Evaluating Bias-Mitigated Predictive Models of Perinatal Mood and Anxiety Disorders
Sign Up to like & getrecommendations! Published in 2024 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2024.38152
Abstract: Key Points Question How accurate and fair are predictive models of postpartum depression, defined as screening above clinical cutoffs on psychometric screening tools, trained on commonly available electronic health records? Findings In this diagnostic study… read more here.
Keywords: mitigated predictive; evaluating bias; predictive models; bias mitigated ... See more keywords
Derivation and Validation of Predictive Models for Early Pediatric Sepsis.
Sign Up to like & getrecommendations! Published in 2025 at "JAMA pediatrics"
DOI: 10.1001/jamapediatrics.2025.3892
Abstract: Importance Sepsis is a leading cause of death in children. Early recognition and treatment improve outcomes, but predictive models have not to date improved early diagnosis. Objective To develop machine learning models to estimate the… read more here.
Keywords: predictive models; validation; shock; sepsis ... See more keywords
Investigation of the combination of intratumoral and peritumoral radiomic signatures for predicting epidermal growth factor receptor mutation in lung adenocarcinoma.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13980
Abstract: Abstract Purpose We investigated optimal peritumoral size and constructed predictive models for epidermal growth factor receptor (EGFR) mutation. Methods A total of 164 patients with lung adenocarcinoma were retrospectively analyzed. Radiomic signatures for the intratumoral… read more here.
Keywords: predictive models; epidermal growth; intratumoral peritumoral; radiomic signatures ... See more keywords
Distributed functional connectivity predicts neuropsychological test performance among older adults
Sign Up to like & getrecommendations! Published in 2021 at "Human Brain Mapping"
DOI: 10.1002/hbm.25436
Abstract: Neuropsychological test is an essential tool in assessing cognitive and functional changes associated with late‐life neurocognitive disorders. Despite the utility of the neuropsychological test, the brain‐wide neural basis of the test performance remains unclear. Using… read more here.
Keywords: neuropsychological test; connectivity; predictive models; test performance ... See more keywords
COMPARATIVE ANALYSIS OF PREDICTIVE MODELS FOR THROMBOEMBOLIC EVENTS IN LYMPHOMA PATIENTS
Sign Up to like & getrecommendations! Published in 2017 at "Hematological Oncology"
DOI: 10.1002/hon.2439_198
Abstract: ing the side effect profile. Methods: Data from 2012 to 2016 were collected retrospectively from pharmacy records for all lymphoma patients treated with thalidomide. The majority of these patients were multiply relapsed. Patients were all… read more here.
Keywords: comparative analysis; patients treated; models thromboembolic; lymphoma patients ... See more keywords
Developing machine learning‐driven acute kidney injury predictive models using non‐standard EMRs in resource‐limited settings
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.70038
Abstract: Acute Kidney Injury (AKI) remains a significant global health challenge, especially in resource‐limited settings. Most existing predictive models rely heavily on serum creatinine (SCr) levels and standardized electronic medical records (EMRs). However, in many low‐resource… read more here.
Keywords: resource; resource limited; predictive models; limited settings ... See more keywords
A systematic review of predictive models for hospital‐acquired pressure injury using machine learning
Sign Up to like & getrecommendations! Published in 2022 at "Nursing Open"
DOI: 10.1002/nop2.1429
Abstract: To summarize the use of machine learning (ML) for hospital‐acquired pressure injury (HAPI) prediction and to systematically assess the performance and construction process of ML models to provide references for establishing high‐quality ML predictive models. read more here.
Keywords: predictive models; pressure injury; machine learning; acquired pressure ... See more keywords
Strength evaluation of granite block samples with different predictive models
Sign Up to like & getrecommendations! Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00872-4
Abstract: Over the last decade, application of soft computing techniques has rapidly grown up in different scientific fields, especially in rock mechanics. One of these cases relates to indirect assessment of uniaxial compressive strength (UCS) of… read more here.
Keywords: strength; granite block; block samples; samples different ... See more keywords
Predictive Models for the Risk of Dyslipidemia in Adolescents with Essential Arterial Hypertension
Sign Up to like & getrecommendations! Published in 2018 at "Bulletin of Experimental Biology and Medicine"
DOI: 10.1007/s10517-018-4336-y
Abstract: Predictive models of comorbidity, dyslipidemic disorders and essential arterial hypertension, in Russian adolescents aged 12 to 18 years (mean 15.48±1.53) were formulated with consideration for biochemical (lipid profiles) and genetic parameters (carrier state of gene… read more here.
Keywords: essential arterial; models risk; arterial hypertension; predictive models ... See more keywords
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering
Sign Up to like & getrecommendations! Published in 2020 at "Empirical Software Engineering"
DOI: 10.1007/s10664-020-09811-0
Abstract: Applications of predictive modelling and data analytics in software engineering have been a long term and an established interest among researchers and practitioners. Such models and analyses can be targeted at: planning, design, implementation, testing,… read more here.
Keywords: data analytics; predictive models; software engineering; analytics software ... See more keywords
Towards scalable and reusable predictive models for cyber twins in manufacturing systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01804-0
Abstract: Smart factories are intelligent, fully-connected and flexible systems that can continuously monitor and analyse data streams from interconnected systems to make decisions and dynamically adapt to new circumstances. The implementation of smart factories represents a… read more here.
Keywords: reusable predictive; models cyber; smart factories; predictive models ... See more keywords