RESEARCHER PROFILE

Victor Iapăscurtă

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V

Technical University of Moldova

Sepsis Diagnosis and TreatmentMachine Learning in HealthcareArtificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareEEG and Brain-Computer Interfaces

Victor Iapăscurtă works in Sepsis Diagnosis and Treatment, Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, Artificial Intelligence in Healthcare, EEG and Brain-Computer Interfaces. Recorded institutional associations include Technical University of Moldova, Nicolae Testemițanu State University of Medicine and Pharmacy.

38Publications
32Citations
3H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Dealing With Missing Continuous Biomedical Data: a Data Recovery Method for Machine Learning Purposes

    2022 · 6 citations

  2. Detection of Movement toward Randomness by Applying the Block Decomposition Method to a Simple Model of the Circulatory System

    2019 · 5 citations

  3. A Less Traditional Approach to Biomedical Signal Processing for Sepsis Prediction

    2022 · 3 citations

  4. Combining Algorithmic Information Dynamics Concepts and Machine Learning for Electroencephalography Analysis: What Can We Get?

    2022 · 3 citations

  5. RETRIEVAL-AUGMENTED GENERATION USING DOMAIN-SPECIFIC TEXT: A PILOT STUDY

    2024 · 3 citations

  6. INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY

    2024 · 3 citations

  7. Multi-Agent Approach for Sepsis Management

    2025 · 3 citations

  8. New approaches to missing biomedical data recovery for machine learning

    2023 · 2 citations

  9. NLP Tools for Epileptic Seizure Prediction Using EEG Data: A Comparative Study of Three ML Models

    2023 · 2 citations

  10. Enhancing Sepsis Management in the Intensive Care Unit: A Multi-agent Methodology for Decision Support

    2025 · 1 citations

  11. Tratamentele medicamentoase, utilizate în cadrul terapiei intensive a pacienţilor cu SARS-CoV-2: revistă critică de literatură

    2020 · 0 citations

  12. Preclinical Stage of Building a Machine Learning System for Sepsis Prediction: A Comparative Study of Four Algorithms

    2022 · 0 citations

  13. Kolmogorov-Chaitin Algorithmic Complexity for EEG Analysis

    2022 · 0 citations

  14. A Less Common Algorithmic Complexity Approach to EEG Signal Processing for Machine Learning

    2023 · 0 citations

  15. Estimation of Kolmogorov-Chaitin Complexity on Continuous Biomedical Data for Machine Learning Purposes

    2024 · 0 citations

  16. EXPLORING THE HUMAN CIRCULATORY SYSTEM THROUGH SYSTEM DYNAMICS: A MODEL-BASED APPROACH

    2025 · 0 citations

  17. The Pangenome Variability Index: A Quantitative Measure for Assessing Gene Content Diversity in Microbial Genomes

    2025 · 0 citations

  18. Exploring Maternal-Placental-Fetal Interactions: A Hybrid Modeling Approach for Biomedical Engineering

    2025 · 0 citations

  19. Multi-agent Decision Support for Sepsis: Balancing Precision and Hallucination Risks in Biomedical Engineering

    2025 · 0 citations

  20. Multi-Agent System for Early Sepsis Management Support: A Follow-up Evaluation Study

    2026 · 0 citations

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