Diagnostic and Prognostic Research
ESCI-ISI
2397-7523
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Các bài báo tiêu biểu
State of the art in selection of variables and functional forms in multivariable analysis—outstanding issuesAbstract Background How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc ‘traditional’ approaches to variable selection have been in use for at least 50 years. Similarly, methods for determining functional forms for continuous variables were first...
Tập 4 Số 1 - 2020
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?Abstract Clinical prediction models (CPMs) have become fundamental for risk stratification across healthcare. The CPM pipeline (development, validation, deployment, and impact assessment) is commonly viewed as a one-time activity, with model updating rarely considered and done in a somewhat ad hoc manner. This fails to address the fact that the performance of a CPM ... ...
Tập 5 Số 1 - 2021
Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic reviewAbstract
Background
The primary objective of this review is to assess the accuracy of machine learning methods in their application of triaging the acuity of patients presenting in the Emergency Care System (ECS). The population are patients that have contacted the ambulance service or turned up at ... ...
- 2020
Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methodsAbstract
Background
Clinical prediction models (CPMs) predict the risk of health outcomes for individual patients. The majority of existing CPMs only harness cross-sectional patient information. Incorporating repeated measurements, such as those stored in electronic health records, into CPMs may pro... ...
Tập 4 Số 1 - 2020
A generic nomogram for multinomial prediction models: theory and guidance for construction
Tập 1 - Trang 1-7 - 2017
The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous modeling of multiple outcome categories using a multinomial model often better resembles the clinical setting, where a physician typically must distinguish between ......
Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis
Tập 3 Số 1 - 2019
A prediction model for the decline in renal function in people with type 2 diabetes mellitus: study protocolAbstract
Background
Chronic kidney disease (CKD) is a well-established complication in people with diabetes mellitus. Roughly one quarter of prevalent patients with diabetes exhibit a CKD stage of 3 or higher and the individual course of progression is highly variable. Therefore, there is a clear ne... ...
Tập 5 Số 1 - 2021