AIMC Topic: Machine Learning

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Data-Driven Fault Diagnosis for Electric Drives: A Review.

Sensors (Basel, Switzerland)
The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has shifted to massively acquire o...

Evaluating machine learning methodologies for identification of cancer driver genes.

Scientific reports
Cancer is driven by distinctive sorts of changes and basic variations in genes. Recognizing cancer driver genes is basic for accurate oncological analysis. Numerous methodologies to distinguish and identify drivers presently exist, but efficient tool...

Prediction of caregiver quality of life in amyotrophic lateral sclerosis using explainable machine learning.

Scientific reports
Amyotrophic Lateral Sclerosis (ALS) is a rare neurodegenerative, fatal and currently incurable disease. People with ALS need support from informal caregivers due to the motor and cognitive decline caused by the disease. This study aims to identify ca...

Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

Nature communications
In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) form toxic aggregates and amyloid fibrils in target organs. Prompt diagnosis is crucial to avoid permanent organ damage, but delayed diagnosis is common ...

Algebraic graph-assisted bidirectional transformers for molecular property prediction.

Nature communications
The ability of molecular property prediction is of great significance to drug discovery, human health, and environmental protection. Despite considerable efforts, quantitative prediction of various molecular properties remains a challenge. Although s...

Indian citizen's perspective about side effects of COVID-19 vaccine - A machine learning study.

Diabetes & metabolic syndrome
BACKGROUND AND AIMS: Ever since the vaccination drive for COVID-19 has started in India, the citizens have been sharing their views on social media about it. The present study examines the attitude of Indian citizens towards the side effects of the C...

Deep Learning Assisted Neonatal Cry Classification Support Vector Machine Models.

Frontiers in public health
Neonatal infants communicate with us through cries. The infant cry signals have distinct patterns depending on the purpose of the cries. Preprocessing, feature extraction, and feature selection need expert attention and take much effort in audio sign...

Does machine learning have a role in the prediction of asthma in children?

Paediatric respiratory reviews
Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortun...

Dynamical robustness and its structural dependence in biological networks.

Journal of theoretical biology
We discuss the dynamical robustness of biological networks represented by directed graphs, such as neural networks and gene regulatory networks. The theoretical results indicate that networks with low indegree variance and high outdegree variance are...