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An Intelligent Gestational Diabetes Diagnosis Model Using Deep Stacked Autoencoder

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Computers, Materials & Continua 2021年第12期69卷 3109-3126页

作者： A.Sumathi S.Meganathan BVijila Ravisankar SRC SASTRA Deemed to be UniversityKumbakonamTamil Nadu612001India consultant obstetrician and Gynecologist Anbu Hospital and Nalam ClinicKumbakonamTamil Nadu612001India

Gestational Diabetes Mellitus(GDM)is one of the commonly occurring diseases among women during *** Glucose Tolerance Test(OGTT)is followed universally in the diagnosis of GDM diagnosis at early pregnancy which is costly and ***,there is a need to design an effective and automated GDM diagnosis and classification *** recent developments in the field of Deep Learning(DL)are useful in diagnosing different *** this view,the current research article presents a new outlier detection with deep-stacked Autoencoder(OD-DSAE)model for GDM diagnosis and *** goal of the proposed OD-DSAE model is to find out those mothers with high risks and make them undergo earlier diagnosis,monitoring,and treatment compared to low-risk *** presented ODDSAE model involves three major processes namely,preprocessing,outlier detection,and *** the first step i.e.,data preprocessing,there exists three stages namely,format conversion,class labelling,and missing value replacement using k-nearest neighbors(KNN)*** are superior values which considerably varies from other data ***,it might represent the variability in measurement,experimental errors or novelty ***,Hierarchical Clustering(HC)-based outlier detection technique is incorporated in OD-DSAE model,and thereby classification performance can be *** proposed model was simulated using Python 3.6.5 on a dataset collected by the researcher themselves.A series of experiments was conducted and the results were investigated under different *** experimental outcomes inferred that the OD-DSAE model has outperformed the compared methods and achieved high precision of 96.17%,recall of 98.69%,specificity of 89.50%,accuracy of 96.18%,and F-score of 97.41%.

关键词： Gestational diabetes mellitus data classification outlier detection deep learning hierarchical clustering

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男性不育症的治疗效果

中国循证医学杂志 2005年第8期5卷 646-647页

作者： Kirsten Duckitt 杨培峰 consultant obstetrician and gynaecologist John Radcliffe Hospital Oxford U

①供体授精:我们发现,在供体授精的效果方面,尚缺乏高质量证据。②胞浆内精子注射+体外授精:1篇系统评价发现,尚无足够的证据说明胞浆内精子注射+体外授精与单独使用体外授精何者效果更好。③宫腔内人工授精:两篇系统评价发现,宫腔内人... 详细信息

①供体授精:我们发现,在供体授精的效果方面,尚缺乏高质量证据。②胞浆内精子注射+体外授精:1篇系统评价发现,尚无足够的证据说明胞浆内精子注射+体外授精与单独使用体外授精何者效果更好。③宫腔内人工授精:两篇系统评价发现,宫腔内人工授精较宫颈内授精或自然性交,能明显增加每个周期的妊娠率。④体外授精与配子输卵管内移植:1个RCT显示,尚无足够证据证明体外授精与配子输卵管内移植何者效果更好。

关键词：男性不育症治疗临床证据体外授精

Comparison of Transvaginal Ultrasound, Saline Infusion Sonohysterography versus Diagnostic Hysteroscopy in Evaluation of Endometrial Cavity Pathology amongst Women with Abnormal Uterine Bleeding in Low Resource Setting

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Open Journal of Obstetrics and Gynecology 2020年第5期10卷 644-656页

作者： Jayni Dedhia Gichuhi J.Wanyoike Ojwang B.Shadrack Madadi M.Obimbo Rafique B.Parkar Elijah Kwasa Department of Obstetrics&Gynaecology University of NairobiNairobiKenya Department of Anatomy University of NairobiNairobiKenya consultant obstetrician&Gynecologist NairobiKenya consultant Radiologist NairobiKenya

Introduction: Hysteroscopy is currently the gold-standard protocol for evaluating patients with abnormal uterine bleeding (AUB). Unfortunately, though accurate, its adoption in low-resource countries such as in Africa is limited due to lack of equipment and qualified personnel. As such, there is a need for an alternative diagnostic procedure that is as accurate as hysteroscopy, but also affordable, easy to administer, and acceptable by women with endometrial pathologies. Transvaginal Sonography (TVS) and Saline Infusion Sonohysterography (SIS) are proposed. However, their diagnostic accuracy versus hysteroscopy has not been determined in low resource setting. Objective: To compare the diagnostic efficacy of TVS and SIS versus diagnostic hysteroscopy in evaluation of endometrial pathology among pre-menopausal and post-menopausal women and to determine the etiology of AUB amongst these women. Methodology: A prospective cohort study was done at a hospital in Nairobi, Kenya between May and September 2019. Forty patients with AUB were recruited using consecutive sampling, and women who consented were recruited. The etiology of AUB was recorded. All participants underwent TVS, SIS and Diagnostic Hysteroscopy (DH) evaluation in the first half of the menstrual cycle and the findings recorded on a patient’s information sheet. The sociodemographic and bleeding characteristics of patients and the outcomes of TVS, SIS, and DH evaluations were also recorded and the data was analysed using version 5 of the Software for Statistics and Data Science (STATA). Summary statistics on the etiology of AUB were presented and the sensitivity of TVS and SIS versus DH as the gold-standard evaluated using two by two tables and the ROC curve. Results: The mean age of participants was 38.1 ± 8.8 years, range of 25 - 71 years. Heavy Menstrual Bleeding (HMB) was reported in 70.0% of participants, while about 12.0%, 7.5%, and 7.5% had post-menopausal bleeding, amenorrhea, and hypomenorrhea. The inc

