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Showing 3592-3612 of 4,989 articles

Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use.

OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical predi...

Jan 2025 39545362

Prediction of Cisplatin-Induced Acute Kidney Injury Using an Interpretable Machine Learning Model and Electronic Medical Record Information.

Predicting cisplatin-induced acute kidney injury (Cis-AKI) before its onset is important. We aimed t...

Jan 2025 39760531

Artificial Intelligence to Predict Chronic Kidney Disease Progression to Kidney Failure: A Narrative Review.

Chronic kidney disease is characterised by the progressive loss of kidney function. However, predict...

Jan 2025 39763163

Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey.

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiov...

Jan 2025 39805606

StackAHTPs: An explainable antihypertensive peptides identifier based on heterogeneous features and stacked learning approach.

Hypertension, often known as high blood pressure, is a major concern to millions of individuals glob...

Jan 2025 39905861

Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish.

INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...

Jan 2025 40338843

Formalization of Biological Circuit Block Diagrams for formally analyzing Biomedical Control Systems in pHRI Applications

The control of Biomedical Systems in Physical Human-Robot Interaction (pHRI) plays a pivotal role ...

Dec 2024 http://arxiv.org/abs/2501.00541v1

[Identification of kidney stone types by deep learning integrated with radiomics features].

Currently, the types of kidney stones before surgery are mainly identified by human beings, which di...

Dec 2024 40000211

A CNN Approach to Polygenic Risk Prediction of Kidney Stone Formation

Kidney stones are a common and debilitating health issue, and genetic factors play a crucial role ...

Dec 2024 http://arxiv.org/abs/2412.17559v1

MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection

Problem: Pancreas radiological imaging is challenging due to the small size, blurred boundaries, a...

Dec 2024 http://arxiv.org/abs/2412.15925v1

Survival analysis of clear cell renal cell carcinoma based on radiomics and deep learning features from CT images.

PURPOSE: To create a nomogram for accurate prognosis of patients with clear cell renal cell carcinom...

Dec 2024 39705434

Predicting Survival of Hemodialysis Patients using Federated Learning

Hemodialysis patients who are on donor lists for kidney transplant may get misidentified, delaying...

Dec 2024 http://arxiv.org/abs/2412.10919v1

A Novel Ensemble-Based Deep Learning Model with Explainable AI for Accurate Kidney Disease Diagnosis

Chronic Kidney Disease (CKD) represents a significant global health challenge, characterized by th...

Dec 2024 http://arxiv.org/abs/2412.09472v1

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

Patient life circumstances, including social determinants of health (SDOH), shape both health outc...

Dec 2024 http://arxiv.org/abs/2412.07924v2

A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction

Purpose: A reliable cancer prognosis model for clear cell renal cell carcinoma (ccRCC) can enhance...

Dec 2024 http://arxiv.org/abs/2412.07136v1

Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell tra...

Dec 2024 39368807

Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This rea...

Dec 2024 http://arxiv.org/abs/2412.03737v1

Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching

Topological correctness is critical for segmentation of tubular structures. Existing topological s...

Dec 2024 http://arxiv.org/abs/2412.02076v2

Predictive Capacities of a Machine Learning Decision Tree Model Created to Analyse Feasibility of an Open or Robotic Kidney Transplant.

BACKGROUND: Machine learning has emerged as a potent tool in healthcare. A decision tree model was b...

Dec 2024 39716399

Live-Donor Kidney Transplant Outcome Prediction (L-TOP) using artificial intelligence.

BACKGROUND: Outcome prediction for live-donor kidney transplantation improves clinical and patient d...

Nov 2024 38684469

Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Nov 2024 39809211