Search
Search Results
-
A hybrid model for hand-foot-mouth disease prediction based on ARIMA-EEMD-LSTM
BackgroundHand, foot, and mouth disease (HFMD) is a common infectious disease that poses a serious threat to children all over the world. However,...
-
Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features
Electrocardiogram (ECG) signals are very important for heart disease diagnosis. In this paper, a novel early prediction method based on Nested Long...
-
Identification and Localization of Indolent and Aggressive Prostate Cancers Using Multilevel Bi-LSTM
Identifying indolent and aggressive prostate cancers is a critical problem for optimal treatment. The existing approaches of prostate cancer...
-
LSTM-based recurrent neural network provides effective short term flu forecasting
BackgroundInfluenza virus is responsible for a yearly epidemic in much of the world. To better predict short-term, seasonal variations in flu...
-
Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding
BackgroundThe widespread adoption of telehealth services necessitates accurate online department selection based on patient medical records, a task...
-
CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment
Computed tomography perfusion (CTP) is a dynamic 4-dimensional imaging technique (3-dimensional volumes captured over approximately 1 min) in which...
-
Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China
BackgroundInfluenza is an acute respiratory infectious disease that is highly infectious and seriously damages human health. Reasonable prediction is...
-
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
BackgroundGrading of cancer histopathology slides requires more pathologists and expert clinicians as well as it is time consuming to look manually...
-
Study of the influence of meteorological factors on HFMD and prediction based on the LSTM algorithm in Fuzhou, China
BackgroundThis study adopted complete meteorological indicators, including eight items, to explore their impact on hand, foot, and mouth disease...
-
Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tian**, China
BackgroundThis study aims to explore appropriate model for predicting the disease burden of pneumoconiosis in Tian** by comparing the prediction...
-
A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation in Liaoning Province, China
BackgroundTuberculosis (TB) is the respiratory infectious disease with the highest incidence in China. We aim to design a series of forecasting...
-
Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture
The external and middle ear conditions are diagnosed using a digital otoscope. The clinical diagnosis of ear conditions is suffered from restricted...
-
Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa
ObjectiveCompared with other regions in the world, the transmission characteristics of the COVID-19 epidemic in Africa are more obvious, has a unique...
-
Study on the influence of meteorological factors on influenza in different regions and predictions based on an LSTM algorithm
BackgroundInfluenza epidemics pose a threat to human health. It has been reported that meteorological factors (MFs) are associated with influenza....
-
A Multilevel Transfer Learning Technique and LSTM Framework for Generating Medical Captions for Limited CT and DBT Images
Medical image captioning has been recently attracting the attention of the medical community. Also, generating captions for images involving multiple...
-
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models
BackgroundCardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with...
-
Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
BackgroundBlood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin...
-
Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model
BackgroundGonorrhea has long been a serious public health problem in mainland China that requires attention, modeling to describe and predict its...
-
A hybrid model for tuberculosis forecasting based on empirical mode decomposition in China
BackgroundPulmonary Tuberculosis is a major public health problem endangering people's health, a scientifically accurate predictive model is of great...
-
Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
The majority of deep learning models in medical image analysis concentrate on single snapshot timepoint circumstances, such as the identification of...
