Alle Papers – Machine Learning im Gesundheitswesen

EHR-based phenotyping: Bulk learning and evaluation

Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data

Time series prediction using belief network models

Predicting frequent ED use by people with epilepsy with health information exchange data

Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes

Natural language processing of German clinical colorectal cancer notes for guideline-based treatment evaluation

EHRtemporalVariability: delineating temporal data-set shifts in electronic health records

Construction and Interpretation of Prediction Model of Teicoplanin Trough Concentration via Machine Learning

FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes

Mental Health Diagnosis: A Case for Explainable Artificial Intelligence

A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry

Determining the Time of Cancer Recurrence Using Claims or Electronic Medical Record Data

Improving pain management in patients with sickle cell disease from physiological measures using machine learning techniques

Deep Learning-Based Survival Analysis for High-Dimensional Survival Data

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks

Artificial intelligence-driven translational medicine: a machine learning framework for predicting disease outcomes and optimizing patient-centric care

Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data

The challenge of healthcare big data to China’s commercial health insurance industry: evaluation and recommendations

A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study

Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health

An automatic approach for constructing a knowledge base of symptoms in Chinese

Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions

Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting

Demystifying the black box: A survey on explainable artificial intelligence (XAI) in bioinformatics