Alle Papers – Machine Learning im Gesundheitswesen

Artificial Intelligence Accelerated Transformation in The Healthcare Industry

The importance of variation in recovery rates when estimating survival rates from ringing recoveries

Wisconsin Card Sorting Test (WCST)

An Open Science Approach to Artificial Intelligence in Healthcare

Explanatory pragmatism: a context-sensitive framework for explainable medical AI

Machine Learning and Deep Learning Approaches to Analyze and Detect COVID-19: A Review

Computing disease incidence, prevalence and comorbidity from electronic medical records

Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach

A GPT-2 Language Model for Biomedical Texts in Portuguese

Machine learning-based demand forecasting in cancer palliative care home hospitalization

A Derivation of the Pythagorean Won-Loss Formula in Baseball

Accuracy, Consistency, and Hallucination of Large Language Models When Analyzing Unstructured Clinical Notes in Electronic Medical Records

Complete populations of virtual patients for<i>in silico</i>clinical trials

Predicting 30-day mortality after ST elevation myocardial infarction: Machine learning- based random forest and its external validation using two independent nationwide datasets

Using electronic medical records to determine the diagnosis of clinical depression

An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures

Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries

Miscoding of hospital discharges as acute myocardial infarction: Implications for surveillance programs aimed at elucidating trends in coronary artery disease

Novel electronic health records applied for prediction of pre-eclampsia: Machine-learning algorithms

Receiver Operator Characteristic (ROC) Curves

Prediction models for covid-19 outcomes

Computer-Aided Diagnosis System for Early Prediction of Atherosclerosis using Machine Learning and K-fold cross-validation

Data-driven healthcare: from patterns to actions

Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing