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  • Open Access


    Data Analytics on Unpredictable Pregnancy Data Records Using Ensemble Neuro-Fuzzy Techniques

    C. Vairavel1,*, N. S. Nithya2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2159-2175, 2023, DOI:10.32604/csse.2023.036598

    Abstract The immune system goes through a profound transformation during pregnancy, and certain unexpected maternal complications have been correlated to this transition. The ability to correctly examine, diagnoses, and predict pregnancy-hastened diseases via the available big data is a delicate problem since the range of information continuously increases and is scalable. Many approaches for disease diagnosis/classification have been established with the use of data mining concepts. However, such methods do not provide an appropriate classification/diagnosis model. Furthermore, single learning approaches are used to create the bulk of these systems. Classification issues may be made more accurate by combining predictions from many… More >

  • Open Access


    An Automated System for Early Prediction of Miscarriage in the First Trimester Using Machine Learning

    Sumayh S. Aljameel1, Malak Aljabri1,2, Nida Aslam1, Dorieh M. Alomari3,*, Arwa Alyahya1, Shaykhah Alfaris1, Maha Balharith1, Hiessa Abahussain1, Dana Boujlea1, Eman S. Alsulmi4

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1291-1304, 2023, DOI:10.32604/cmc.2023.035710

    Abstract Currently, the risk factors of pregnancy loss are increasing and are considered a major challenge because they vary between cases. The early prediction of miscarriage can help pregnant ladies to take the needed care and avoid any danger. Therefore, an intelligent automated solution must be developed to predict the risk factors for pregnancy loss at an early stage to assist with accurate and effective diagnosis. Machine learning (ML)-based decision support systems are increasingly used in the healthcare sector and have achieved notable performance and objectiveness in disease prediction and prognosis. Thus, we developed a model to help obstetricians predict the… More >

  • Open Access


    Evaluation of Perinatal and Developmental Outcomes in Neonates with Abstinence Syndrome Admitted to NICU

    Ali Kheradmand1, Sahar Ashrafzadeh2, Farzane Rouzegari3, Samin Aliakbarian1, Ali Naseh4,*

    International Journal of Mental Health Promotion, Vol.25, No.2, pp. 265-274, 2023, DOI:10.32604/ijmhp.2023.024773

    Abstract Drug abuse by pregnant women is one of the significant problems for mothers and their neonates. This study aimed to investigate the effects of maternal substance use disorder during pregnancy on neonatal developmental criteria. In a case-control study, clinical records of 90 neonates diagnosed with neonatal abstinence syndrome who were admitted to NICU in one of four hospitals affiliated with Shahid-Beheshti University of Medical Sciences in Tehran, Iran between 2017 and 2020 were compared to 90 neonates without neonatal abstinence syndrome (control group). Demographic information and data for neonatal developmental characteristics and complications were extracted from the clinical records of… More >

  • Open Access


    Impact of SARS-CoV-2 infection during pregnancy on postnatal brain development: The potential role of glial cells


    BIOCELL, Vol.46, No.12, pp. 2517-2523, 2022, DOI:10.32604/biocell.2022.021566

    Abstract Glial cells are crucial for maintaining central nervous system (CNS) homeostasis. They actively participate in immune responses, as well as form functional barriers, such as blood-brain barrier (BBB), which restrict the entry of pathogens and inflammatory mediators into the CNS. In general, viral infections during the gestational period can alter the embryonic and fetal environment, and the related inflammatory response may affect neurodevelopment and lead to behavioral dysfunction during later stage of life, as highlighted by our group for Zika virus infection. Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) induces a cytokine storm and, during pregnancy, may be related to a… More >

  • Open Access


    Analysis of specific lipid metabolites in cord blood of patients with gestational diabetes mellitus


    BIOCELL, Vol.46, No.6, pp. 1565-1573, 2022, DOI:10.32604/biocell.2022.018347

    Abstract This work aimed to clarify the interaction between the fetus and pregnant patients with gestational diabetes mellitus (GDM), the lipid metabolomics analysis of the fetal umbilical cord blood of GDM patients and normal pregnant women were performed to screen out the specific lipid metabolites for pathogenesis of GDM. From 2019–2020, 21 patients with GDM and 22 normal pregnant women were enrolled in Hexian Memorial Hospital, Panyu District, Guangzhou. The general information such as weight, height, age, body mass index (BMI) before pregnancy were analyzed. Non-targeted metabonomic detection and analysis were performed in umbilical cord plasma using LC-MS method. The age,… More >

