New Method for Identification and Response to Infectious Disease Patterns Based on Comprehensive Health Service Data
D Vinsensia, S Amri, J Sihotang… - MATRIK: Jurnal …, 2024 - journal.universitasbumigora.ac.id
Infectious diseases continue to pose a major threat to global public health and require early
detection and effective response strategies. Despite advances in information technology and …
detection and effective response strategies. Despite advances in information technology and …
Investigation of statistical machine learning models for COVID-19 epidemic process simulation: Random forest, K-nearest neighbors, gradient boosting
COVID-19 has become the largest pandemic in recent history to sweep the world. This study
is devoted to develo** and investigating three models of the COVID-19 epidemic process …
is devoted to develo** and investigating three models of the COVID-19 epidemic process …
Impact of war on the dynamics of COVID-19 in Ukraine
D Chumachenko, T Chumachenko - BMJ Global Health, 2022 - gh.bmj.com
On 24 February 2022, Russia unreasonably attacked Ukraine. The current estimated
number of victims in Ukraine is 18 million. 1 In addition to the destruction and humanitarian …
number of victims in Ukraine is 18 million. 1 In addition to the destruction and humanitarian …
Intelligent decision support system for differential diagnosis of chronic odontogenic rhinosinusitis based on U-net segmentation
The share of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis.
Using automated information systems for differential diagnosis will improve the efficiency of …
Using automated information systems for differential diagnosis will improve the efficiency of …
Machine learning methods in predicting patients with suspected myocardial infarction based on short-time HRV data
D Chumachenko, M Butkevych, D Lode, M Frohme… - Sensors, 2022 - mdpi.com
Diagnosis of cardiovascular diseases is an urgent task because they are the main cause of
death for 32% of the world's population. Particularly relevant are automated diagnostics …
death for 32% of the world's population. Particularly relevant are automated diagnostics …
[PDF][PDF] Classification and Prediction of Diabetes Disease using Decision Tree Method.
T Dudkina, I Meniailov, K Bazilevych, S Krivtsov… - IT&AS, 2021 - ceur-ws.org
Digitalization in medicine has become one of the largest gaps in almost all healthcare
systems in the world. Diabetes remains one of the pressing health problems. According to …
systems in the world. Diabetes remains one of the pressing health problems. According to …
A Geospatial Artificial Intelligence and satellite-based earth observation cognitive system in response to COVID-19
S Atek, C Pesaresi, M Eugeni, C De Vito, V Cardinale… - Acta Astronautica, 2022 - Elsevier
The pandemic emergency caused by the spread of COVID-19 has stressed the importance
of promptly identifying new epidemic clusters and patterns, to ensure the implementation of …
of promptly identifying new epidemic clusters and patterns, to ensure the implementation of …
Comparative study of linear regression and SIR models of COVID-19 propagation in Ukraine before vaccination
The global COVID-19 pandemic began in December 2019 and spread rapidly around the
world. Worldwide, more than 230 million people fell ill, 4.75 million cases were fatal. In …
world. Worldwide, more than 230 million people fell ill, 4.75 million cases were fatal. In …
A predictive decision support system for coronavirus disease 2019 response management and medical logistic planning
S Atek, F Bianchini, C De Vito, V Cardinale… - Digital …, 2023 - journals.sagepub.com
Objective Coronavirus disease 2019 demonstrated the inconsistencies in adequately
responding to biological threats on a global scale due to a lack of powerful tools for …
responding to biological threats on a global scale due to a lack of powerful tools for …
Intelligent decision-support system for epidemiological diagnostics. I. A concept of architecture design
KO Bazilevych, DI Chumachenko… - … and Systems Analysis, 2022 - Springer
The problems of decision support for epidemiological diagnostics are investigated. The
basis for supporting decision-making is mathematical tools for analyzing morbidity data, as …
basis for supporting decision-making is mathematical tools for analyzing morbidity data, as …