Diagnostic and Prognostic Research
ESCI-ISI
2397-7523
Cơ quản chủ quản: N/A
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Các bài báo tiêu biểu
State of the art in selection of variables and functional forms in multivariable analysis—outstanding issues
Tập 4 Số 1 - 2020
AbstractBackgroundHow 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 suggested many years ago. More recently, many alternative
approache...
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
Tập 5 Số 1 - 2021
AbstractClinical 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 worsens over time as
natural chan...
Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
- 2020
Abstract 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 the Emergency
Department. The index test is a machine-learning algorithm that aims to stratify
the a...
Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods
Tập 4 Số 1 - 2020
Abstract 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 provide an
opportunity to enhance their performance. However, the number and complexity of
methodologic...
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 ...
Development of a clinical prediction rule for sepsis in primary care: protocol for the TeSD-IT study
Tập 4 - Trang 1-9 - 2020
Early recognition and treatment of sepsis is crucial to prevent detrimental
outcomes. General practitioners (GPs) are often the first healthcare providers
to encounter seriously ill patients. The aim of this study is to assess the
value of clinical information and additional tests to develop a clinical
prediction rule to support early diagnosis and management of sepsis by GPs. We
will perform a di...