BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 37889830)

  • 1. Automated Cough Sound Analysis for Detecting Childhood Pneumonia.
    Sharan RV; Qian K; Yamamoto Y
    IEEE J Biomed Health Inform; 2024 Jan; 28(1):193-203. PubMed ID: 37889830
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting Childhood Pneumonia Using Handcrafted and Deep Learning Cough Sound Features and Multilayer Perceptron
    Sharan RV; Qian K; Yamamoto Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083528
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cough sound analysis can rapidly diagnose childhood pneumonia.
    Abeyratne UR; Swarnkar V; Setyati A; Triasih R
    Ann Biomed Eng; 2013 Nov; 41(11):2448-62. PubMed ID: 23743558
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Cough sound analysis - a new tool for diagnosing pneumonia.
    Abeyratne UR; Swarnkar V; Triasih R; Setyati A
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5216-9. PubMed ID: 24110911
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detecting acute respiratory diseases in the pediatric population using cough sound features and machine learning: A systematic review.
    Sharan RV; Rahimi-Ardabili H
    Int J Med Inform; 2023 Aug; 176():105093. PubMed ID: 37224643
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory disorders in children.
    Porter P; Abeyratne U; Swarnkar V; Tan J; Ng TW; Brisbane JM; Speldewinde D; Choveaux J; Sharan R; Kosasih K; Della P
    Respir Res; 2019 Jun; 20(1):81. PubMed ID: 31167662
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Wavelet augmented cough analysis for rapid childhood pneumonia diagnosis.
    Kosasih K; Abeyratne UR; Swarnkar V; Triasih R
    IEEE Trans Biomed Eng; 2015 Apr; 62(4):1185-94. PubMed ID: 25532164
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and technical validation of a smartphone-based pediatric cough detection algorithm.
    Kruizinga MD; Zhuparris A; Dessing E; Krol FJ; Sprij AJ; Doll RJ; Stuurman FE; Exadaktylos V; Driessen GJA; Cohen AF
    Pediatr Pulmonol; 2022 Mar; 57(3):761-767. PubMed ID: 34964557
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Denoising Cough Sound Recordings Using Neural Networks
    Jose L; Berkovsky S; Xiong H; Mascolo C; Sharan RV
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082867
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Neural Network-Based Respiratory Pathology Classification Using Cough Sounds.
    Balamurali BT; Hee HI; Kapoor S; Teoh OH; Teng SS; Lee KP; Herremans D; Chen JM
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450996
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diagnosis of Pneumonia by Cough Sounds Analyzed with Statistical Features and AI.
    Chung Y; Jin J; Jo HI; Lee H; Kim SH; Chung SJ; Yoon HJ; Park J; Jeon JY
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770341
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The diagnosis of respiratory disease in children using a phone-based cough and symptom analysis algorithm: The smartphone recordings of cough sounds 2 (SMARTCOUGH-C 2) trial design.
    Moschovis PP; Sampayo EM; Cook A; Doros G; Parry BA; Lombay J; Kinane TB; Taylor K; Keating T; Abeyratne U; Porter P; Carl J
    Contemp Clin Trials; 2021 Feb; 101():106278. PubMed ID: 33444779
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Neural network based algorithm for automatic identification of cough sounds.
    Swarnkar V; Abeyratne UR; Amrulloh Y; Hukins C; Triasih R; Setyati A
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1764-7. PubMed ID: 24110049
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Can Acute Cough Characteristics From Sound Recordings Differentiate Common Respiratory Illnesses in Children?: A Comparative Prospective Study.
    Bisballe-Müller N; Chang AB; Plumb EJ; Oguoma VM; Halken S; McCallum GB
    Chest; 2021 Jan; 159(1):259-269. PubMed ID: 32653569
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Leveraging AI and Machine Learning to Develop and Evaluate a Contextualized User-Friendly Cough Audio Classifier for Detecting Respiratory Diseases: Protocol for a Diagnostic Study in Rural Tanzania.
    Isangula KG; Haule RJ
    JMIR Res Protoc; 2024 Apr; 13():e54388. PubMed ID: 38652526
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying unique spectral fingerprints in cough sounds for diagnosing respiratory ailments.
    Ghrabli S; Elgendi M; Menon C
    Sci Rep; 2024 Jan; 14(1):593. PubMed ID: 38182601
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Cough-Based Algorithm for Automatic Diagnosis of Pertussis.
    Pramono RX; Imtiaz SA; Rodriguez-Villegas E
    PLoS One; 2016; 11(9):e0162128. PubMed ID: 27583523
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A study of using cough sounds and deep neural networks for the early detection of Covid-19.
    Islam R; Abdel-Raheem E; Tarique M
    Biomed Eng Adv; 2022 Jun; 3():100025. PubMed ID: 35013733
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A classification framework for identifying bronchitis and pneumonia in children based on a small-scale cough sounds dataset.
    Liao S; Song C; Wang X; Wang Y
    PLoS One; 2022; 17(10):e0275479. PubMed ID: 36301797
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated algorithm for Wet/Dry cough sounds classification.
    Swarnkar V; Abeyratne UR; Amrulloh YA; Chang A
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():3147-50. PubMed ID: 23366593
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.