Le Dinh Van Khoa
A5023306776- Respiratory Support and Mechanisms
- Intensive Care Unit Cognitive Disorders
- Non-Invasive Vital Sign Monitoring
- Neural Networks and Applications
- Rough Sets and Fuzzy Logic
- Imbalanced Data Classification Techniques
- Pneumothorax, Barotrauma, Emphysema
- Crime, Illicit Activities, and Governance
- Heart Rate Variability and Autonomic Control
- Microbial Metabolic Engineering and Bioproduction
- Pediatric Pain Management Techniques
- Cybercrime and Law Enforcement Studies
- Biosensors and Analytical Detection
- Radiology practices and education
- Infectious Diseases and Tuberculosis
- Forest Biomass Utilization and Management
- Radiation Dose and Imaging
- Tuberculosis Research and Epidemiology
- Stock Market Forecasting Methods
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- ECG Monitoring and Analysis
- COVID-19 diagnosis using AI
- Ultrasound in Clinical Applications
- Software Engineering Research
META Group
2025
Analysis Group (United States)
2025
Oxford University Clinical Research Unit
2021-2024
University of Nottingham Malaysia Campus
2014-2021
Interpreting point-of-care lung ultrasound (LUS) images from intensive care unit (ICU) patients can be challenging, especially in low- and middle- income countries (LMICs) where there is limited training available. Despite recent advances the use of Artificial Intelligence (AI) to automate many imaging analysis tasks, no AI-enabled LUS solutions have been proven clinically useful ICUs, specifically LMICs. Therefore, we developed an AI solution that assists practitioners assessed its...
How might it impact on healthcare in the future?► The ability to record vital sign data using simple and low-cost equipment could be a solution challenge of monitoring critically ill patients resource-limited settings.► Wearable devices provide continuous physiological suitable for training machine learning systems, enabling improved risk prediction thereby facilitating patient outcomes.
Abstract The first nationwide outbreak of COVID-19 in Vietnam started late April 2021 and was caused almost exclusively by a single Delta lineage, AY.57. In early 2022, multiple Omicron variants co-circulated with quickly became dominant. co-circulation happened leading to possibility co-infection recombination events which can be revealed viral genomic data. From January October total 1028 RNA samples out 4852 positive (Ct < 30) were sequenced the long pooled amplicons method on Illumina...
Money laundering refers to activities that disguise money receive through illegal operations and make them become legitimate. It leaves serious consequence may lead economy corruption. Extensive research has been conducted investigate proper solution for suspicious transactions detection. In the realm of clustering approaches, traditional only concentrate on k-means as best technique so far. On other hand, although belongs same class, there is a lack studies in employing Expectation...
Infectious diseases remain a common problem in low- and middle-income countries, including Vietnam. Tetanus is severe infectious disease characterized by muscle spasms complicated autonomic nervous system dysfunction cases. Patients require careful monitoring using electrocardiograms (ECGs) to detect deterioration the onset of as early possible. Machine learning analysis ECG has been shown extra value predicting tetanus severity, however any additional signal places high demand on...
In‐line inspection (ILI) robot has been considered as an inevitable requirement to perform non‐destructive testing methods efficiently and economically. The detection of flaws that could lead leakages in buried concrete pipes area great concern the oil gas industry water resource‐based industry. major problem is difficulty modelling cracks a result its irregularity randomness cannot be easily detected. This work covers study defect using fusion inspect sensors, light ranging, optic sensors....
Abstract Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for accurate prognosis other outcomes, especially when impacted by co-morbidities HIV infection. Brain magnetic resonance imaging (MRI) characterises extent and severity disease may enable more prediction complications poor outcomes. We analysed clinical brain MRI data from a prospective longitudinal study 216 adults with TBM; 73 (34%)...
<ns4:p>Background Awake prone positioning (APP) may be beneficial in patients with respiratory failure who are not receiving mechanical ventilation. Randomized controlled trials of APP have been performed during peak COVID-19 periods unvaccinated populations, limited data on compliance or patient acceptability. We aimed to evaluate the efficacy and acceptability a lower-middle income country an open-label randomized trial using dedicated implementation team wearable continuous-monitoring...
<ns3:p>Background Awake prone positioning (APP) may be beneficial in patients with respiratory failure who are not receiving mechanical ventilation. Randomized controlled trials of APP have been performed during peak COVID-19 periods unvaccinated populations, limited data on compliance or patient acceptability. We aimed to evaluate the efficacy and acceptability a lower-middle income country an open-label randomized trial using dedicated implementation team wearable continuous-monitoring...
<ns3:p>Evidence mainly from high income countries suggests that lying in the prone position may be beneficial patients with COVID-19 even if they are not receiving invasive ventilation. Studies indicate increased duration of associated improved outcomes, but achieving this requires additional staff time and resources. Our study aims to support prolonged (≥ 8hours/day) awake positioning moderate severe disease Vietnam. We use a specialist team wearable devices assist monitoring vital signs an...
Electrocardiogram (ECG) and photoplethysmogram (PPG) are commonly used to determine the vital signs of heart rate, respiratory oxygen saturation in patient monitoring. In addition simple observation those summarized indexes, waveform signals can be analyzed provide deeper insights into disease pathophysiology support clinical decisions. Such data, generated from continuous monitoring both conventional bedside low-cost wearable monitors, increasingly accessible. However, recorded waveforms...
Muscle ultrasound has been shown to be a valid and safe imaging modality assess muscle wasting in critically ill patients the intensive care unit (ICU). This typically involves manual delineation measure rectus femoris cross-sectional area (RFCSA), which is subjective, time-consuming, laborious task that requires significant expertise. We aimed develop evaluate an AI tool performs automated recognition measurement of RFCSA support non-expert operators using ultrasound. Twenty were recruited...
Abstract Objectives We evaluated the efficacy and acceptability of awake-prone positioning (APP) in a randomised controlled trial, using dedicated APP implementation team wearable continuous-monitoring devices to monitor position oximetry. Methods The trial was performed at tertiary level hospital Ho Chi Minh City, Vietnam, recruiting adults (≥18 years) hospitalised with moderate or severe COVID-19 receiving supplemental oxygen therapy via nasal/facemask systems high-flow nasal canulae....
The pipelines transmission system is one of the growing aspects, which has existed for a long time in energy industry. cost in-pipe exploration maintaining service always draws lots attention this Normally methods (e.g. Magnetic flux leakage and eddy current) will establish sensors stationary each pipe milestone or carry to travel inside pipe. It makes maintenance process very difficult due massive amount sensors. One solutions implement machine learning techniques analysis sensory data....