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431 related items for PubMed ID: 37858225
1. 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 19; 23(1):230. PubMed ID: 37858225 [Abstract] [Full Text] [Related]
2. 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 Oct 19; 9():1042996. PubMed ID: 36545020 [Abstract] [Full Text] [Related]
3. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery. Chen X, Pan J, Li Y, Tang R. Aging Clin Exp Res; 2023 Nov 19; 35(11):2643-2656. PubMed ID: 37733228 [Abstract] [Full Text] [Related]
4. 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 Nov 19; 7():1353469. PubMed ID: 38817683 [Abstract] [Full Text] [Related]
5. Predicting the Risk of Sleep Disorders Using a Machine Learning-Based Simple Questionnaire: Development and Validation Study. Ha S, Choi SJ, Lee S, Wijaya RH, Kim JH, Joo EY, Kim JK. J Med Internet Res; 2023 Sep 21; 25():e46520. PubMed ID: 37733411 [Abstract] [Full Text] [Related]
8. Machine learning-Based model for prediction of Narcolepsy Type 1 in Patients with Obstructive Sleep Apnea with Excessive Daytime Sleepiness. Pan Y, Zhao D, Zhang X, Yuan N, Yang L, Jia Y, Guo Y, Chen Z, Wang Z, Qu S, Bao J, Liu Y. Nat Sci Sleep; 2024 Sep 21; 16():639-652. PubMed ID: 38836216 [Abstract] [Full Text] [Related]
9. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study. Wang J, Chen H, Wang H, Liu W, Peng D, Zhao Q, Xiao M. J Med Internet Res; 2023 Apr 06; 25():e43815. PubMed ID: 37023416 [Abstract] [Full Text] [Related]
10. Prediction Model of Ocular Metastases in Gastric Adenocarcinoma: Machine Learning-Based Development and Interpretation Study. Zou J, Shen YK, Wu SN, Wei H, Li QJ, Xu SH, Ling Q, Kang M, Liu ZL, Huang H, Chen X, Wang YX, Liao XL, Tan G, Shao Y. Technol Cancer Res Treat; 2024 Apr 06; 23():15330338231219352. PubMed ID: 38233736 [Abstract] [Full Text] [Related]
11. Stratifying the Risk of Cardiovascular Disease in Obstructive Sleep Apnea Using Machine Learning. Gourishetti SC, Taylor R, Isaiah A. Laryngoscope; 2022 Jan 06; 132(1):234-241. PubMed ID: 34487556 [Abstract] [Full Text] [Related]
12. Combination of symptoms and oxygen desaturation index in predicting childhood obstructive sleep apnea. Chang L, Wu J, Cao L. Int J Pediatr Otorhinolaryngol; 2013 Mar 06; 77(3):365-71. PubMed ID: 23246417 [Abstract] [Full Text] [Related]
14. Logistic regression and artificial neural network-based simple predicting models for obstructive sleep apnea by age, sex, and body mass index. Kuan YC, Hong CT, Chen PC, Liu WT, Chung CC. Math Biosci Eng; 2022 Aug 10; 19(11):11409-11421. PubMed ID: 36124597 [Abstract] [Full Text] [Related]
16. Diagnosis of obstructive sleep apnea in children based on the XGBoost algorithm using nocturnal heart rate and blood oxygen feature. Ye P, Qin H, Zhan X, Wang Z, Liu C, Song B, Kong Y, Jia X, Qi Y, Ji J, Chang L, Ni X, Tai J. Am J Otolaryngol; 2023 Aug 10; 44(2):103714. PubMed ID: 36738700 [Abstract] [Full Text] [Related]
17. Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): The challenge to predict OSA in advanced COPD. Soler X, Liao SY, Marin JM, Lorenzi-Filho G, Jen R, DeYoung P, Owens RL, Ries AL, Malhotra A. PLoS One; 2017 Aug 10; 12(5):e0177289. PubMed ID: 28510598 [Abstract] [Full Text] [Related]
18. Enabling Early Obstructive Sleep Apnea Diagnosis With Machine Learning: Systematic Review. Ferreira-Santos D, Amorim P, Silva Martins T, Monteiro-Soares M, Pereira Rodrigues P. J Med Internet Res; 2022 Sep 30; 24(9):e39452. PubMed ID: 36178720 [Abstract] [Full Text] [Related]
19. A Nomogram for Predicting the Likelihood of Obstructive Sleep Apnea to Reduce the Unnecessary Polysomnography Examinations. Luo M, Zheng HY, Zhang Y, Feng Y, Li DQ, Li XL, Han JF, Li TP. Chin Med J (Engl); 2015 Aug 20; 128(16):2134-40. PubMed ID: 26265604 [Abstract] [Full Text] [Related]
20. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation. Huang J, Chen H, Deng J, Liu X, Shu T, Yin C, Duan M, Fu L, Wang K, Zeng S. Front Neurol; 2023 Aug 20; 14():1185447. PubMed ID: 37614971 [Abstract] [Full Text] [Related] Page: [Next] [New Search]