Alle Papers – Machine Learning im Gesundheitswesen

Predicting High-Cost Patients at Point of Admission Using Network Science

A Novel Architecture for Diabetes Patients’ Prediction Using K-Means Clustering and SVM

Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning–Based Method to Predict Crucial Complication Phenotypes

Effectiveness of Anonymization Methods in Preserving Patients' Privacy: A Systematic Literature Review

Predictive Modeling of Longitudinal Data for Alzheimer’s Disease Diagnosis Using RNNs

Applications of Deep Learning in Healthcare and Biomedicine

Reasoning requirements for diagnosis of heart disease

Artificial Intelligence in Medicine

Detection of advanced brain aging in schizophrenia and its structural underpinning by using normative brain age metrics

AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research

Data Mining Models to Predict Patient’s Readmission in Intensive Care Units

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond

A scoping review of studies using observational data to optimise dynamic treatment regimens

Automatic symptom name normalization in clinical records of traditional Chinese medicine

Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem

Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to alzheimer’s disease: a systematic review

Toward Smart Treatment Management for Personalized Healthcare

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment

Advancing early diagnosis of Alzheimer’s disease with next-generation deep learning methods

Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease

Primary Stage of Diabetes Prediction using Machine Learning Approaches

Une brève introduction à l’intelligence artificielle

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization

A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform, MERLIN, to Facilitate Healthcare AI Research