Alle Papers – Machine Learning im Gesundheitswesen

Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU

Data quality considerations for evaluating COVID-19 treatments using real world data: learnings from the National COVID Cohort Collaborative (N3C)

Explainable artificial intelligence model to predict acute critical illness from electronic health records

PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks

Disease Detection and Prediction Using the Liver Function Test Data: A Review of Machine Learning Algorithms

RiskScape: A Data Visualization and Aggregation Platform for Public Health Surveillance Using Routine Electronic Health Record Data

Automated clinical knowledge graph generation framework for evidence based medicine

Using Features From Pre-trained TimeNET For Clinical Predictions.

A slice selection guided deep integrated pipeline for Alzheimer’s prediction from Structural Brain MRI

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision

Artificial intelligence in the medical profession: ready or not, here AI comes

Factors of hospitalization expenditure of the genitourinary system diseases in the aged based on “System of Health Account 2011” and neural network model

Identification and validation of an explainable early-stage chronic kidney disease prediction model: a multicenter retrospective study

Optimizing identification of resistant hypertension: Computable phenotype development and validation

Understanding How CNNs Recognize Facial Expressions: A Case Study with LIME and CEM

An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers

An application of multinomial processing tree models and Bayesian methods to understanding memory impairment

An electronic medical record-linked biorepository to identify novel biomarkers for atherosclerotic cardiovascular disease

Quantitative prediction of drug side effects based on drug-related features

Diagnosis of mental disorders using machine learning: Literature review and bibliometric mapping from 2012 to 2023

Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling

Personalized medicine—a tradition in general practice!

Predicting transitional interval of kidney disease stages 3 to 5 using data mining method