These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
333 related articles for article (PubMed ID: 32662348)
1. Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease. Chu R; Chen W; Song G; Yao S; Xie L; Song L; Zhang Y; Chen L; Zhang X; Ma Y; Luo X; Liu Y; Sun P; Zhang S; Fang Y; Dong T; Zhang Q; Peng J; Zhang L; Wei Y; Zhang W; Su X; Qiao X; Song K; Yang X; Kong B J Am Heart Assoc; 2020 Jul; 9(14):e016371. PubMed ID: 32662348 [TBL] [Abstract][Full Text] [Related]
2. A predictive model of offspring congenital heart disease based on maternal risk factors during pregnancy: a hospital based case-control study in Nanchong City. Liang Y; Li X; Hu X; Wen B; Wang L; Wang C Int J Med Sci; 2020; 17(18):3091-3097. PubMed ID: 33173430 [No Abstract] [Full Text] [Related]
3. Prediction of pulmonary pressure after Glenn shunts by computed tomography-based machine learning models. Huang L; Li J; Huang M; Zhuang J; Yuan H; Jia Q; Zeng D; Que L; Xi Y; Lin J; Dong Y Eur Radiol; 2020 Mar; 30(3):1369-1377. PubMed ID: 31705256 [TBL] [Abstract][Full Text] [Related]
4. Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability. Shimizu GY; Schrempf M; Romão EA; Jauk S; Kramer D; Rainer PP; Cardeal da Costa JA; de Azevedo-Marques JM; Scarpelini S; Suzuki KMF; César HV; de Azevedo-Marques PM PLoS One; 2024; 19(10):e0311719. PubMed ID: 39392843 [TBL] [Abstract][Full Text] [Related]
5. Fetal health status prediction based on maternal clinical history using machine learning techniques. Akbulut A; Ertugrul E; Topcu V Comput Methods Programs Biomed; 2018 Sep; 163():87-100. PubMed ID: 30119860 [TBL] [Abstract][Full Text] [Related]
6. A systematic comparison of machine learning algorithms to develop and validate prediction model to predict heart failure risk in middle-aged and elderly patients with periodontitis (NHANES 2009 to 2014). Wang Y; Xiao Y; Zhang Y Medicine (Baltimore); 2023 Aug; 102(34):e34878. PubMed ID: 37653785 [TBL] [Abstract][Full Text] [Related]
7. Machine learning approach to investigate pregnancy and childbirth risk factors of sleep problems in early adolescence: Evidence from two cohort studies. Dai Y; Buttenheim AM; Pinto-Martin JA; Compton P; Jacoby SF; Liu J Comput Methods Programs Biomed; 2024 Nov; 256():108402. PubMed ID: 39226843 [TBL] [Abstract][Full Text] [Related]
8. Prospective validation and assessment of cardiovascular and offspring risk models for pregnant women with congenital heart disease. Balci A; Sollie-Szarynska KM; van der Bijl AG; Ruys TP; Mulder BJ; Roos-Hesselink JW; van Dijk AP; Wajon EM; Vliegen HW; Drenthen W; Hillege HL; Aarnoudse JG; van Veldhuisen DJ; Pieper PG; Heart; 2014 Sep; 100(17):1373-81. PubMed ID: 25034822 [TBL] [Abstract][Full Text] [Related]
9. Cardiac risk prediction model for pregnant women with structural heart disease in Eastern China. Fu Q; Wang XJ; Wang BS; Lin JH Int J Gynaecol Obstet; 2019 Jun; 145(3):324-330. PubMed ID: 30932184 [TBL] [Abstract][Full Text] [Related]
10. Risk-prediction nomogram for congenital heart disease in offspring of Chinese pregnant women. Qu P; Zhang S; Chen J; Li X; Zhao D; Liu D; Shen M; Yan H; Pei L; Dang S BMC Pregnancy Childbirth; 2024 Jul; 24(1):509. PubMed ID: 39068423 [TBL] [Abstract][Full Text] [Related]
11. Maternal Comorbidities and Complications of Delivery in Pregnant Women With Congenital Heart Disease. Schlichting LE; Insaf TZ; Zaidi AN; Lui GK; Van Zutphen AR J Am Coll Cardiol; 2019 May; 73(17):2181-2191. PubMed ID: 31047006 [TBL] [Abstract][Full Text] [Related]
12. Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study. Huang G; Jin Q; Mao Y J Med Internet Res; 2023 Sep; 25():e46891. PubMed ID: 37698911 [TBL] [Abstract][Full Text] [Related]
13. Peripartum outcomes in a large population of women with pulmonary arterial hypertension associated with congenital heart disease. Li Q; Dimopoulos K; Liu T; Xu Z; Liu Q; Li Y; Zhang J; Gu H Eur J Prev Cardiol; 2019 Jul; 26(10):1067-1076. PubMed ID: 30971116 [TBL] [Abstract][Full Text] [Related]
14. Prediction model development of late-onset preeclampsia using machine learning-based methods. Jhee JH; Lee S; Park Y; Lee SE; Kim YA; Kang SW; Kwon JY; Park JT PLoS One; 2019; 14(8):e0221202. PubMed ID: 31442238 [TBL] [Abstract][Full Text] [Related]
15. Cardiovascular and Neonatal Outcomes in Pregnant Women With High-Risk Congenital Heart Disease. Pillutla P; Nguyen T; Markovic D; Canobbio M; Koos BJ; Aboulhosn JA Am J Cardiol; 2016 May; 117(10):1672-1677. PubMed ID: 27055756 [TBL] [Abstract][Full Text] [Related]
16. Pregnancy outcomes and relative risk factors among Chinese women with congenital heart disease. Liu H; Huang T; Zhao W; Shen Y; Lin J Int J Gynaecol Obstet; 2013 Mar; 120(3):245-8. PubMed ID: 23245675 [TBL] [Abstract][Full Text] [Related]
17. Predictive accuracy of three clinical risk assessment systems for cardiac complications among Chinese pregnant women with congenital heart disease. Fu Q; Lin J Int J Gynaecol Obstet; 2016 Aug; 134(2):140-4. PubMed ID: 27177511 [TBL] [Abstract][Full Text] [Related]
18. Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease. Wang C; Chen X; Du L; Zhan Q; Yang T; Fang Z Comput Methods Programs Biomed; 2020 May; 188():105267. PubMed ID: 31841787 [TBL] [Abstract][Full Text] [Related]
19. Prediction of Acute Respiratory Distress Syndrome in Traumatic Brain Injury Patients Based on Machine Learning Algorithms. Wang R; Cai L; Zhang J; He M; Xu J Medicina (Kaunas); 2023 Jan; 59(1):. PubMed ID: 36676795 [No Abstract] [Full Text] [Related]
20. Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study. Tong C; Du X; Chen Y; Zhang K; Shan M; Shen Z; Zhang H; Zheng J Int J Surg; 2024 Apr; 110(4):2207-2216. PubMed ID: 38265429 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]