AIMC Topic: Humans

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[Guidelines in historical perspective].

Nederlands tijdschrift voor geneeskunde
The role of clinical practice guidelines has changed dramatically the past 50 years. Both beneficial, as also having some disadvantageous effects. Considering the international developments, such as a growing body of evidence and evolving methodologi...

A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.

Sensors (Basel, Switzerland)
Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, and ingestible and implantable sensors are increasingly used by individuals and clinicians to capture the health outcomes or b...

Explainable machine learning methods and respiratory oscillometry for the diagnosis of respiratory abnormalities in sarcoidosis.

BMC medical informatics and decision making
BACKGROUND: In this work, we developed many machine learning classifiers to assist in diagnosing respiratory changes associated with sarcoidosis, based on results from the Forced Oscillation Technique (FOT), a non-invasive method used to assess pulmo...

Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia.

Scientific reports
Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the identification of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A common...

Automated photo-aligned liquid crystal elastomer film fabrication with a low-tech, home-built robotic workstation.

Scientific reports
Laboratory procedures are often considered so unique that automating them is not economically justified - time and resources invested in designing, building and calibrating the machines are unlikely to pay off. This is particularly true if cheap labo...

Embedding cognitive framework with self-attention for interpretable knowledge tracing.

Scientific reports
Recently, deep neural network-based cognitive models such as deep knowledge tracing have been introduced into the field of learning analytics and educational data mining. Despite an accurate predictive performance of such models, it is challenging to...

Deep learning-based classification for lung opacities in chest x-ray radiographs through batch control and sensitivity regulation.

Scientific reports
In this study, we implemented a system to classify lung opacities from frontal chest x-ray radiographs. We also proposed a training method to address the class imbalance problem presented in the dataset. We participated in the Radiological Society of...

PM2.5 forecasting for an urban area based on deep learning and decomposition method.

Scientific reports
Rapid growth in industrialization and urbanization have resulted in high concentration of air pollutants in the environment and thus causing severe air pollution. Excessive emission of particulate matter to ambient air has negatively impacted the hea...

High throughput screening of mesenchymal stem cell lines using deep learning.

Scientific reports
Mesenchymal stem cells (MSCs) are increasingly used as regenerative therapies for patients in the preclinical and clinical phases of various diseases. However, the main limitations of such therapies include functional heterogeneity and the lack of ap...

Technology readiness levels for machine learning systems.

Nature communications
The development and deployment of machine learning systems can be executed easily with modern tools, but the process is typically rushed and means-to-an-end. Lack of diligence can lead to technical debt, scope creep and misaligned objectives, model m...