Research graph
References from Tipping the balance: impact of class imbalance correction on the performance of clinical risk prediction models. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning in healthcare
10.2174/1389202922666210705124359 · 2021 · External reference
Big data and machine learning in health care
10.1001/jama.2017.18391 · 2018 · External reference
Machine learning in medicine
10.1056/nejmra1814259 · 2019 · External reference
Shifting machine learning for healthcare from development to deployment and from models to data
10.1038/s41551-022-00898-y · 2022 · External reference
Developing clinical prediction models: a step-by-step guide
10.1136/bmj-2023-078276 · 2024 · External reference
Assessing the performance of prediction models: a framework for traditional and novel measures
10.1097/ede.0b013e3181c30fb2 · 2010 · External reference
Calibration: the Achilles heel of predictive analytics
10.1186/s12916-019-1466-7/tables/1 · 2019 · External reference
Machine learning for predicting rare clinical outcomes—finding needles in a haystack
10.1001/jamanetworkopen.2021.10738 · 2021 · External reference
Predicting maternal health risk using PCA-enhanced XGBoost and SMOTE-ENN for improved healthcare outcomes
10.1016/j.ibmed.2025.100300 · 2025 · External reference
Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms
10.1186/s12874-023-01920-w/figures/3 · 2023 · External reference
10.1002/9781394200467.ch7
10.1002/9781394200467.ch7 · 2025 · External reference
Survival prediction of patients with sepsis from age, sex, and septic episode number alone
10.1038/s41598-020-73558-3 · 2020 · External reference
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model development and validation study
10.1016/j.eclinm.2025.103069 · 2025 · External reference
The harms of class imbalance corrections for machine learning based prediction models: a simulation study
10.1002/sim.10320 · 2025 · External reference
Handling class imbalance in customer churn prediction
10.1016/j.eswa.2008.05.027 · 2009 · External reference
10.1007/978-3-642-17534-3_19
10.1007/978-3-642-17534-3_19 · 2010 · External reference
10.1145/1273496.1273614
10.1145/1273496.1273614 · 2007 · External reference
Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms
10.1007/s13204-021-02063-4 · 2023 · External reference
10.7282/t3-vpfw-sf95
10.7282/t3-vpfw-sf95 · 2001 · External reference
10.1007/978-1-4614-6849-3/cover
10.1007/978-1-4614-6849-3/cover · 2013 · External reference
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
10.1093/jamia/ocac093 · 2022 · External reference
Clinical prediction models: diagnosis versus prognosis
10.1016/j.jclinepi.2021.01.009 · 2021 · External reference
Toward big data analytics: review of predictive models in management of diabetes and its complications
10.1177/1932296815611680 · 2015 · External reference
Artificial intelligence predictive model for hormone therapy use in prostate cancer
10.1056/evidoa2300023 · 2023 · External reference
Risk prediction models for post-operative mortality in patients with cirrhosis
10.1002/hep.31558 · 2021 · External reference
Prediction of exacerbation onset in chronic obstructive pulmonary disease patients
10.3109/03091902.2015.1105317 · 2016 · External reference
Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters
10.1016/j.cmpb.2023.107965 · 2024 · External reference
10.1089/dia.2024.0226
10.1089/dia.2024.0226 · 2024 · External reference
Artificial intelligence to diagnose complications of diabetes
10.1177/19322968241287773 · 2025 · External reference
SMOTE: synthetic minority over-sampling technique
10.1613/jair.953 · 2002 · External reference
Learning from imbalanced data
10.1109/tkde.2008.239 · 2009 · External reference
Receiver operating characteristic curve in diagnostic test assessment
10.1097/jto.0b013e3181ec173d · 2010 · External reference
Interpreting area under the receiver operating characteristic curve
10.1016/s2589-7500(22)00188-1 · 2022 · External reference
10.1007/978-3-642-40994-3_29
10.1007/978-3-642-40994-3_29 · 2013 · External reference
A calibration hierarchy for risk models was defined: from Utopia to empirical data
10.1016/j.jclinepi.2015.12.005 · 2016 · External reference
Discrimination and calibration of clinical prediction models: users’ guides to the medical literature
10.1001/jama.2017.12126 · 2017 · External reference
Use of brier score to assess binary predictions
10.1016/j.jclinepi.2009.11.009 · 2010 · External reference
Unresolved reference
External reference
A comparative analysis of machine learning models for the detection of undiagnosed diabetes patients
10.3390/diabetology5010001 · 2024 · External reference
10.1089/dia.2023.0532
10.1089/dia.2023.0532 · 2024 · External reference
Early detection of elevated ketone bodies in type 1 diabetes using insulin and glucose dynamics across age groups: model development study
10.2196/67867 · 2025 · External reference
Unresolved reference
1988 · External reference
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets
10.3389/frai.2024.1499530 · 2024 · External reference
Unresolved reference
2015 · External reference
Incidence of end-stage renal disease attributed to diabetes among persons with diagnosed diabetes–United States and Puerto Rico, 2000–2014
10.15585/mmwr.mm6643a2 · 2017 · External reference
Unresolved reference
External reference
Semaglutide effects on cardiovascular outcomes in people with overweight or obesity (SELECT) rationale and design
10.1016/j.ahj.2020.07.008 · 2020 · External reference
Semaglutide and cardiovascular outcomes in obesity without diabetes
10.1056/nejmoa2307563 · 2023 · External reference
Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning—a proof-of-concept study
10.1186/s12933-026-03210-3 · 2026 · External reference
Danish study of non-invasive testing in coronary artery disease 3 (Dan-NICAD 3): study design of a controlled study on optimal diagnostic strategy
10.1136/openhrt-2023-002328 · 2023 · External reference
Danish study of non-invasive testing in coronary artery disease 2 (Dan-NICAD 2): study design for a controlled study of diagnostic accuracy
10.1016/j.ahj.2019.03.016 · 2019 · External reference
Danish study of non-invasive testing in coronary artery disease (Dan-NICAD): study protocol for a randomised controlled trial
10.1186/s13063-016-1388-z · 2016 · External reference
Incorporating coronary calcification into pre-test assessment of the likelihood of coronary artery disease
10.1016/j.jacc.2020.09.585 · 2020 · External reference
2024 ESC Guidelines for the management of chronic coronary syndromes
10.1093/eurheartj/ehae177 · 2024 · External reference
Clinical likelihood prediction of hemodynamically obstructive coronary artery disease in patients with stable chest pain
10.1016/j.jcmg.2024.04.015 · 2024 · External reference
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
10.1038/s41591-023-02429-x · 2023 · External reference
Enhancing glucose level prediction of ICU patients through hierarchical modeling of irregular time-series
10.1016/j.csbj.2025.06.039 · 2025 · External reference
The eICU collaborative research database, a freely available multi-center database for critical care research
10.1038/sdata.2018.178 · 2018 · External reference
Development and validation of a machine learning model for classification of next glucose measurement in hospitalized patients
10.1016/j.eclinm.2022.101290 · 2022 · External reference
An interpretable machine learning algorithm enables dynamic 48-hour mortality prediction during an ICU stay
10.1038/s43856-025-01192-z · 2025 · External reference
