Pulmonology

Asthma

Latest AI and machine learning research in asthma for healthcare professionals.

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Showing 337-357 of 1,724 articles
Energy Efficient Monitoring of Metered Dose Inhaler Usage.

Life-long chronic inflammatory diseases of the airways, such as asthma and Chronic Obstructive Pulmo...

Oct 2016 27796843
Machine learning approaches to personalize early prediction of asthma exacerbations.

Patient telemonitoring results in an aggregation of significant amounts of information about patient...

Sep 2016 27627195
Lung sound classification using cepstral-based statistical features.

Lung sounds convey useful information related to pulmonary pathology. In this paper, short-term spec...

May 2016 27286184
Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers.

While the association of eczema with asthma is well recognized, little research has focused on the p...

Feb 2016 26907317
Outcome of Inhaler Withdrawal in Patients Receiving Triple Therapy for COPD.

BACKGROUND: The purpose of this study was to document outcomes following withdrawal of a single inha...

Dec 2015 26770231
Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.

Multi-marker approaches have received a lot of attention recently in genome wide association studies...

Nov 2015 26619286
Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease.

BACKGROUND: This paper presents a system for classification of asthma and chronic obstructive pulmon...

Sep 2015 26391218
Synthesis of -Mannich bases of berberine linking piperazine moieties revealing anticancer and antioxidant effects.

A new Mannich base series of piperazine linked berberine analogues was furnished in this study to sc...

Sep 2015 28053569
An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs.

We discuss the design of an experimentation platform intended for prototyping low-cost analog neural...

Sep 2014 25248194
Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning

Extensive research has highlighted the severe threats posed by backdoor attacks to deep reinforcemen...

Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance

As microelectronics flourish and outsourcing of the design and manufacturing stages of integrated ci...

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process

In a previous work (Elaarabi et al., 2025b), the Sequence Encoder for online dynamical system identi...

SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation

In light of globalized hardware supply chains, the assurance of hardware components has gained signi...

Exposomics for childhood asthma

Identification of early interventions to reduce/eliminate asthma - the most common chronic disease a...

Multimodal EHR-Based Prediction of Pediatric Asthma Exacerbations

Pediatric asthma exacerbations are a frequent cause of emergency department (ED) visits and hospital...

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction

Graph Neural Networks (GNNs) have shown remarkable capabilities in learning from graph-structured da...

PC-MCL: Patient-Consistent Multi-Cycle Learning with multi-label bias correction for respiratory sound classification

Automated respiratory sound classification supports the diagnosis of pulmonary diseases. However, ma...

The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing d...

Aug 2025 40382871
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