Pulmonology

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

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FUZZY COMPUTATIONAL MODELS TO EVALUATE THE EFFECTS OF AIR POLLUTION ON CHILDREN.

OBJECTIVE: To build a fuzzy computational model to estimate the number of hospitalizations of childr...

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Machine learning methods have been applied to many data sets in pharmaceutical research for several ...

Serum ferritin as a non-invasive marker in the prediction of hepatic fibrosis among Egyptian patients with non-alcoholic fatty liver disease.

BACKGROUND AND AIM: Many studies have found a relationship between hepatic iron, serum ferritin, and...

Perception and Respiratory Responses of the Upper Airway Mechanism to Added Resistance With Aging.

OBJECTIVES: To assess breathing behaviors and perception of added respiratory loads in young compare...

Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with de...

Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones.

The potential  of telemedicine in respiratory health care has not been completely unveiled in part d...

Collaborative targeted learning using regression shrinkage.

Causal inference practitioners are routinely presented with the challenge of model selection and, in...

Pharmacological evaluation of smooth muscle relaxant and cardiac-modulation potential of Phyla nodiflora in ex-vivo and in-vivo experiments.

OBJECTIVE: To investigate the pharmacological basis of its uses of Phyla nodiflora (P. nodiflora) fo...

Lupus pneumonitis presenting with high titre of anti-Ro antibody.

Lupus pneumonitis carries high mortality and is a rare manifestation of systemic lupus erythematosus...

Loculated transudative pleural effusion masquerading as right upper lobe consolidation in a haemodialysis patient.

Pleural effusion is a common encounter in renal failure patients and frequently possess a diagnostic...

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

BACKGROUND: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction ...

A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network.

This paper presents a novel method for learning the cyclic contents of stochastic time series: the d...

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Healthcare as we know it is in the process of going through a massive change - from episodic to cont...

Serum mannan-binding lectin in patients with pulmonary tuberculosis: Its lack of a relationship to the disease and response to treatment.

Lectin pathway mediates complement activation, which is activated by many microorganisms. This stud...

Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as pr...

Prediction of lung cancer patient survival via supervised machine learning classification techniques.

Outcomes for cancer patients have been previously estimated by applying various machine learning tec...

A validated capillary electrophoretic method for the determination of indacaterol and its application to a pharmaceutical preparation.

Indacaterol is a new inhaled ultra-long acting β-agonist. It has been recently approved in the Europ...

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