Back to search

Article

Machine Learning and Latent Profile Analysis Predict the Health-Related Quality of Life of Bladder Cancer Patients with Abdominal Wall Stomas

2025-09-11

Abstract excerpt

<title>Abstract</title> <p>Abdominal wall stomas in bladder cancer patients can severely impact physical, psychological, and social adjustment. However, individual differences in patients' self-reported outcomes and their influencing factors require further investigation. This multicenter, cross-sectional study aimed to assess the health status of patients with bladder cancer and abdominal wall stomas, identify h...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6e355440-2d7d-5c38-8cf2-5f2ac0d16217
DOI
10.21203/rs.3.rs-7249691/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine Learning and Latent Profile Analysis Predict the Health-Related Quality of Life of Bladder Cancer Patients with Abdominal Wall StomasDOI 10.21203/rs.3.rs-7249691/v1
Heterogeneity and risk prediction study of self-reported outcomes in patients with abdominal wall stoma for bladder cancer based on latent profile analysis and machine learning algorithmsSemantic proximity
Identifying Distinct High Unmet-Need Phenotypes and Their Associated Bladder Cancer Patient Demographic, Clinical, Psychosocial, and Functional Characteristics: Results of Two Clustering Methods.Semantic proximity
Preoperative intrinsic capacity phenotypes forecast adverse physical resilience trajectories following surgery in older bladder cancer patients.Semantic proximity
Construction and Validation of a Machine Learning-Based Prediction Model for Social Isolation in Patients with Colorectal Cancer after Stoma SurgerySemantic proximity
Establishment and Validation of a Risk Prediction Model for Stress Urinary Incontinence in Pelvic Organ Prolapse：A simple screening toolSemantic proximity
Efficacy and safety of radical cystectomy with ileal conduit for muscle-invasive bladder cancer in the elderly: a multicentre retrospective studySemantic proximity
Lifestyle and occupational risk assessment using machine learning methods and development a web-based nomogram for prediction of bladder cancer Short title: Risk assessment and nomogram to predict bladder cancerSemantic proximity
Financial toxicity profiles and influencing factors among ovarian cancer Patients: a latent profile analysisSemantic proximity
Development of machine learning models for the prediction of complications after colorectal and small intestine surgery in psychiatric and non-psychiatric patient collectives (P-Study)Semantic proximity
An Integrated Random Forest– and LASSO-Derived Nomogram for Predicting Postoperative Nosocomial Infections in Colorectal Cancer PatientsSemantic proximity
Association between Renal Injury and Prognosis of Elderly Overactive Bladder Patients: A Study Based on NHANES DatabaseSemantic proximity
Development and validation of a machine learning-based risk model for prolonged length of stay after laparoscopic gastrointestinal surgery in women: A secondary analysis of the FDP-PONV trailSemantic proximity
Select a neighboring publication to make it the new centre.