Multi-disease prediction using LSTM recurrent neural networks

Application of Artificial Intelligence Techniques to Predict Survival in Kidney Transplantation: A Review

(2020) Covadonga Díez-Sanmartín et al.   Journal of Clinical Medicine

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

(2019) Shiwen Shen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A simple risk score for prediction of sepsis associated-acute kidney injury in critically ill patients

(2019) Jiaojiao Zhou et al.   JOURNAL OF NEPHROLOGY

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

(2018) Ha Young Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

An architecture for emergency event prediction using LSTM recurrent neural networks

(2018) Bitzel Cortez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

Deep learning for biological image classification

(2017) Carlos Affonso et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting healthcare trajectories from medical records: A deep learning approach

(2017) Trang Pham et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Implementation of a scalable, web-based, automated clinical decision support risk-prediction tool for chronic kidney disease using C-CDA and application programming interfaces

(2017) Lipika Samal et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

A multi-label classification based approach for sentiment classification

(2015) Shuhua Monica Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Informal Health Provider and Practical Approach to Lung Health interventions to improve the detection of chronic airways disease and tuberculosis at primary care level in Malawi: study protocol for a randomised controlled trial

(2015) Hastings T Banda et al.   Trials

Efficient classification of multi-labeled text streams by clashing

(2014) Ricardo Ñanculef et al.   EXPERT SYSTEMS WITH APPLICATIONS

Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients

(2014) David W. Bates et al.   HEALTH AFFAIRS

NIH'sBig Data to Knowledgeinitiative and the advancement of biomedical informatics

(2014) Lucila Ohno-Machado   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A Review on Multi-Label Learning Algorithms

(2013) Min-Ling Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Models for Disease Progression: New Approaches and Uses

(2012) D R Mould   CLINICAL PHARMACOLOGY & THERAPEUTICS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure

(2011) Navdeep Tangri   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

High-Sensitivity Cardiac Troponin T for Early Prediction of Evolving Non-ST-Segment Elevation Myocardial Infarction in Patients with Suspected Acute Coronary Syndrome and Negative Troponin Results on Admission

(2010) E. Giannitsis et al.   CLINICAL CHEMISTRY

Using data mining techniques for multi-diseases prediction modeling of hypertension and hyperlipidemia by common risk factors

(2010) Cheng-Ding Chang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Disease progression meta-analysis model in Alzheimer's disease

(2009) Kaori Ito et al.   Alzheimers & Dementia