Varada Rajkumar Kukkala¹, Surapaneni Phani Praveen², Naga Satya Koti Mani Kumar Tirumanadham³, Parvathaneni Naga Srinivasu^4,5,*

Computer Systems Science and Engineering, Vol.48, No.5, pp. 1085-1112, 2024, DOI:10.32604/csse.2024.053603 - 13 September 2024

Abstract This paper investigates the application of machine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely; Z-Score incorporated with Grey Wolf Optimization (GWO) as well as Interquartile Range (IQR) coupled with Ant Colony Optimization (ACO). Using a performance index, it is shown that when compared with the Z-Score and GWO with AdaBoost, the IQR and ACO, with AdaBoost are not very accurate (89.0% vs. 86.0%) and less discriminative (Area Under the Curve (AUC) score of 93.0% vs. 91.0%). The Z-Score and GWO… More >

Marcio Fragoso Vieira^1,2, Nathalie Jeanne Bravo-Valenzuela³, Edward Araujo Júnior^1,*

Congenital Heart Disease, Vol.19, No.3, pp. 305-314, 2024, DOI:10.32604/chd.2024.053484 - 26 July 2024

Abstract Congenital heart disease (CHD) is the most common type of birth defect, representing a significant cause of perinatal morbidity and mortality. Early diagnosis of such anomalies is crucial for improving outcomes. Current protocols recommend a qualitative assessment of cardiac structures using two-dimensional ultrasound (2DUS) and color Doppler imaging. In cases of suspected abnormalities, quantitative assessments through cardiac structure measurements and reference curves can aid in accurate diagnosis. Similar to centiles widely employed in obstetrics, Z-scores provide more precise quantification of various cardiac structures, particularly at the extremes of the curve. While the development of reference More >

Xinyan Li¹, Xiaoxia Qiu¹, Huan Huang¹, Yili Zhao², Xueqin Li¹, Meng Li¹, Xiaoxian Tian¹

Congenital Heart Disease, Vol.13, No.2, pp. 282-287, 2018, DOI:10.1111/chd.12568

Abstract Objective: To evaluate the efficacy of using fetal heart size measurements derived from axial echocardiography to predict homozygous α-thalassemia-1.
Design: Prospective diagnostic study.
Setting: The carrier rate of α-thalassemia-1 (–/αα) in China’s Guangxi Zhuang Autonomous Region is approximately 15%. If both parents are carriers, the risk of homozygous a-thalassemia-1 in one pregnancy is 25%.
Patients: Singleton mid-pregnancies at risk of homozygous α-thalassemia-1 were enrolled.
Outcome Measures: Fetal heart measurements, including heart diameter (HD), heart length (HL), heart circumference (HC), and heart area (HA), were measured. The z-scores for these heart parameters were then calculated separately based on previously constructed z-score… More >