Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Dynamically Modeling Patient's Health State from Electronic Medical Records: A Time Series Approach
extraction of information related to adverse drug events from electronic health record notes : design of an end - to - end model based on deep learning .
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes
Predicting Hospital Readmission via Cost-Sensitive Deep Learning
Temporal information extraction from clinical text
A methodology for interactive mining and visual analysis of clinical event patterns using electronic health record data
Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning
A General Multi-Context Embedding Model for Mining Human Trajectory Data
Processing of Electronic Health Records using Deep Learning: A review
Modeling Alzheimer’s disease progression using deep recurrent neural networks
Extending CRISP-DM to incorporate temporal data mining of multidimensional medical data streams: A neonatal intensive care unit case study
Clinical Relation Extraction with Deep Learning
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
Fast and Robust Joint Models for Biomedical Event Extraction
Predicting Discharge Medications at Admission Time Based on Deep Learning
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories
Localized Supervised Metric Learning on Temporal Physiological Data
ViSiBiD: A learning model for early discovery and real-time prediction of severe clinical events using vital signs as big data
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping
Wideband Pattern-Reconfigurable Antenna With Switchable Broadside and Conical Beams
Design of a Closed-Loop, Bidirectional Brain Machine Interface System With Energy Efficient Neural Feature Extraction and PID Control
learning representations by back - propagating errors .
database and data warehouse status for e - government system in different ministries of nepal .
Building strong e-democracy: the role of technology in developing democracy for the information age