关键词： Abnormal Uterine Bleeding Transvaginal Sonography Saline Infusion Sonohysterography Hysteroscopy

Repeat OGTT at 34 - 36 Weeks to Detect the Late Occurrence of GDM: A Descriptive Cross-Sectional Study Conducted at the Professorial Unit, Teaching Hospital Peradeniya, Sri Lanka

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Advances in Reproductive Sciences 2020年第3期8卷 157-165页

作者： Chaminda Kandauda W. M. M. P. B. Wanasinghe consultant obstetrician & Gynecologist Department of Obstetrics & Gynecology University of Peradeniya Kandy Sri Lanka Senior Registrar Obstetrics and Gynecology Institute of Medicine University of Colombo Colombo Sri Lanka

Aim: Evaluation of the occurrence of glucose intolerance after 34 - 36 weeks in pregnant mothers attending the Teaching Hospital, Peradeniya. Materials & Method: This is a descriptive cross-sectional study carried out from October 2017 to March 2018 among 183 pregnant mothers attending antenatal clinic at Teaching Hospital Peradeniya. After informed consent a repeat Oral Glucose Tolerance Test (OGTT) was done among the pregnant mothers, at period of amenorrhoea of 34 - 36 weeks, whose initial OGTT values were normal. Gestational diabetes was diagnosed according to the NICE guideline cut off values and the percentage of late occurrence of Gestational diabetes (GDM) was analyzed. Results: Mean age of the population was 29.1 years and the age range in this group was 18 to 45 years and the majority (73.9%) of women were primipara. There were 3.3% of teenage pregnancies and 14% of mothers were over 35 years. Majority (59.7%) of mothers underwent repeat OGTT test at 34 weeks of gestation and the rest (40.3%) underwent test between 34 to 36 weeks of gestation. Although the mean BMI was 23.74, 9.7% of mothers were obese (>30 kg/m2), 30.3% of mothers were pre-obese (25.0 - 29.9 kg/m2). 8.2% of mothers were diagnosed with Gestational diabetes at 34 - 36 weeks whose initial OGTT values were normal. Conclusion: In view of reducing feto-maternal morbidity and mortality, considering a repeat OGTT at a later gestation (34 - 36 weeks of gestation) should be considered in mothers, whose initial OGTT values are normal as Sri Lanka is a high risk country for GDM. Clinical Significance: The study may play an important role in guideline alteration process and screening for gestational diabetes in Sri Lankan set-up.

关键词： Gestational Diabetes Oral Glucose Tolerance Test Sri Lanka Maternal and Perinatal Morbidity

The Prevalence of High Grade Cervical Intraepithelial Neoplasia (CIN) in a Primary Human Papillomavirus (HPV) Cervical Screening Programme Population with HPV Positive and Cytology Negative Smear Results

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Open Journal of Obstetrics and Gynecology 2020年第7期10卷 902-908页

作者： Simon G. Williams Ayesha Anwar Sachinta G. Wijesiri Sangeetha Palaparthy Emma Winter Specialty Trainee in O&G South Tyneside and Sunderland NHS Foundation Trust Sunderland UK consultant obstetrician and gynaecologist North Cumbria Integrated Care NHS Foundation Trust Carlisle UK Specialty Trainee in O&G County Durham and Darlington NHS Foundation Trust Durham UK Specialty Trainee in O&G Queen Elizabeth University Hospital Glasgow UK Specialty Doctor in Gynaecology and Colposcopy Services North Cumbria Integrated Care NHS Trust Carlisle UK

High-risk HPV is found in 99.7% of cervical cancers. The causative role of HPV in cervical cancer has led to the inclusion of HPV testing as part of cervical screening. A pilot of HPV testing as primary screening was commenced in 2013 at six pilot sites in England. North Cumbria Integrated Care (NCIC) NHS Foundation Trust took part in the pilot, in which women with an HPV-positive/cytology-negative result were recalled at 12 months. Women with HPV type 16/18 found at initial screening and persisting at 12 months in spite of negative cytology were referred to Colposcopy services at 12 months. Women with smear positive for hrHPV other than 16/18 types were recalled twice at 12 and 24 months before referral to colposcopy. Persistent hrHPV positive/cytology negative smear at 12 and 24 months initiated a colposcopy referral. Objective: To assess the prevalence of high grade CIN and invasive cancer in patients referred to colposcopy services at NCIC NHS Foundation Trust with hrHPV positive/cytology negative smears. Method: The study was conducted at NCIC NHS Foundation Trust between January 2015 and December 2017. Data was collected retrospectively from the colposcopy data base (INFOFLEX). All patients with HPV positive/cytology negative smears seen in colposcopy clinic during the study period were included. Patients with high grade CIN, cervical glandular intraepithelial neoplasia (CGIN) or invasive cancer were recorded. Results: 763 women were included in the study. A total of 50 (6.6%) women had high grade CIN, CGIN or invasive cancer. 40 of these 50 women (80%) were treated by large loop excision of the transformation zone (LLETZ). <

关键词： Cervical Screening Cervical Intraepithelial Neoplasia Cervical Cancer Human Papillomavirus Colposcopy