Alle Papers – Machine Learning im Gesundheitswesen

Benefits and risks of structuring and/or coding the presenting patient history in the electronic health record: systematic review

Machine learning-based clinical decision support system for early diagnosis from real-time physiological data

Patient-centered yes/no prognosis using learning machines

Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study

An Overview of Methods for Computer-Assisted Medical Decision Making

Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review

Artificial Intelligence and Machine Learning in Patient Blood Management: A Scoping Review

Machine learning for the life-time risk prediction of Alzheimer’s disease: a systematic review

One LLM is not Enough: Harnessing the Power of Ensemble Learning for Medical Question Answering

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation

Detecting very early stages of dementia from normal aging with Machine Learning methods

Medical Informatics Operating Room Vitals and Events Repository (MOVER): a public-access operating room database

Data extraction from electronic health records - existing tools may be unreliable and potentially unsafe.

Modeling Healthcare Quality via Compact Representations of Electronic Health Records

Predicting post‐discharge cancer surgery complications via telemonitoring of patient‐reported outcomes and patient‐generated health data

Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding

Relative explainability and double standards in medical decision-making

Health Data-Driven Machine Learning Algorithms Applied to Risk Indicators Assessment for Chronic Kidney Disease

Federated electronic health records research technology to support clinical trial protocol optimization: Evidence from EHR4CR and the InSite platform

The potential of precision psychiatry: what is in reach?

Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation

Multi-Step Regression Learning for Compositional Distributional\n Semantics

Supervised signal detection for adverse drug reactions in medication dispensing data

Identifying Parkinson's disease and parkinsonism cases using routinely collected healthcare data: A systematic review

Accurate and dynamic predictive model for better prediction in medicine and healthcare