Alle Papers – Machine Learning im Gesundheitswesen

Using neural attention networks to detect adverse medical events from electronic health records

Machine learning for risk prediction of acute coronary syndrome.

Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data

Machine Learning for Early Prediction of Sepsis in Intensive Care Unit (ICU) Patients

Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning

Generative Temporal Models with Memory

An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes

Next generation phenotyping using narrative reports in a rare disease clinical data warehouse

The Use of AI in Diagnosing Diseases and Providing Management Plans: A Consultation on Cardiovascular Disorders With ChatGPT

Machine learning model for predicting the length of stay in the intensive care unit for Covid-19 patients in the eastern province of Saudi Arabia

Personal health indexing based on medical examinations: A data mining approach

A comparative study of artificial intelligence and human doctors for the\n purpose of triage and diagnosis

Retrieval Augmented Generation Enabled Generative Pre-Trained Transformer 4 (GPT-4) Performance for Clinical Trial Screening

Five uneasy pieces about pre-test probability

Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis

Prognostication — The lost skill of medicine

Empirical Performance of the Calibrated Self-Controlled Cohort Analysis Within Temporal Pattern Discovery: Lessons for Developing a Risk Identification and Analysis System

A logic model for precision medicine implementation informed by stakeholder views and implementation science

An infrastructure for precision medicine through analysis of big data

A Variational Perspective on Diffusion-Based Generative Models and Score Matching

Increasing knowledge of mental illness through secondary research of electronic health records: opportunities and challenges

A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery

Using probabilistic reasoning

Using the Electronic Medical Record to Identify Community-Acquired Pneumonia: Toward a Replicable Automated Strategy