Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression
Sign Up to like & getrecommendations! Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.3909
Abstract: Key Points Question How does the performance of different methods to reduce bias for clinical prediction algorithms compare when measured by disparate impact and equal opportunity difference? Findings In a cohort study of 314 903 White… read more here.
Keywords: clinical prediction; reduce bias; methods reduce; prediction models ... See more keywords
Clinical prediction of magnetic resonance image compilation in patients with mild cognitive impairment
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Developmental Neuroscience"
DOI: 10.1002/jdn.10232
Abstract: This study aims to investigate the clinical prediction of magnetic resonance image compilation (MAGiC) and magnetic resonance image (MRI) in early diagnosis of the patients with mild cognitive impairment. This study is a retrospective randomized… read more here.
Keywords: clinical prediction; group; magnetic resonance; resonance image ... See more keywords
Using marginal structural models to adjust for treatment drop‐in when developing clinical prediction models
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in Medicine"
DOI: 10.1002/sim.7913
Abstract: Clinical prediction models (CPMs) can inform decision making about treatment initiation, which requires predicted risks assuming no treatment is given. However, this is challenging since CPMs are usually derived using data sets where patients received… read more here.
Keywords: clinical prediction; treatment; treatment drop; prediction models ... See more keywords
Composite Outcomes in Clinical Prediction Modeling: Are We Trying to Predict Apples and Oranges?
Sign Up to like & getrecommendations! Published in 2022 at "Annals of emergency medicine"
DOI: 10.1016/j.annemergmed.2022.01.046
Abstract: Composite outcomes are widely used in clinical research. Existing literature has considered the pros and cons of composite outcomes in clinical trials, but their extensive use in clinical prediction has received much less attention. Clinical… read more here.
Keywords: clinical prediction; composite outcomes; outcomes clinical; prediction modeling ... See more keywords
A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models
Sign Up to like & getrecommendations! Published in 2022 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2022.102256
Abstract: OBJECTIVE Clinical prediction models (CPMs) constructed based on artificial intelligence have been proven to have positive impacts on clinical activities. However, the deterioration of CPM performance over time has rarely been studied. This paper proposes… read more here.
Keywords: drift; clinical prediction; method; performance ... See more keywords
Clinical prediction rules: A systematic review of healthcare provider opinions and preferences
Sign Up to like & getrecommendations! Published in 2019 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2018.12.003
Abstract: OBJECTIVE The act of predicting clinical endpoints and patient trajectories based on past and current states is on the precipice of a technological revolution. This systematic review summarises the available evidence describing healthcare provider opinions… read more here.
Keywords: provider opinions; healthcare provider; prediction rules; clinical prediction ... See more keywords
Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Epidemiology"
DOI: 10.1016/j.jclinepi.2020.12.005
Abstract: Objectives When developing a clinical prediction model, penalization techniques are recommended to address overfitting, as they shrink predictor effect estimates toward the null and reduce mean-square prediction error in new individuals. However, shrinkage and penalty… read more here.
Keywords: clinical prediction; penalization; model; sample size ... See more keywords
Non-invasive assessment of non-alcoholic fatty liver disease: Clinical prediction rules and blood-based biomarkers.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of hepatology"
DOI: 10.1016/j.jhep.2017.11.013
Abstract: The correct identification of patients at increased risk of non-alcoholic steatohepatitis (NASH) and advanced fibrosis is a critical step in the assessment of non-alcoholic fatty liver disease (NAFLD). Since liver biopsy is invasive, expensive and… read more here.
Keywords: fibrosis; non alcoholic; rules blood; clinical prediction ... See more keywords
A clinical prediction rule for uncomplicated ureteral stone: The STONE score; a prospective observational validation cohort study
Sign Up to like & getrecommendations! Published in 2019 at "Turkish Journal of Emergency Medicine"
DOI: 10.1016/j.tjem.2019.04.001
Abstract: Introduction Renal colic is one of the most common complaints in patients admitted to Emergency Department (ED). Computed Tomography (CT) is the reference standard for the diagnosis of any stones in the kidneys or ureters.… read more here.
Keywords: stone; stone score; clinical prediction; study ... See more keywords
Clinical prediction models in psychiatry: a systematic review of two decades of progress and challenges
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Psychiatry"
DOI: 10.1038/s41380-022-01528-4
Abstract: Recent years have seen the rapid proliferation of clinical prediction models aiming to support risk stratification and individualized care within psychiatry. Despite growing interest, attempts to synthesize current evidence in the nascent field of precision… read more here.
Keywords: clinical prediction; risk; prediction models; prediction ... See more keywords
Validation of a clinical prediction rule for ambulation outcome after non-traumatic spinal cord injury
Sign Up to like & getrecommendations! Published in 2019 at "Spinal Cord"
DOI: 10.1038/s41393-019-0386-x
Abstract: Study design Prospective cohort study. Objectives To validate a Clinical Prediction Rule (CPR) for ambulation in a non-traumatic spinal cord injury population (NTSCI). Setting Tertiary spinal rehabilitation inpatient service, Melbourne, Australia. Methods Adults with confirmed… read more here.
Keywords: non traumatic; prediction rule; cord; clinical prediction ... See more keywords