Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Unsupervised learning of disease progression models
Modeling disease progression via multi-task learning
Survey of Machine Learning Algorithms for Disease Diagnostic
An Efficient Algorithm for Disease Prediction with Multi Dimensional Data
The Detection of Disease Clustering and a Generalized Regression Approach
Supervising Unsupervised Learning
Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests
A survey on technique for prediction of disease in medical data
A semi-supervised method for predicting cancer survival using incomplete clinical data
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
Revisiting unsupervised learning for defect prediction
Unsupervised learning of models for recognition
Deep Learning to Predict Patient Future Diseases from the Electronic Health Records
Modeling Hebb Learning Rule for Unsupervised Learning
Unsupervised Learning by Predicting Noise
A review of unsupervised feature learning and deep learning for time-series modeling
Feature Selection for Unsupervised Learning
Supervised learning with decision tree-based methods in computational and systems biology
A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery
Applications of Machine Learning in Cancer Prediction and Prognosis
Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
Precocious Puberty
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach
Organizational Learning Capabilities (OLC) toward Job Satisfaction: A Conceptual Framework
An updated review on the phytochemistry, pharmacology, and clinical trials of Salacia oblonga
An efficient algorithm for a class of fused lasso problems