[HTML][HTML] Methodological standards for the development and evaluation of clinical prediction rules: a review of the literature
LE Cowley, DM Farewell, S Maguire… - Diagnostic and prognostic …, 2019 - Springer
Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future
outcome for individual patients are abundant in the medical literature; however, systematic …
outcome for individual patients are abundant in the medical literature; however, systematic …
Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review
Objective To provide focused evaluation of predictive modeling of electronic medical record
(EMR) data to predict 30 day hospital readmission. Design Systematic review. Data source …
(EMR) data to predict 30 day hospital readmission. Design Systematic review. Data source …
[HTML][HTML] Disease risk scores for skin cancers
We trained and validated risk prediction models for the three major types of skin cancer—
basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and melanoma—on a cross …
basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and melanoma—on a cross …
[HTML][HTML] Evaluating the impact of prediction models: lessons learned, challenges, and recommendations
TH Kappen, WA van Klei… - Diagnostic …, 2018 - diagnprognres.biomedcentral.com
An important aim of clinical prediction models is to positively impact clinical decision making
and subsequent patient outcomes. The impact on clinical decision making and patient …
and subsequent patient outcomes. The impact on clinical decision making and patient …
Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications
Importance Postoperative complications can significantly impact perioperative care
management and planning. Objectives To assess machine learning (ML) models for …
management and planning. Objectives To assess machine learning (ML) models for …
[HTML][HTML] Framework for improving outcome prediction for acute to chronic low back pain transitions
Clinical practice guidelines and the Federal Pain Research Strategy (United States) have
recently highlighted research priorities to lessen the public health impact of low back pain …
recently highlighted research priorities to lessen the public health impact of low back pain …
Considerations for analysis of time‐to‐event outcomes measured with error: Bias and correction with SIMEX
For time‐to‐event outcomes, a rich literature exists on the bias introduced by covariate
measurement error in regression models, such as the Cox model, and methods of analysis …
measurement error in regression models, such as the Cox model, and methods of analysis …
A real-time risk-prediction model for pediatric venous thromboembolic events
BACKGROUND: Hospital-associated venous thromboembolism (HA-VTE) is an increasing
cause of morbidity in pediatric populations, yet identification of high-risk patients remains …
cause of morbidity in pediatric populations, yet identification of high-risk patients remains …
Leveraging electronic health records for predictive modeling of post-surgical complications
GB Weller, J Lovely, DW Larson… - … methods in medical …, 2018 - journals.sagepub.com
Hospital-specific electronic health record systems are used to inform clinical practice about
best practices and quality improvements. Many surgical centers have developed …
best practices and quality improvements. Many surgical centers have developed …
[HTML][HTML] Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis
B Van Grootven, P Jepma, C Rijpkema, L Verweij… - BMJ open, 2021 - bmjopen.bmj.com
Objective To describe the discrimination and calibration of clinical prediction models, identify
characteristics that contribute to better predictions and investigate predictors that are …
characteristics that contribute to better predictions and investigate predictors that are …