Alle Papers – Machine Learning im Gesundheitswesen

Re-evaluating GPT-4’s bar exam performance

Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

Speech-based detection of multi-class Alzheimer’s disease classification using machine learning

Improving health records search using multiple query expansion collections

RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data

Accurate long-range forecasting of COVID-19 mortality in the USA

Implementation of Logistic Regression on Diabetic Dataset using Train-Test-Split, K-Fold and Stratified K-Fold Approach

Exploring Applications of Artificial Intelligence in Critical Care Nursing: A Systematic Review

Sequence Embeddings Help Detect Insurance Fraud

A Novel Patient Recruitment Strategy: Patient Selection Directly from the Community through Linkage to Clinical Data

Using Natural Language Processing to improve EHR Structured Data-based Surgical Site Infection Surveillance.

Correction to: The role of machine learning in clinical research: transforming the future of evidence generation

The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data

TUGDA: task uncertainty guided domain adaptation for robust generalization of cancer drug response prediction from <i>in vitro</i> to <i>in vivo</i> settings

ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics

An Approach to Classify Eligibility Blood Donors Using Decision Tree and Naive Bayes Classifier

Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance

A comparison of performance between a deep learning model with residents for localization and classification of intracranial hemorrhage

Assessing the Accuracy of an Online Chat-Based Artificial Intelligence Model in Providing Recommendations on Hypertension Management in Accordance With the 2017 American College of Cardiology/American Heart Association and 2018 European Society of Cardiology/European Society of Hypertension Guidelines

COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model

Significance of deep learning for Covid-19: state-of-the-art review

Enhancing Delirium Case Definitions in Electronic Health Records Using Clinical Free Text

Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysis

Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages