BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 36896329)

  • 1. Screening the risk of obstructive sleep apnea by utilizing supervised learning techniques based on anthropometric features and snoring events.
    Tsai CY; Liu WT; Hsu WH; Majumdar A; Stettler M; Lee KY; Cheng WH; Wu D; Lee HC; Kuan YC; Wu CJ; Lin YC; Ho SC
    Digit Health; 2023; 9():20552076231152751. PubMed ID: 36896329
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Screening for Obstructive Sleep Apnea Risk by Using Machine Learning Approaches and Anthropometric Features.
    Tsai CY; Huang HT; Cheng HC; Wang J; Duh PJ; Hsu WH; Stettler M; Kuan YC; Lin YT; Hsu CR; Lee KY; Kang JH; Wu D; Lee HC; Wu CJ; Majumdar A; Liu WT
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433227
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning approaches for screening the risk of obstructive sleep apnea in the Taiwan population based on body profile.
    Tsai CY; Liu WT; Lin YT; Lin SY; Houghton R; Hsu WH; Wu D; Lee HC; Wu CJ; Li LYJ; Hsu SM; Lo CC; Lo K; Chen YR; Lin FC; Majumdar A
    Inform Health Soc Care; 2022 Oct; 47(4):373-388. PubMed ID: 34886766
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Polysomnography in patients with obstructive sleep apnea: an evidence-based analysis.
    Medical Advisory Secretariat
    Ont Health Technol Assess Ser; 2006; 6(13):1-38. PubMed ID: 23074483
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and application of a machine learning-based predictive model for obstructive sleep apnea screening.
    Liu K; Geng S; Shen P; Zhao L; Zhou P; Liu W
    Front Big Data; 2024; 7():1353469. PubMed ID: 38817683
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnosis of Obstructive Sleep Apnea Using Feature Selection, Classification Methods, and Data Grouping Based Age, Sex, and Race.
    Sheta A; Thaher T; Surani SR; Turabieh H; Braik M; Too J; Abu-El-Rub N; Mafarjah M; Chantar H; Subramanian S
    Diagnostics (Basel); 2023 Jul; 13(14):. PubMed ID: 37510161
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adults.
    Shi Y; Zhang Y; Cao Z; Ma L; Yuan Y; Niu X; Su Y; Xie Y; Chen X; Xing L; Hei X; Liu H; Wu S; Li W; Ren X
    BMC Med Inform Decis Mak; 2023 Oct; 23(1):230. PubMed ID: 37858225
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction model of obstructive sleep apnea-related hypertension: Machine learning-based development and interpretation study.
    Shi Y; Ma L; Chen X; Li W; Feng Y; Zhang Y; Cao Z; Yuan Y; Xie Y; Liu H; Yin L; Zhao C; Wu S; Ren X
    Front Cardiovasc Med; 2022; 9():1042996. PubMed ID: 36545020
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Obstructive Sleep Apnea: A Prediction Model Using Supervised Machine Learning Method.
    Keshavarz Z; Rezaee R; Nasiri M; Pournik O
    Stud Health Technol Inform; 2020 Jun; 272():387-390. PubMed ID: 32604683
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrating domain knowledge with machine learning to detect obstructive sleep apnea: Snore as a significant bio-feature.
    Hsu YC; Wang JD; Huang PH; Chien YW; Chiu CJ; Lin CY
    J Sleep Res; 2022 Apr; 31(2):e13487. PubMed ID: 34549473
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation Model for Insomnia Disorder and the Respiratory Arousal Threshold Phenotype in Obstructive Sleep Apnea in the Taiwanese Population Based on Oximetry and Anthropometric Features.
    Tsai CY; Kuan YC; Hsu WH; Lin YT; Hsu CR; Lo K; Hsu WH; Majumdar A; Liu YS; Hsu SM; Ho SC; Cheng WH; Lin SY; Lee KY; Wu D; Lee HC; Wu CJ; Liu WT
    Diagnostics (Basel); 2021 Dec; 12(1):. PubMed ID: 35054218
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation of NoSAS (Neck, Obesity, Snoring, Age, Sex) score as a screening tool for obstructive sleep apnea: Analysis in a sleep clinic.
    Coutinho Costa J; Rebelo-Marques A; Machado JN; Gama JMR; Santos C; Teixeira F; Moita J
    Pulmonology; 2019; 25(5):263-270. PubMed ID: 31196834
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using entropy of snoring, respiratory effort and electrocardiography signals during sleep for OSA detection and severity classification.
    Bahr-Hamm K; Abriani A; Anwar AR; Ding H; Muthuraman M; Gouveris H
    Sleep Med; 2023 Nov; 111():21-27. PubMed ID: 37714032
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning approach for obstructive sleep apnea screening using brain diffusion tensor imaging.
    Pang B; Doshi S; Roy B; Lai M; Ehlert L; Aysola RS; Kang DW; Anderson A; Joshi SH; Tward D; Scalzo F; Vacas S; Kumar R
    J Sleep Res; 2023 Feb; 32(1):e13729. PubMed ID: 36223645
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques.
    Kim YJ; Jeon JS; Cho SE; Kim KG; Kang SG
    Diagnostics (Basel); 2021 Mar; 11(4):. PubMed ID: 33808100
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can Statistical Machine Learning Algorithms Help for Classification of Obstructive Sleep Apnea Severity to Optimal Utilization of Polysomnography Resources?
    Bozkurt S; Bostanci A; Turhan M
    Methods Inf Med; 2017 Aug; 56(4):308-318. PubMed ID: 28590499
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting Polysomnography Parameters from Anthropometric Features and Breathing Sounds Recorded during Wakefulness.
    Elwali A; Moussavi Z
    Diagnostics (Basel); 2021 May; 11(5):. PubMed ID: 34069566
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor.
    Erdenebayar U; Park JU; Jeong P; Lee KJ
    J Korean Med Sci; 2017 Jun; 32(6):893-899. PubMed ID: 28480645
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators.
    Huang J; Zhuang J; Zheng H; Yao L; Chen Q; Wang J; Fan C
    Nat Sci Sleep; 2024; 16():413-428. PubMed ID: 38699466
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.