[HTML][HTML] Prediction and analysis of corona virus disease 2019
Y Hao, T Xu, H Hu, P Wang, Y Bai - PloS one, 2020 - journals.plos.org
The outbreak of Corona Virus Disease 2019 (COVID-19) in Wuhan has significantly
impacted the economy and society globally. Countries are in a strict state of prevention and …
impacted the economy and society globally. Countries are in a strict state of prevention and …
Survey of various statistical numerical and machine learning ontological models on infectious disease ontology
Y Natarajan, S Kannan… - Data Analytics in …, 2021 - Wiley Online Library
In this chapter, we present a survey on various decision support methods that uses ontology
as its tool to provide the reasoning, medical knowledge list, attributes and relationship …
as its tool to provide the reasoning, medical knowledge list, attributes and relationship …
A personalized infectious disease risk prediction system
RA Vinarti, LM Hederman - Expert Systems with Applications, 2019 - Elsevier
This article presents a system for predicting a human's risk of contracting infectious diseases
based on their personal attributes and environments (region, specific location features and …
based on their personal attributes and environments (region, specific location features and …
Semi-Automatic Ontology Generation for Infectious Disease Domain from Text Data
MRN Ghozi, A Djunaidy, RA Vinarti… - … on Information & …, 2023 - ieeexplore.ieee.org
The accurate representation and organization of knowledge in the domain of infectious
diseases are crucial for effective disease management, research, and public health …
diseases are crucial for effective disease management, research, and public health …
Social Media Mining Algorithms Big Data Analysts Need to Improve Infectious Disease Predictive Model for Malaria in Ethiopia
Y Tsehay - 2019 - search.proquest.com
Understanding big data and data mining algorithms is vital in the study of predictive
analytics and the healthcare industry in improving disease predictive models. Disease …
analytics and the healthcare industry in improving disease predictive models. Disease …
管制移交人误本体建模及BN 诊断研究
王洁宁， 庾睿 - 中国安全科学学报, 2018 - cssjj.com.cn
为管控人为差错导致的空中交通管制(ATM) 移交风险, 提高空管运行安全,
基于空管人误分类模型(HERA-JANUS) 构建领域本体模型, 并借助BNTab 插件和NeticaJ …
基于空管人误分类模型(HERA-JANUS) 构建领域本体模型, 并借助BNTab 插件和NeticaJ …
[PDF][PDF] Design a Novel Disease Risk Prediction Framework Based on Environmental Factors
The classification of coronary heart disease can be useful for medical practitioners if it is
automated with the purpose of obtaining a quick and accurate result. The ability to …
automated with the purpose of obtaining a quick and accurate result. The ability to …
Exploration and Prediction Analysis of Featured Data Sets of Infectious Disease
DBP GurminderKaur - Annals of the Romanian Society for Cell …, 2021 - annalsofrscb.ro
Abstract diagnosis and management. While general internists and other medical
practitioners handle the most contagious diseases, internists who practice medicine for …
practitioners handle the most contagious diseases, internists who practice medicine for …
[PDF][PDF] The Knowledge Representation and Algorithm for Personalized Infectious Disease Risk Prediction
RA Vinarti - 2019 - tara.tcd.ie
THE KNOWLEDGE REPRESENTATION AND ALGORITHM FOR PERSONALIZED INFECTIOUS
DISEASE RISK PREDICTION Page 1 i THE KNOWLEDGE REPRESENTATION AND …
DISEASE RISK PREDICTION Page 1 i THE KNOWLEDGE REPRESENTATION AND …
Research on human error ontology modeling and BN diagnosisfor handover in ATM system
W Jiening, YU Rui - China Safety Science Journal, 2018 - cssjj.com.cn
For the purpose of controlling the risk of human error in the handover process in ATM under
the influence of human error and improving the security of operation, an ATM human error …
the influence of human error and improving the security of operation, an ATM human error …