Alle Papers – Machine Learning im Gesundheitswesen

Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPT

Deep Learning Based Multimodal Progression Modeling for Alzheimer’s Disease

Clinical element models in the SHARPn consortium

Computerized medical records

Transformer-based models for ICD-10 coding of death certificates with Portuguese text

Prediction and risk assessment of sepsis-associated encephalopathy in ICU based on interpretable machine learning

Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data

Using electronic health records to identify candidates for human immunodeficiency virus pre‐exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients

DFML: Dynamic Federated Meta-Learning for Rare Disease Prediction

TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding

Extracting entities with attributes in clinical text via joint deep learning

Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer

The MICROSTROKE expert system for stroke type diagnosis.

GSNs: generative stochastic networks

Deep Learning for Screening COVID-19 using Chest X-Ray Images

The Virtues of Interpretable Medical Artificial Intelligence

Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine

Unveiling the Power of Collective Intelligence: A Voting-based Approach for Dementia Classification

Evaluating the Relevance of Educational Videos Using BKT and Big Data.

Accessing critical care big data: a step by step approach.

<p>External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research</p>

Survivability prediction of colon cancer patients using neural networks

Hybrid model for prediction of heart disease

Decoding dietary myths: The role of ChatGPT in modern nutrition