Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: The OhioT1DM Dataset For Blood Glucose Level Prediction
Using LSTMs to learn physiological models of blood glucose behavior
Review of Machine Learning techniques for glaucoma detection and prediction
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model
Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images
TATC: Predicting Alzheimer's Disease with Actigraphy Data
big data analytics predicting risk of readmissions of diabetic patients .
Adversarial Training for Disease Prediction from Electronic Health Records with Missing Data
DIARETDB0: Evaluation Database and Methodology for Diabetic Retinopathy Algorithms
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis
Evaluation of a Non-Invasive Optical Glucose Monitoring Device
An Early Detection Method of Type-2 Diabetes Mellitus in Public Hospital
The Diabetes Risk Score: A practical tool to predict type 2 diabetes risk
kidney disease prediction .
Automatic Detection of Diabetes Diagnosis using Feature Weighted Support Vector Machines based on Mutual Information and Modified Cuckoo Search
Non invasive estimation of blood glucose using near infra red spectroscopy and double regression analysis
A Literature Review on Kidney Disease Prediction using Data Mining Classification Technique
A Heart Disease Prediction Model Using Decision Tree
An analytical method for diseases prediction using machine learning techniques
Disease Prediction from Electronic Health Records Using Generative Adversarial Networks
Early prediction of autoimmune (type 1) diabetes
analysis and control of three phase multi level inverters with sinusoidal pwm feeding balanced loads using matlab .
Driver drowsiness detection with eyelid related parameters by Support Vector Machine
Learning for New Visual Environments with Limited Labels
Measurement of Individual Differences Lessons From Memory Assessment in Research and Clinical Practice
Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies