Latest AI and machine learning research in asthma for healthcare professionals.
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on in...
Artificial intelligence (AI) when coupled with large amounts of well characterised data can yield mo...
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies h...
BACKGROUND: Asthma exacerbation is an acute or subacute episode of progressive worsening of asthma s...
INTRODUCTION: Most asthma attacks and subsequent deaths are potentially preventable. We aim to devel...
BACKGROUND: Adequate self-management skills are of great importance for patients with chronic obstru...
In the last decade essential oils have attracted scientists with a constant increase rate of more th...
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) durin...
Intelligent medical diagnosis has become common in the era of big data, although this technique has ...
Effective management of chronic constrictive pulmonary conditions lies in proper and timely administ...
PURPOSE: The authors have previously shown the feasibility of using an artificial neural network (AN...
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore,...
The primary objective of this paper is to build classification models and strategies to identify bre...
: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in parti...
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global I...
Rapid diagnostic technologies for bovine mastitis caused by () are urgently needed. In the current ...
'Asthma' is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. R...
The wide adoption of electronic health record systems in health care generates big real-world data t...
Ferroelectric HfZrO (Fe-HZO) with a larger remnant polarization () is achieved by using a poly-GeSn ...
Machine learning (ML) is poised as a transformational approach uniquely positioned to discover the h...
INTRODUCTION: infection is a well-established etiological factor for a variety of diseases such as ...