Alle Papers – Machine Learning im Gesundheitswesen

Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data

EMR2vec: Bridging the gap between patient data and clinical trial

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

Automated Problem List Generation from Electronic Medical Records in IBM Watson

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

Early Diagnosis: End-to-End CNN–LSTM Models for Mass Spectrometry Data Classification

Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning

Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples

Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology exam

Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study

Emergent and Predictable Memorization in Large Language Models

Early Prediction of Alzheimer’s Disease Progression Using Variational Autoencoders

A visualization of evolving clinical sentiment using vector representations of clinical notes

Development and validation of various phenotyping algorithms for Diabetes Mellitus using data from electronic health records

An Ensemble Hard Voting Model for Cardiovascular Disease Prediction

Web-Application Development for Tasks of Prediction in Medical Domain

Two Singapore public healthcare AI applications for national screening programs and other examples

Medical Big Data Mining and Processing in e-Healthcare

Machine Learning Risk Prediction for Incident Heart Failure in Patients With Atrial Fibrillation

NeuroHealth guardian: A novel hybrid approach for precision brain stroke prediction and healthcare analytics

Artificial Intelligence Techniques Used In Medical Sciences: A Review

Testing the Generalizability of an Automated Method for Explaining Machine Learning Predictions on Asthma Patients’ Asthma Hospital Visits to an Academic Healthcare System

MFPCDR: A Meta-Learning-Based Model for Federated Personalized Cross-Domain Recommendation

Disease Prediction: Smart Disease Prediction System using Random Forest Algorithm