A deep learning approach for inpatient length of stay and mortality prediction

An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting

(2023) Ziyuan Zhang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Development of a clinical prediction model for recurrence and mortality outcomes after Clostridioides difficile infection using a machine learning approach

(2022) Daniel Ruzicka et al.   ANAEROBE

Multi-scale receptive field fusion network for lightweight image super-resolution

(2022) Jing Luo et al.   NEUROCOMPUTING

Ensemble deep learning: A review

(2022) M.A. Ganaie et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

ISeeU2: Visually interpretable mortality prediction inside the ICU using deep learning and free-text medical notes

(2022) William Caicedo-Torres et al.   EXPERT SYSTEMS WITH APPLICATIONS

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion

(2022) Abdulrahman Al-Dailami et al.   COMPUTERS IN BIOLOGY AND MEDICINE

AI-CardioCare: Artificial Intelligence Based Device for Cardiac Health Monitoring

(2022) Rakesh Chandra Joshi et al.   IEEE Transactions on Human-Machine Systems

Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units

(2022) Igor Tona Peres et al.   Anaesthesia Critical Care & Pain Medicine

Length of hospital stay prediction with an integrated approach of statistical-based fuzzy cognitive maps and artificial neural networks

(2021) Elif Dogu et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Neural network-based multi-task learning for inpatient flow classification and length of stay prediction

(2021) Lu He et al.   APPLIED SOFT COMPUTING

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture

(2021) Julian Theis et al.   IEEE Journal of Biomedical and Health Informatics

A novel severity score to predict inpatient mortality in COVID-19 patients

(2020) David J. Altschul et al.   Scientific Reports

A new method of diesel fuel brands identification: SMOTE oversampling combined with XGBoost ensemble learning

(2020) Shutao Wang et al.   FUEL

Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model

(2019) Ke Lin et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Multitask learning and benchmarking with clinical time series data

(2019) Hrayr Harutyunyan et al.   Scientific Data

MRFN: Multi-Receptive-Field Network for Fast and Accurate Single Image Super-Resolution

(2019) Zewei He et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission

(2017) Lior Turgeman et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiclassifier Systems for Predicting Neurological Outcome of Patients with Severe Trauma and Polytrauma in Intensive Care Units

(2017) Javier González-Robledo et al.   JOURNAL OF MEDICAL SYSTEMS

Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation

(2016) Matthew M. Churpek et al.   Journal of Hospital Medicine

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network

(2016) Pei-Fang (Jennifer) Tsai et al.   Journal of Healthcare Engineering

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study

(2015) Romain Pirracchio et al.   Lancet Respiratory Medicine

A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data

(2012) Fei Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE