Alle Papers – Machine Learning im Gesundheitswesen

A new nearest neighbor-based framework for diabetes detection

A Multi-layer Approach for Data Cleaning in the Healthcare Domain

Explaining Deep Learning Models for Credit Scoring with SHAP: A Case Study Using Open Banking Data

Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans

Implementation of workflow engine technology to deliver basic clinical decision support functionality

Artificial Intelligence in the Healthcare System: An Overview

The Impact of Big Data on Chronic Disease Management

Preventing potential drug-drug interactions through alerting decision support systems: A clinical context based methodology

Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease

Predictive Inference Is Free with the Jackknife+-after-Bootstrap

Online symptom checker diagnostic and triage accuracy for HIV and hepatitis C

Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions

Anomaly Detection with Conditioned Denoising Diffusion Models

DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness

Prediction using patient comparison vs. modeling: A case study for mortality prediction

Large Language Models in Medical Chatbots: Opportunities, Challenges, and the Need to Address AI Risks

Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data

Using data mining to segment healthcare markets from patients' preference perspectives

Explanation Perspectives from the Cognitive Sciences---A Survey

Deep Feature Selection and Causal Analysis of Alzheimer’s Disease

Dual-Stream Multiple Instance Learning for Depression Detection With Facial Expression Videos

Machine Learning in Healthcare Analytics: A State-of-the-Art Review

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis

Toward predicting medical conditions using k-nearest neighbors

Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis