Alle Papers – Machine Learning im Gesundheitswesen

Qualitative Probability versus Quantitative Probability in Clinical Diagnosis

Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease

Artificial intelligence as an aid to diagnosing dementia: an overview

An Expanded Role for Neuroimaging in the Evaluation of Memory Impairment

Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach

Development of Various Diabetes Prediction Models Using Machine Learning Techniques

An LSTM-based Deep Learning Approach with Application to Predicting Hospital Emergency Department Admissions

Brain Imaging Generation with Latent Diffusion Models

Prediction of Intensive Care Unit Length of Stay in the MIMIC-IV Dataset

Pharmacists’ perceptions of a machine learning model for the identification of atypical medication orders

Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics

Machine Learning Reveals Time-Varying Microbial Predictors with Complex Effects on Glucose Regulation

Benchmarking the symptom-checking capabilities of ChatGPT for a broad range of diseases

External validation of existing dementia prediction models on observational health data

AGNESS: a generalized network-based expert system shell

Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN

A Big Data Architecture for the Extraction and Analysis of EHR Data

An analysis model of diagnosis and treatment for COVID-19 pandemic based on medical information fusion

Comparative Analysis of Machine Learning Algorithms for Heart Disease Prediction

Overview of the TREC 2017 Precision Medicine Track.

Developing an artificial intelligence–based diagnostic model of headaches from a dataset of clinic patients' records

Editorial from the new Editor-in-Chief: Artificial Intelligence in Medicine and the forthcoming challenges

Artificial Intelligence to Automate Health Economic Modelling: A Case Study to Evaluate the Potential Application of Large Language Models

Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model