Some of the well-known researches have attempted to establish a disease-prediction model based on the gut microbiome data from healthy individuals and patients, and have discovered that gut microbiome data can be applied to predict specific diseases12. Patients with irritable bowel syndrome and health...
Improving Multiple Sclerosis Disease Prediction Using Hybrid Deep Learning ModelARTIFICIAL neural networksMACHINE learningCENTRAL nervous systemFEATURE selectionDEEP learningMyelin damage and a wide range of symptoms are caused by the immune system targeting the central nervous system in Multiple Sclerosis (MS...
However, mortality prediction for ICU patients has typically been conducted by building one common predictive model for all the diseases. In this paper, we incorporate disease-specific contexts into mortality modeling by formulating the mortality prediction problem as a multi-task learning problem in ...
Objective To explore the value of the multiple seasonal autoregressive integrated moving average model( ARIMA)applied to predict the monthly incidence of hand-foot-mouth disease( HFMD),and to provide a reference for the prevention and control of HFMD. Methods Eviews 8. 0 was used to construct ...
Predicting multiple types of disease-miRNA associations can further broaden our understanding about the molecular basis of diseases in the level of miRNAs. In this study, the model of Restricted Boltzmann machine for multiple types of miRNA-disease association prediction (RBMMMDA) was developed to ...
Predicting multiple types of disease-miRNA associations can further broaden our understanding about the molecular basis of diseases in the level of miRNAs. In this study, the model of Restricted Boltzmann machine for multiple types of miRNA-disease association prediction (RBMMMDA) was developed to ...
This study included 306 patients < 18 years old admitted to a pediatric cardiac ICU after surgery requiring cardiopulmonary bypass (CPB) for congenital heart disease. Persistent MODS, defined as dysfunction of two or more organ systems on postoperative day 5, was the primary outcome. PERSEVERE...
Machine learning applied to a Cardiac Surgery Recovery Unit and to a Coronary Care Unit for mortality prediction Article15 April 2021 Introduction Hospitalization in the intensive care unit (ICU) is characterized by a variety of disease types and severity; some patients, for instance, might require...
In this study, we developed the first non-invasive multivariate model to predict Ki-67 before surgery with over 80% accuracy. Our model includes peritumoral edema and ADC parameters from DWI that are likely to be informative of disease etiology. If replicated, this finding could have a ...
AlphaFold2 (ref.1) has revolutionized structural biology by accurately predicting single structures of proteins. However, a protein’s biological function often depends on multiple conformational substates2, and disease-causing point mutations often cause population changes within these substates3,4. We ...