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
Dynamic Prognostic Models for Colorectal Cancer With Liver Metastases
Sign Up to like & getrecommendations! Published in 2025 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2025.29093
Abstract: Key Points Question Can longitudinal laboratory markers improve prediction models for progression-free and overall survival in patients with colorectal liver metastases (CRLM) after resection? Findings In this prognostic study of 976 patients with CRLM, the… read more here.
Keywords: colorectal cancer; liver metastases; dynamic prognostic; prediction models ... See more keywords
Review of the state of science and evaluation of currently available in silico prediction models for reproductive and developmental toxicity: A case study on pesticides
Sign Up to like & getrecommendations! Published in 2022 at "Birth Defects Research"
DOI: 10.1002/bdr2.2062
Abstract: In silico methods for toxicity prediction have increased significantly in recent years due to the 3Rs principle. This also applies to predicting reproductive toxicology, which is one of the most critical factors in pesticide approval.… read more here.
Keywords: silico; toxicity; prediction models; prediction ... See more keywords
Prediction models to evaluate baking quality instruments for commercial wheat flour
Sign Up to like & getrecommendations! Published in 2024 at "Cereal Chemistry"
DOI: 10.1002/cche.10772
Abstract: Loaf volume is the main indicator of wheat flour quality, but test baking has major limitations. Here, prediction models were used to evaluate which methodology best captured the baking quality in Swedish commercial wheat flour… read more here.
Keywords: quality; loaf volume; wheat; prediction models ... See more keywords
Review of aging mechanisms, mechanical properties, and prediction models of fiber‐reinforced composites in natural environments
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DOI: 10.1002/pc.28799
Abstract: Fiber‐reinforced composites are widely used in civil engineering, aerospace, automotive, and medical sectors. However, these composites undergo aging due to factors such as temperature, humidity, load, and so on, during their usage. As a result,… read more here.
Keywords: climate; prediction models; natural aging; reinforced composites ... 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
Clinical prediction models to predict the risk of multiple binary outcomes: Methodological issues
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in Medicine"
DOI: 10.1002/sim.8874
Abstract: We read with interest the paper by Martin et al published in Statistics in Medicine.1 The aim of study was to compare four models including: probabilistic classifier chain, multinomial logistic regression, multivariate logistic regression, and… read more here.
Keywords: risk; multiple binary; binary outcomes; prediction models ... See more keywords
An extensive evaluation of ensemble techniques for software change prediction
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2156
Abstract: Predicting the areas of the source code having a higher likelihood to change in the future represents an important activity to allow developers to plan preventive maintenance operations. For this reason, several change prediction models… read more here.
Keywords: ensemble techniques; change prediction; change; prediction models ... See more keywords
Genome and Environment Based Prediction Models and Methods of Complex Traits Incorporating Genotype × Environment Interaction.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2205-6_9
Abstract: Genomic-enabled prediction models are of paramount importance for the successful implementation of genomic selection (GS) based on breeding values. As opposed to animal breeding, plant breeding includes extensive multienvironment and multiyear field trial data. Hence,… read more here.
Keywords: prediction models; prediction; genotype environment; environment ... See more keywords
Development of prediction models for successful external cephalic version and delivery outcome
Sign Up to like & getrecommendations! Published in 2021 at "Archives of Gynecology and Obstetrics"
DOI: 10.1007/s00404-021-06115-6
Abstract: To develop prediction models for the chance of successful external cephalic version (ECV) and delivery outcome. This is a single-center retrospective study including 350 pregnant women with a singleton non-cephalic pregnancy at or after 36… read more here.
Keywords: delivery outcome; delivery; model; prediction models ... See more keywords
Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease
Sign Up to like & getrecommendations! Published in 2024 at "European Spine Journal"
DOI: 10.1007/s00586-024-08395-3
Abstract: Clinical prediction models (CPM), such as the SCOAP-CERTAIN tool, can be utilized to enhance decision-making for lumbar spinal fusion surgery by providing quantitative estimates of outcomes, aiding surgeons in assessing potential benefits and risks for… read more here.
Keywords: spinal fusion; prediction models; prediction; external validation ... See more keywords