Olga Kravchenko

ORCID: 0000-0002-8069-8773
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About
Contact & Profiles
Research Areas
  • Industrial Engineering and Technologies
  • Engineering Diagnostics and Reliability
  • Urban Transport Systems Analysis
  • Aerospace, Electronics, Mathematical Modeling
  • Pharmaceutical Practices and Patient Outcomes
  • Cybersecurity and Information Systems
  • Diabetic Foot Ulcer Assessment and Management
  • Transportation Systems and Logistics
  • Frailty in Older Adults
  • Biomedical and Engineering Education
  • Genetic Associations and Epidemiology
  • Machine Learning in Healthcare
  • Maternal and fetal healthcare
  • Cardiovascular Health and Risk Factors
  • Patient Safety and Medication Errors
  • Atrial Fibrillation Management and Outcomes
  • Artificial Intelligence in Healthcare and Education
  • Health, Environment, Cognitive Aging
  • Maternal and Perinatal Health Interventions
  • Technology and Human Factors in Education and Health
  • Biomedical Text Mining and Ontologies
  • Artificial Intelligence in Healthcare
  • Thermal Regulation in Medicine
  • Advanced Research in Systems and Signal Processing
  • Material Properties and Applications

University of Pittsburgh
2019-2025

Cherkasy State Technological University
2012-2017

Abstract Objective The purpose of the study was to develop and validate a model predict risk experiencing fall for nursing home residents utilizing data that are electronically available at more than 15 000 facilities in United States. Materials Methods prediction built tested using 2 extracts (2011 through 2013 2016 2018) from Long-term Care Minimum Dataset (MDS) combined with drug 5 skilled facilities. created hybrid Classification Regression Tree (CART)-logistic approach. Results dataset...

10.1093/jamia/ocac111 article EN Journal of the American Medical Informatics Association 2022-07-11

The goal of this work is to evaluate if there an increase in the risk thromboembolic events (TEEs) due concomitant exposure dexamethasone and apixaban or rivaroxaban. Direct oral anticoagulants (DOACs), as well corticosteroid dexamethasone, are commonly used treat individuals hospitalised with COVID-19. Dexamethasone induces cytochrome P450-3A4 enzyme that also metabolises DOACs This raises a concern about possible interaction between may reduce efficacy result increased TEE. We nested...

10.1136/bmjopen-2022-066846 article EN cc-by-nc BMJ Open 2022-12-01

Definition of reliability was given and classification failures discrete devices performed in the paper. Long life cycle computer systems should be provided by both functional, software components physical hardware. One conditions hardware is systems.The analysis physics carried out. The concentration substances, penetrating into material level energy effects depend on quality element protection against external internal operating factors. An increase intensity their influence increases rate...

10.15587/2312-8372.2014.27934 article EN Technology audit and production reserves 2014-10-02

This study investigates the representativeness of 'All Us' Type 2 Diabetes (T2DB) cohort by comparing it with demographic diversity Behavioral Risk Factor Surveillance System (BRFSS) benchmark. We identified 33,587 individuals within AoU using established computational phenotypes, noting significant disparities in race-age distributions. The analysis underscores need for enhanced data collection strategies and targeted recruitment to reduce biases improve research validity.

10.14293/p2199-8442.1.sop-.pqkbtn.v1 preprint EN cc-by 2024-08-06

Background This study aimed to develop RNN algorithms predict falls in nursing homes. Methods The MDS dataset and prescription drug exposure records were utilized train RNN, LSTM, GRU models for predicting within 90 days window. Results compared the previously evaluated CART-logit model. A ϕK correlation coefficient was used feature analysis. RNNs performed similarly (AUROC ≈ 0.74). Feature analysis identified significant correlations delirium scale (ϕK = 0.63), use of antipsychotic...

10.2217/001c.122435 article EN cc-by-nc Future Medicine AI 2024-08-24

<title>Abstract</title> The goal of this study was to assess trends in postpartum hemorrhage (PPH), its risk factors, and maternal comorbidity burden the United States using aggregate data from Evolve Next-Gen Accrual Clinical Trials (ENACT) network. This federated network employs interactive querying electronic health record repositories academic medical centers nationwide. We conducted repeated annual cross-sectional analyses evaluate PPH occurrence comorbidities across various ethnoracial...

10.21203/rs.3.rs-5041092/v1 preprint EN Research Square (Research Square) 2024-09-26

<h3>Context.</h3> Healthcare research involving patient medical data is often delayed by lengthy approval processes. The Shared Health Research Information Network (SHRINE) offers rapid, secure access to aggregate counts of from participating hospitals. In this study we employ SHRINE's query tools explore temporal trends in postpartum hemorrhage (PPH), identify potential disparities, and highlight the importance accessible advancing health equity improving maternal outcomes....

10.1370/afm.22.s1.6577 article EN The Annals of Family Medicine 2024-11-20

The object of research is the diagnostic decision support system (DSS). One most problematic areas in medical systems formation a knowledge base based on expert rules, which provides recommendation for disease. methods designing have been studied. Methods applying potential artificial intelligence medicine form fuzzy rules or conducting diagnostics basis Bayesian networks are considered. Intellectual computing tools and logic, applied to neural genetic algorithms performed considered.To...

10.15587/2312-8372.2018.128455 article EN Technology audit and production reserves 2017-12-28

The paper studied the causes of degradation microcircuits that are made semiconductors for reliability discrete devices computer systems. function S based on previously described model composite materials, reflecting behavior material device with accounting completed physical processes in material. In analysis metal-non-metal, metal-metal systems exists a special area - thin layer has excellent and chemical properties major components affect devices. This is responsible strength contact link...

10.15587/2312-8372.2015.37697 article EN Technology audit and production reserves 2015-01-29

Formation and research of the materials with predetermined properties is one leaders in field physical degradation. During process creating computer components we have to combine different types homogeneous materials. Through a combination these it obtained composite materials, for which important problem durability reliability.The material degradation discrete device "slowly" relation depreciation time device. Physical leads malfunction devices. Preliminary simulation change under certain...

10.15587/2312-8372.2015.51795 article EN Technology audit and production reserves 2015-09-22

This article focuses on the process of developing intelligent subsystem for reliability forecasting discrete devices «FORECAST». Created system enables according to physical characteristics perform analysis device predict its work in time.Reliability taking into account interphase layer will allow without financial and time costs accurately answer question about depending a unit area formed by interaction two basic materials element.The disadvantage created can be considered necessity...

10.15587/2312-8372.2016.80770 article EN Technology audit and production reserves 2016-09-29

Виконано аналіз існуючих адаптивних систем навчання. Проаналізовано переваги і недоліки систем. Запропоновано процедуру щодо визначення часу потрібного на відповідь кожне питання тесту

10.15587/1729-4061.2012.3671 article UK Eastern-European Journal of Enterprise Technologies 2012-04-01
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