Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier

Kanwal, Kehkashan; Khalid, Syed Ghufran; Asif, Muhammad; Zafar, Farhana; Qurashi, Aisha Ghazal

doi:10.1016/j.bspc.2023.105367

Biomedical Signal Processing and Control

2024

DOI: 10.1016/j.bspc.2023.105367

|View full text |Cite

Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier

Kehkashan Kanwal,

Syed Ghufran Khalid,

Muhammad Asif

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Improving multi-class classification: scaled extensions of harmonic mean-based adaptive k-nearest neighbors

Açıkkar,

Tokgöz

2024

Appl Intell

View full text Add to dashboard Cite

Improving multi-class classification: scaled extensions of harmonic mean-based adaptive k-nearest neighbors

Açıkkar,

Tokgöz

2024

Appl Intell

View full text Add to dashboard Cite

The prediction of NICU admission and identifying influential factors in four different categories leveraging machine learning approaches

Tashakkori,

Mozdgir,

Karimi

et al. 2024

Biomedical Signal Processing and Control

View full text Add to dashboard Cite

Current Diagnostic Techniques for Pneumonia: A Scoping Review

Kanwal,

Asif,

Khalid

et al. 2024

Sensors

View full text Add to dashboard Cite

Community-acquired pneumonia is one of the most lethal infectious diseases, especially for infants and the elderly. Given the variety of causative agents, the accurate early detection of pneumonia is an active research area. To the best of our knowledge, scoping reviews on diagnostic techniques for pneumonia are lacking. In this scoping review, three major electronic databases were searched and the resulting research was screened. We categorized these diagnostic techniques into four classes (i.e., lab-based methods, imaging-based techniques, acoustic-based techniques, and physiological-measurement-based techniques) and summarized their recent applications. Major research has been skewed towards imaging-based techniques, especially after COVID-19. Currently, chest X-rays and blood tests are the most common tools in the clinical setting to establish a diagnosis; however, there is a need to look for safe, non-invasive, and more rapid techniques for diagnosis. Recently, some non-invasive techniques based on wearable sensors achieved reasonable diagnostic accuracy that could open a new chapter for future applications. Consequently, further research and technology development are still needed for pneumonia diagnosis using non-invasive physiological parameters to attain a better point of care for pneumonia patients.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Diagnosis of Community-Acquired pneumonia in children using photoplethysmography and Machine learning-based classifier

Cited by 3 publications

References 51 publications

Improving multi-class classification: scaled extensions of harmonic mean-based adaptive k-nearest neighbors

Improving multi-class classification: scaled extensions of harmonic mean-based adaptive k-nearest neighbors

The prediction of NICU admission and identifying influential factors in four different categories leveraging machine learning approaches

Current Diagnostic Techniques for Pneumonia: A Scoping Review

Contact Info

Product

Resources

About