Forecasting COVID-19 Epidemic Trends by Combining a Neural Network with Rt Estimation

Deep learning via LSTM models for COVID-19 infection forecasting in India

(2022) Rohitash Chandra et al.   PLoS One

Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)

(2021) K.E. ArunKumar et al.   APPLIED SOFT COMPUTING

Comparative study of machine learning methods for COVID-19 transmission forecasting

(2021) Abdelkader Dairi et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic

(2021) Rohitash Chandra et al.   PLoS One

Multi-Headed Conv-LSTM Network for Heart Rate Estimation during Daily Living Activities

(2021) Michał Wilkosz et al.   SENSORS

The prediction and analysis of COVID-19 epidemic trend by combining LSTM and Markov method

(2021) Ruifang Ma et al.   Scientific Reports

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

(2021) Nooshin Ayoobi et al.   Results in Physics

On the accuracy of ARIMA based prediction of COVID-19 spread

(2021) Haneen Alabdulrazzaq et al.   Results in Physics

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

(2021) Davide Chicco et al.   PeerJ Computer Science

SARS-CoV-2 Spread Dynamics in Italy: The Calabria Experience

(2021) Ludovico Abenavoli et al.   Reviews on Recent Clinical Trials

Predicting the effective reproduction number of COVID-19: inference using human mobility, temperature, and risk awareness

(2021) Sung-mok Jung et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Time series predicting of COVID-19 based on deep learning

(2021) Madini O. Alassafi et al.   NEUROCOMPUTING

Prediction of Short-Term Stock Price Trend Based on Multiview RBF Neural Network

(2021) Bailin Lv et al.   Computational Intelligence and Neuroscience

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

(2020) Shi Zhao et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

A comparative study on the prediction of the BP artificial neural network model and the ARIMA model in the incidence of AIDS

(2020) Zeming Li et al.   BMC Medical Informatics and Decision Making

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Deep Learning for Stock Market Prediction

(2020) M. Nabipour et al.   Entropy

Deep Bi-LSTM Networks for Sequential Recommendation

(2020) Chuanchuan Zhao et al.   Entropy

SARFIMA model prediction for infectious diseases: application to hemorrhagic fever with renal syndrome and comparing with SARIMA

(2020) Chang Qi et al.   BMC Medical Research Methodology

COVID-19: Transmission, prevention, and potential therapeutic opportunities

(2020) Melika Lotfi et al.   CLINICA CHIMICA ACTA

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

Bayesian change-point modeling with segmented ARMA model

(2019) Farhana Sadia et al.   PLoS One

Neural network models and deep learning

(2019) Nikolaus Kriegeskorte et al.   CURRENT BIOLOGY

Analyzing biological and artificial neural networks: challenges with opportunities for synergy?

(2019) David GT Barrett et al.   CURRENT OPINION IN NEUROBIOLOGY

Big data and machine learning algorithms for health-care delivery

(2019) Kee Yuan Ngiam et al.   LANCET ONCOLOGY

Neural Networks in Neurological and Psychiatric Diseases

(2019) Felix-Martin Werner   CURRENT PHARMACEUTICAL DESIGN

An overview of neural networks for drug discovery and the inputs used

(2018) Yinqiu Xu et al.   Expert Opinion on Drug Discovery

Artificial Intelligence in Drug Design

(2018) Gerhard Hessler et al.   MOLECULES

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Bridging the gap between evidence and policy for infectious diseases: How models can aid public health decision-making

(2016) Gwenan M. Knight et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Mean Absolute Percentage Error for regression models

(2016) Arnaud de Myttenaere et al.   NEUROCOMPUTING

Biology of Malaria Transmission

(2016) Elamaran Meibalan et al.   Cold Spring Harbor Perspectives in Medicine

Financial Time Series Prediction Using Spiking Neural Networks

(2014) David Reid et al.   PLoS One

A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics

(2013) Anne Cori et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

SARIMA for predicting the cases numbers of dengue

(2012) Viroj Wiwanitkit   Revista da Sociedade Brasileira de Medicina Tropical