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
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
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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
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
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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
In silico prediction models for thyroid peroxidase inhibitors and their application to synthetic flavors
Sign Up to like & getrecommendations! Published in 2022 at "Food Science and Biotechnology"
DOI: 10.1007/s10068-022-01041-y
Abstract: Systematic toxicity tests are often waived for the synthetic flavors as they are added in a very small amount in foods. However, their safety for some endpoints such as endocrine disruption should be concerned as… read more here.
Keywords: synthetic flavors; models thyroid; prediction models; silico prediction ... See more keywords
External validation of four dementia prediction models for use in the general community-dwelling population: a comparative analysis from the Rotterdam Study
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Epidemiology"
DOI: 10.1007/s10654-018-0403-y
Abstract: To systematically review the literature for dementia prediction models for use in the general population and externally validate their performance in a head-to-head comparison. We selected four prediction models for validation: CAIDE, BDSI, ANU-ADRI and… read more here.
Keywords: risk; dementia; dementia prediction; prediction models ... See more keywords
Performance of Maintainability Index prediction models: a feature selection based study
Sign Up to like & getrecommendations! Published in 2019 at "Evolving Systems"
DOI: 10.1007/s12530-017-9201-0
Abstract: Numerous design metrics have been studied in the literature to assess software performance and future maintainability issues. Maintainability Index (MI) is an indicator of software maintenance efforts, but that can be computed only after the… read more here.
Keywords: performance; prediction models; prediction; design metrics ... See more keywords
Clinicopathologic predictors of early relapse in advanced epithelial ovarian cancer: development of prediction models using nationwide data.
Sign Up to like & getrecommendations! Published in 2021 at "Cancer epidemiology"
DOI: 10.1016/j.canep.2021.102008
Abstract: OBJECTIVE To identify clinicopathologic factors predictive of early relapse (platinum-free interval (PFI) of ≤6 months) in advanced epithelial ovarian cancer (EOC) in first-line treatment, and to develop and internally validate risk prediction models for early… read more here.
Keywords: cancer; model; prediction models; early relapse ... See more keywords