Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques
Interpretable Deep Learning Framework for Predicting all-cause 30-day ICU Readmissions
Machine Learning Model Interpretability for Precision Medicine
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications
Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis
Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
Making machine learning models interpretable
Evaluating the impact of a computerized surveillance algorithm and decision support system on sepsis mortality
A Deep Predictive Model in Healthcare for Inpatients
Deep Reinforcement Learning for Sepsis Treatment
applying artificial intelligence to identify physiomarkers predicting severe sepsis in the picu .
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
Towards A Rigorous Science of Interpretable Machine Learning
Techniques for interpretable machine learning
An unexpected unity among methods for interpreting model predictions
Anomaly Detection in Data Mining: A Review
A Systematic Review of Outcomes Associated With Withholding or Continuing Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers Before Noncardiac Surgery
Enabling Efficient Question Answer Retrieval via Hyperbolic Neural Networks
NIH plans to enhance reproducibility
Relational Frame Theory: A Post-Skinnerian Account of Human Language and Cognition