Alle Papers – Machine Learning im Gesundheitswesen

Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text

Pattern Recognition in Medical Decision Support

CARLA: A Python Library to Benchmark Algorithmic Recourse and\n Counterfactual Explanation Algorithms

Development and validation of a set of six adaptable prognosis prediction (SAP) models based on time-series real-world big data analysis for patients with cancer receiving chemotherapy: A multicenter case crossover study

Credit Rating Change Modeling Using News and Financial Ratios

Neuron-level explainable AI for Alzheimer’s Disease assessment from fundus images

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

A Bayesian optimization approach for rapidly mapping residual network function in stroke

CorGAN: Correlation-Capturing Convolutional Generative Adversarial\n Networks for Generating Synthetic Healthcare Records

Stroke mortality prediction based on ensemble learning and the combination of structured and textual data

Generalization Bounds and Representation Learning for Estimation of\n Potential Outcomes and Causal Effects

Using nationwide ‘big data’ from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme

Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice

A healthcare utilization analysis framework for hot spotting and contextual anomaly detection.

An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR)

Association Patterns in Open Data to Explore Ciprofloxacin Adverse Events

Identification of asthma control factor in clinical notes using a hybrid deep learning model

Three-round learning strategy based on 3D deep convolutional GANs for Alzheimer’s disease staging

Multi-information Source HIN for Medical Concept Embedding

ChatGPT Is Moderately Accurate in Providing a General Overview of Orthopaedic Conditions

Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris

Natural language processing

ELECTRONIC DATA CAPTURE (EDC) – A NEW MANTRA FOR CLINICAL TRIALS

Diagnostic of Multiple Cardiac Disorders from 12-lead ECGs Using Graph Convolutional Network Based Multi-label Classification

Diagnosing hospital bacteraemia in the framework of predictive, preventive and personalised medicine using electronic health records and machine learning classifiers