In recent years,Parkinson’s Disease(PD)as a progressive syndrome of the nervous system has become highly prevalent worldwide.In this study,a novel hybrid technique established by integrating a Multi-layer Perceptron ...In recent years,Parkinson’s Disease(PD)as a progressive syndrome of the nervous system has become highly prevalent worldwide.In this study,a novel hybrid technique established by integrating a Multi-layer Perceptron Neural Network(MLP)with the Biogeography-based Optimization(BBO)to classify PD based on a series of biomedical voice measurements.BBO is employed to determine the optimal MLP parameters and boost prediction accuracy.The inputs comprised of 22 biomedical voice measurements.The proposed approach detects two PD statuses:0-disease status and 1-good control status.The performance of proposed methods compared with PSO,GA,ACO and ES method.The outcomes affirm that the MLP-BBO model exhibits higher precision and suitability for PD detection.The proposed diagnosis system as a type of speech algorithm detects early Parkinson’s symptoms,and consequently,it served as a promising new robust tool with excellent PD diagnosis performance.展开更多
Objective:To determine the healthcare utilization patterns and estimate the economic burden of animal bites in Golestan province,north part of Iran.Methods:This cross-sectional study was performed based on the data of...Objective:To determine the healthcare utilization patterns and estimate the economic burden of animal bites in Golestan province,north part of Iran.Methods:This cross-sectional study was performed based on the data of 12181 animal-bite patients from Golestan province who were referred to the rabies prophylaxis centers between March 2019 and March 2020.The study was a societal perspective,and all patients were investigated by census method.The micro-costing method with a bottom-up approach as well as the human capital approach were used to estimate the economic burden.Results:In our study,the economic burden caused by animal bites was estimated at$1383639(275354672060 Rials).The largest share of costs was related to direct healthcare costs,direct non-healthcare costs,and indirect costs accouting for 91%,5%,and 4%,respectively.In addition,the average cost of a animal-bite patient was estimated at$113.5(22605260 Rials)(The average cost of a case in type 2 and 3 exposures was$45 and$412.8,respectively).The largest share of direct healthcare costs was related to immunoglobulin,vaccine,and personnel expenses accounting for 61.3%,19.8%,and 11.65%,respectively.Conclusions:Our study shows that animal bites in Golestan province,north of Iran impose a high economic burden on the communities,especially the healthcare system,which indicates the need to review management and control programs of animal bites and rabies based on animal-bite patterns of the area.展开更多
文摘In recent years,Parkinson’s Disease(PD)as a progressive syndrome of the nervous system has become highly prevalent worldwide.In this study,a novel hybrid technique established by integrating a Multi-layer Perceptron Neural Network(MLP)with the Biogeography-based Optimization(BBO)to classify PD based on a series of biomedical voice measurements.BBO is employed to determine the optimal MLP parameters and boost prediction accuracy.The inputs comprised of 22 biomedical voice measurements.The proposed approach detects two PD statuses:0-disease status and 1-good control status.The performance of proposed methods compared with PSO,GA,ACO and ES method.The outcomes affirm that the MLP-BBO model exhibits higher precision and suitability for PD detection.The proposed diagnosis system as a type of speech algorithm detects early Parkinson’s symptoms,and consequently,it served as a promising new robust tool with excellent PD diagnosis performance.
文摘Objective:To determine the healthcare utilization patterns and estimate the economic burden of animal bites in Golestan province,north part of Iran.Methods:This cross-sectional study was performed based on the data of 12181 animal-bite patients from Golestan province who were referred to the rabies prophylaxis centers between March 2019 and March 2020.The study was a societal perspective,and all patients were investigated by census method.The micro-costing method with a bottom-up approach as well as the human capital approach were used to estimate the economic burden.Results:In our study,the economic burden caused by animal bites was estimated at$1383639(275354672060 Rials).The largest share of costs was related to direct healthcare costs,direct non-healthcare costs,and indirect costs accouting for 91%,5%,and 4%,respectively.In addition,the average cost of a animal-bite patient was estimated at$113.5(22605260 Rials)(The average cost of a case in type 2 and 3 exposures was$45 and$412.8,respectively).The largest share of direct healthcare costs was related to immunoglobulin,vaccine,and personnel expenses accounting for 61.3%,19.8%,and 11.65%,respectively.Conclusions:Our study shows that animal bites in Golestan province,north of Iran impose a high economic burden on the communities,especially the healthcare system,which indicates the need to review management and control programs of animal bites and rabies based on animal-bite patterns of the area.
