Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and …

C Lee, A Light, A Alaa, D Thurtle… - The Lancet Digital …, 2021 - thelancet.com
Background Accurate prognostication is crucial in treatment decisions made for men
diagnosed with non-metastatic prostate cancer. Current models rely on prespecified …

[HTML][HTML] Evaluation of prognostic and predictive models in the oncology clinic

M Craddock, C Crockett, A Mcwilliam, G Price… - Clinical Oncology, 2022 - Elsevier
Predictive and prognostic models hold great potential to support clinical decision making in
oncology and could ultimately facilitate a paradigm shift to a more personalised form of …

Clinical impact of the predict prostate risk communication tool in men newly diagnosed with nonmetastatic prostate cancer: A multicentre randomised controlled trial

D Thurtle, V Jenkins, A Freeman, M Pearson… - European Urology, 2021 - Elsevier
Abstract Background Predict Prostate is a freely available online personalised risk
communication tool for men with nonmetastatic prostate cancer. Its accuracy has been …

Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer

AC Justice, JP Tate, F Howland, JM Gaziano… - European Urology …, 2024 - Elsevier
Background An electronic health record–based tool could improve accuracy and eliminate
bias in provider estimation of the risk of death from other causes among men with …

Assessing the impact of MRI based diagnostics on pre-treatment disease classification and prognostic model performance in men diagnosed with new prostate cancer …

A Lophatananon, MHV Byrne, T Barrett, A Warren… - BMC cancer, 2022 - Springer
Introduction Pre-treatment risk and prognostic groups are the cornerstone for deciding
management in non-metastatic prostate cancer. All however, were developed in the pre-MRI …

Combining molecular subtypes with multivariable clinical models has the potential to improve prediction of treatment outcomes in prostate cancer at diagnosis

L Wardale, R Cardenas, VJ Gnanapragasam… - Current …, 2022 - mdpi.com
Clinical management of prostate cancer is challenging because of its highly variable natural
history and so there is a need for improved predictors of outcome in non-metastatic men at …

PREDICT Prostate, a useful tool in men with low- and intermediate-risk prostate cancer who are hesitant between conservative management and active treatment

G Devos, S Joniau - Bmc Medicine, 2020 - Springer
Background Risk stratification tools are useful to optimize treatment decisions in each
individual patient, reducing both under-and overtreatment. Currently, several such tools are …

[图书][B] Machine Learning Frameworks for Data-Driven Personalized Clinical Decision Support and the Clinical Impact

C Lee - 2021 - search.proquest.com
Disease progression manifests through a broad spectrum of statically and longitudinally
linked clinical features and outcomes. This leads to heterogeneous progression patterns that …

Prostate Cancer-Associated Protein Biomarkers in African Heritage Populations

P Goodall - 2021 - search.proquest.com
Background: African Heritage (AH) men have a higher overall incidence, earlier age of
onset, more clinically advanced and aggressive disease, higher incidence of metastases …

[PDF][PDF] Online nástroje na hodnotenie rizika v onkológii

MUDJ Slopovský, JUDMUDP Palacka… - solen.sk
This review article deals with the issue of online risk assessment tools in oncology. In
Clinical Oncology, risk assessment has become an essential part of day-to-day patient …