Alle Papers – Machine Learning im Gesundheitswesen

Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning

Leveraging Regression Analysis to Predict Overlapping Symptoms of Cardiovascular Diseases

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

An Advance Approach for Diabetes Detection by Implementing Machine Learning Algorithms

A demographically based index of premorbid intelligence for the WAIS--R.

Deep learning opens new horizons in personalized medicine (Review)

The Signature-Based Model for Early Detection of Sepsis from Electronic Health Records in the Intensive Care Unit

On the diagnosis of chronic kidney disease using a machine learning-based interface with explainable artificial intelligence

A Framework for Learning Ante-hoc Explainable Models via Concepts

Can a machine learning model accurately predict patient resource utilization following lumbar spinal fusion?

Interpreting a recurrent neural network’s predictions of ICU mortality risk

Federated Multi-Site Normative Modeling using Hierarchical Bayesian Regression

Methods for the analysis and assessment of clinical databases: The clinician's perspective

Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI

Partial Multiple Imputation With Variational Autoencoders: Tackling Not at Randomness in Healthcare Data

The Role of XAI in Advice-Taking from a Clinical Decision Support System: A Comparative User Study of Feature Contribution-Based and Example-Based Explanations

Artificial intelligence/machine learning for epilepsy and seizure diagnosis

Effect of electronic patient record use on mortality in End Stage Renal Disease, a model chronic disease: retrospective analysis of 9 years of prospectively collected data

Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach

Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review

Exploring the Landscape of Explainable Artificial Intelligence (XAI): A Systematic Review of Techniques and Applications

Diabetes risk prediction model based on community follow-up data using machine learning

Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals

sureLDA: A multidisease automated phenotyping method for the electronic health record

COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence