Alle Papers – Machine Learning im Gesundheitswesen

A six-month longitudinal evaluation significantly improves accuracy of predicting incipient Alzheimer's disease in mild cognitive impairment

Development of a Natural Language Processing Algorithm to Identify and Evaluate Transgender Patients in Electronic Health Record System

The doctor will see you now: How machine learning and artificial intelligence can extend our understanding and treatment of asthma

The association between four scoring systems and 30-day mortality among intensive care patients with sepsis: a cohort study

Deep learning algorithm to evaluate cervical spondylotic myelopathy using lateral cervical spine radiograph

Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models

INTRACRANIAL HEMORRHAGE DETECTION IN CT SCAN USING DEEP LEARNING

Artificial Intelligence in Medicine

The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records

Condensed Memory Networks for Clinical Diagnostic Inferencing

Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging

Self-improved COOT optimization-based LSTM for patient waiting time prediction

Using computerized clinical decision support for latent tuberculosis infection screening

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation

Type 2 Diabetes Mellitus Prediction Model Based on Machine Learning Approach

Feature Generation, Feature Selection, Classifiers, and Conceptual Drift for Biomedical Document Triage.

Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwest China: Network-Based Study

Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction

An Empirical Model to Predict the Diabetic Positive Using Stacked Ensemble Approach

Explainable Artificial Intelligence in Neuroimaging of Alzheimer’s Disease

Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

Interpretable Temporal Attention Network for COVID-19 forecasting

HXAI-ML: A hybrid explainable artificial intelligence based machine learning model for cardiovascular heart disease detection

Expert systems in medicine: academic illusion or real power?