Reply to Dolu, K.O. Comment on "Topaloglu et al. Machine Learning-Driven Lung Sound Analysis: Novel Methodology for Asthma Diagnosis. Adv. Respir. Med. 2025, 93, 32".
Saved in:
| Title: | Reply to Dolu, K.O. Comment on "Topaloglu et al. Machine Learning-Driven Lung Sound Analysis: Novel Methodology for Asthma Diagnosis. Adv. Respir. Med. 2025, 93, 32". |
|---|---|
| Authors: | Topaloglu I; Department of Pulmonology, Faculty of Medicine, Kafkas University, 36000 Kars, Turkey., Ozduygu G; Department of Pulmonology, Faculty of Medicine, Kafkas University, 36000 Kars, Turkey., Atasoy C; Department of Pulmonology, Faculty of Medicine, Kafkas University, 36000 Kars, Turkey., Batıhan G; Department of Thoracic Surgery, Faculty of Medicine, Kafkas University, 36000 Kars, Turkey., Serce D; Department of Pulmonology, Faculty of Medicine, Health Sciences University, Izmir City Hospital, 35620 Izmir, Turkey., Inanc G; Faculty of Medicine, Kafkas University, 36000 Kars, Turkey., Güçsav MO; Department of Pulmonology, Faculty of Medicine, Bakırçay University, 35665 Izmir, Turkey., Yıldız AM; Department of Computer Engineering, Faculty of Engineering, Ardahan University, 75000 Ardahan, Turkey., Tuncer T; Department of Computer Engineering, Faculty of Engineering, Ardahan University, 75000 Ardahan, Turkey., Dogan S; Department of Digital Forensics Engineering, College of Technology, Firat University, 23119 Elazig, Turkey., Barua PD; School of Business (Information System), University of Southern Queensland, Toowoomba, QLD 4350, Australia. |
| Source: | Advances in respiratory medicine [Adv Respir Med] 2026 Feb 28; Vol. 94 (2). Date of Electronic Publication: 2026 Feb 28. |
| Publication Type: | Comment; Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101697329 Publication Model: Electronic Cited Medium: Internet ISSN: 2543-6031 (Electronic) Linking ISSN: 24514934 NLM ISO Abbreviation: Adv Respir Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2543-6031 |
|---|---|
| DOI: | 10.3390/arm94020016 |
