org
Prediction models in health care use predictors to estimate for an individual the probability
that a condition or disease is already present (diagnostic model) or will occur in the future …
that a condition or disease is already present (diagnostic model) or will occur in the future …
Minimum sample size for external validation of a clinical prediction model with a binary outcome
In prediction model research, external validation is needed to examine an existing model's
performance using data independent to that for model development. Current external …
performance using data independent to that for model development. Current external …
Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology
Objective To provide an overview and critical appraisal of early warning scores for adult
hospital patients. Design Systematic review. Data sources Medline, CINAHL, PsycInfo, and …
hospital patients. Design Systematic review. Data sources Medline, CINAHL, PsycInfo, and …