  • Open Access


    Pregnancy in Patients with Shone Complex: A Single-Center Case Series

    Rachel Gardner1, Emily Durbak1, Rachael Baird2, Katherine Singh2, Jeff Chapa2, David Majdalany3,*

    Congenital Heart Disease, Vol.17, No.2, pp. 147-160, 2022, DOI:10.32604/chd.2022.017366

    Abstract Background: There is limited literature written on the course and outcomes for pregnant mothers with Shone complex. Methods: We describe a case series of five pregnancies in four women with Shone complex within a multidisciplinary cardio-obstetrics clinic from 2016–2018. Results: Maternal age ranged from 21–39 years. Three patients had preserved left ventricular function while one had moderately decreased function. Gestational age at presentation ranged from 6–15 weeks. There were three successful pregnancies (mean gestational age = 37 weeks, range 35–39 weeks) with one patient accounting for two unsuccessful pregnancies. All infants were delivered via Cesarean section. One infant required a… More >

  • Open Access


    Small RNA sequencing revealed aberrant piRNA expression profiles in deciduas of recurrent spontaneous abortion patients


    BIOCELL, Vol.46, No.4, pp. 1013-1023, 2022, DOI:10.32604/biocell.2022.016744

    Abstract Piwi-interacting RNAs (piRNAs) is a novel class of non-coding RNAs. However, changes in piRNA expression profiles in recurrent spontaneous abortion (RSA) have not yet been investigated. The aim of this study was to identify differentially expressed piRNAs in deciduas of RSA patients. Decidua tissues were collected by curettage from recruited RSA patients and normal early pregnant (NEP) women with their informed consent. Small RNA sequencing was used to evaluate the differences in piRNA expression profiles between RSA and NEP. The present results demonstrated that the counts of total piRNA reads in RSA samples were increased compared with those in NEP… More >

  • Open Access


    A Pregnancy Prediction System based on Uterine Peristalsis from Ultrasonic Images

    Kentaro Mori1,*, Kotaro Kitaya2, Tomomoto Ishikawa2, Yutaka Hata3

    Intelligent Automation & Soft Computing, Vol.29, No.2, pp. 335-352, 2021, DOI:10.32604/iasc.2021.01010

    Abstract In infertility treatment, it is required to improve a success rate of the treatment. A purpose of this study is to develop a prediction system for pregnancy outcomes using ultrasonic images. In infertility treatment, it is typical to evaluate the endometrial shape by using ultrasonic images. The convolutional neural network (CNN) system developed in the current study predicted pregnancy outcome by velocity information. The velocity information has a movement feature of uterine. It is known that a uterine movement is deep related to infertility. Experiments compared the velocity-based and shape-based systems. The shape-based systems predict the optimal uterine features for… More >

  • Open Access


    Six-Year Outcome after Valve Replacement and Resynchronization Therapy in TGA Patient

    Jadranka Separovic Hanzevacki1, Marija Brestovac1,*, Vlatka Reskovic Luksic1, Blanka Glavas Konja1, Martina Lovric Bencic1, Josko Bulum1, Darko Anic2

    Congenital Heart Disease, Vol.16, No.5, pp. 469-475, 2021, DOI:10.32604/CHD.2021.015237

    Abstract Patients with complete transposition of the great arteries (TGA) treated by the Senning procedure have a higher risk of developing heart failure due to: a) additional work load of the systemic (morphologic right) ventricle (sRV), b) arrhythmias, mainly caused by surgical implications at the atria as well as c) worsening of systemic tricuspid regurgitation. We present a unique case of a female patient who developed all these complications, who was successfully treated and was able to carry out a twin pregnancy. This breakthrough approach was based on: 1. detecting reversibility potential of myocardial systolic dysfunction in a severe valvular lesion… More >

  • Open Access


    Successful Vaginal Delivery after Implantable Cardiac Defibrillator Placement for Management of Ventricular Tachycardia

    Sara Moufarrij1, Manisha Gandhi1, Wilson Lam2, Angeline Opina2,*

    Congenital Heart Disease, Vol.16, No.2, pp. 137-139, 2021, DOI:10.32604/CHD.2021.013165

    Abstract A 23-year-old female with Tetralogy of Fallot who is 30w6d pregnant presented with palpitations and syncope from an outside hospital. She was found to have ventricular tachycardia. Successful placement of a transvenous implantable cardiac defibrillator allowed for symptomatic control and a subsequent successful vaginal delivery. More >

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