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Kidney Function
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Continuous prediction of urine production in the next 2h as an average rate in ml/kg/h. The task is predicted at irregular intervals.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease
Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models
Adaptive Local Binary Pattern: A Novel Feature Descriptor for Enhanced Analysis of Kidney Abnormalities in CT Scan Images using ensemble based Machine Learning Approach
Enhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
Embracing Sex-specific Differences in Engineered Kidney Models for Enhanced Biological Understanding
Computational modelling of peritoneal dialysis: an overview
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Non-invasive urinary bladder volume estimation with artefact-suppressed bio-impedance measurements
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine Learning
Performance Analysis of Machine Learning Algorithms in Chronic Kidney Disease Prediction
LIT01-196, a Metabolically Stable Apelin-17 Analog, Normalizes Blood Pressure in Hypertensive DOCA-Salt Rats via a NO Synthase-dependent Mechanism
Comment on "Water sources and kidney function: investigating chronic kidney disease of unknown etiology in a prospective study", by P. Vlahos et al
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
Mathematical Modeling, In-Human Evaluation and Analysis of Volume Kinetics and Kidney Function after Burn Injury and Resuscitation
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys
Development and evaluation of an Explainable Prediction Model for Chronic Kidney Disease Patients based on Ensemble Trees
Kidney segmentation in neck-to-knee body MRI of 40,000 UK Biobank participants
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data
Modeling the Effects of Multiple Myeloma on Kidney Function
Automatic Renal Segmentation in DCE-MRI using Convolutional Neural Networks
Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients
A comment on the paper Prediction of Kidney Function from Biopsy Images using Convolutional Neural Networks
Automated Identification of Drug-Drug Interactions in Pediatric Congestive Heart Failure Patients
Prediction of Kidney Function from Biopsy Images Using Convolutional Neural Networks
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
Global Sensitivity Analysis in a Mathematical Model of the Renal Interstitium
Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate
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