Towards clinical prediction with transparency: An explainable AI approach to survival modelling in residential aged care
Authors:
Open Access
- 15 February 2025
- journal article
- Published by Elsevier in Computer Methods and Programs in Biomedicine
- Vol. 263, 108653
Abstract
No abstract availableKeywords
All Related Versions
This publication has 43 references indexed in Scilit:
- A deep learning approach for overall survival prediction in lung cancer with missing valuesComputer Methods and Programs in Biomedicine, 2024
- How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcareArtificial Intelligence in Medicine, 2023
- Prediction models of all‐cause mortality among older adults in nursing home setting: A systematic review and meta‐analysisHealth Science Reports, 2023
- Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016JAMA Network Open, 2021
- Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With CancerJAMA Oncology, 2020
- Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care InterventionsJAMA Network Open, 2019
- Validation of the interRAI cognitive performance scale against independent clinical diagnosis and the mini-mental state examination in older hospitalized patientsThe Journal of nutrition, health and aging, 2013
- Associations Between End-of-Life Discussions, Patient Mental Health, Medical Care Near Death, and Caregiver Bereavement AdjustmentJAMA, 2008
- Prediction of 6-month Mortality in Nursing Home Residents with Advanced Dementia: Validity of a Risk ScoreJournal of the American Medical Directors Association, 2007
- Relationship Between Cancer Patients' Predictions of Prognosis and Their Treatment PreferencesJAMA, 1998