Alle Papers – Machine Learning im Gesundheitswesen

A Comprehensive Review on Healthcare Data Analytics

A novel hybrid machine learning framework for the prediction of diabetes with context-customized regularization and prediction procedures

Patient-specific explanation in models of chronic disease

Is artificial intelligence capable of generating hospital discharge summaries from inpatient records?

Revisiting performance metrics for prediction with rare outcomes

Analysis and evaluation of the Electronic Health Record standard in China: A comparison with the American national standard ASTM E 1384

Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration

Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching

Methodology for Assessing the Usefulness of General Practice Data for Research in One Research Network

Visual Analysis of Cardiac Arrest Prediction Using Machine Learning Algorithms

Artificial Intelligence shaping the future of neurology practice

A Data Analytics Suite for Exploratory Predictive, and Visual Analysis of Type 2 Diabetes

Exploring the potential of OMOP common data model for process mining in healthcare

Cyclic Gate Recurrent Neural Networks for Time Series Data with Missing Values

Prediction of In-Hospital Cardiac Arrest Using Shallow and Deep Learning

ROLEX: A Novel Method for Interpretable Machine Learning Using Robust Local Explanations

Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?

Moving Beyond Medical Statistics: A Systematic Review on Missing Data Handling in Electronic Health Records

Big data and machine learning to tackle diabetes management

Flexible, cluster-based analysis of the electronic medical record of sepsis with composite mixture models

Machine learning and software engineering in health informatics

Artificial Intelligence, Machine Learning, and Medicine: A Little Background Goes a Long Way Toward Understanding

Machine learning model for the prediction of gram-positive and gram-negative bacterial bloodstream infection based on routine laboratory parameters

Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case–control study using electronic primary care records

Clinical Data Analysis: An Opportunity to Compare Machine Learning Methods