Development and external validation of an algorithm for self‐identification of risk for microvascular complications in patients with type 1 diabetes
Wei LiuXiaodan HuYayu FangShenda HongYu ZhuMingxia ZhangSiqian GongXiangqing WangChu LinRui ZhangSai YJuan LiYong HuoXiaoling CaiLinong Ji
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Microvascular complications, such as diabetic retinopathy (DR), diabetic nephropathy (DN) and diabetic peripheral neuropathy (DPN), are common and serious outcomes of inadequately managed type 1 diabetes (T1D). Timely detection and intervention in these complications are crucial for improving patient outcomes. This study aimed to develop and externally validate machine learning (ML) models for self-identification of microvascular complication risks in T1D population.Keywords:
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There are a number of reports on seismic quiescence phenomena before large earthquakes. The RTL algorithm is a weighted coefficient statistical method that takes into account the magnitude, occurrence time, and place of earthquake when seismicity pattern changes before large earthquakes are being investigated. However, we consider the original RTL algorithm to be overweighted on distance. In this paper, we introduce a modified RTL algorithm, called the RTM algorithm, and apply it to three large earthquakes in Japan, namely, the Hyogo-ken Nanbu earthquake in 1995 (MJMA7.3), the Noto Hanto earthquake in 2007 (MJMA 6.9), and the Iwate-Miyagi Nairiku earthquake in 2008 (MJMA 7.2), as test cases. Because this algorithm uses several parameters to characterize the weighted coefficients, multiparameter sets have to be prepared for the tests. The results show that the RTM algorithm is more sensitive than the RTL algorithm to seismic quiescence phenomena. This paper represents the first step in a series of future analyses of seismic quiescence phenomena using the RTM algorithm. At this moment, whole surveyed parameters are empirically selected for use in the method. We have to consider the physical meaning of the "best fit" parameter, such as the relation of ACFS, among others, in future analyses.
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We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization (ML-EM) algorithm. In this study, we extend these algorithms to Bayesian algorithms. The family of emission-EM-lookalike algorithms utilizes a multiplicative update scheme. The extension of these algorithms to Bayesian algorithms is achieved by introducing a new simple factor, which contains the Bayesian information. One of the extended algorithms can be applied to emission tomography and another to transmission tomography. Computer simulations are performed and compared with the corresponding un-extended algorithms. The total-variation norm is employed as the Bayesian constraint in the computer simulations. The newly developed algorithms demonstrate a stable performance. A simple Bayesian algorithm can be derived for any noise variance function. The proposed algorithms have properties such as multiplicative updating, non-negativity, faster convergence rates for bright objects, and ease of implementation. Our algorithms are inspired by Green's one-step-late algorithm. If written in additive-update form, Green's algorithm has a step size determined by the future image value, which is an undesirable feature that our algorithms do not have.
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Objective: The current study aims to determine the frequency of diabetes mellitus in patients with COVID-19 infection. Methodology: Our cross-sectional study was conducted on 120 patients who presented with COVID-19 to Dr. Ziauddin Hospital, North Nazimabad, Karachi, from December 2021 to May 2022. The frequency of diabetes in these patients was determined. Results: In this study, the mean age of the patients recorded was 53.72±10.42 years. Frequency of diabetes was 37 (30.8%). Diabetes was significantly associated with hypertension, ischemic heart disease, and chronic kidney disease. Conclusion: The frequency of diabetes in COVID-19 patients in our study was 37 (30.8%). Diabetes was significantly more common in patients with comorbidities such as hypertension, ischemic heart disease, and chronic kidney disease. We recommend proper management of diabetic patients with COVID-19 infection as it can lead to a fatal manifestation of the disease.
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article Free Access Share on Remarks on Algorithm 332: Jacobi polynomials: Algorithm 344: student's t-distribution: Algorithm 351: modified Romberg quadrature: Algorithm 359: factoral analysis of variance Author: Arthur H. J. Sale Univ. of Sydney, Sydney, Australia Univ. of Sydney, Sydney, AustraliaView Profile Authors Info & Claims Communications of the ACMVolume 13Issue 7July 1970 https://doi.org/10.1145/362686.362700Published:01 July 1970Publication History 0citation275DownloadsMetricsTotal Citations0Total Downloads275Last 12 Months10Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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Objective To understand the status of diabetes cognition among COPD patients complicated with diabetes mellitus. Method Totally, 240 COPD patients complicated with diabetes mellitus were investigated by self- designed questionnaire about their knowledge of diabetes mellitus. Results There were significant differences between different gender patients in hypoglycemia symptoms and treatment principles( P 0. 01),among different age patients in diabetes mellitus causes,clinical manifestation and complications,treatment( P 0. 01 or P 0. 05). There were significant differences between among different education background patients in correlation between long- term using glucocorticoid and diabetes and diabetes treatment( P 0. 01 or P 0. 05),among different COPD stages patients in correlation between long- term using glucocorticoid and diabetes,diabetes mellitus causes,hypoglycemia symptoms and treatment principles,diabetes treatment( P 0. 01 or P 0. 05). There were significant differences between different diabetes stages patients in diabetes mellitus causes,clinical manifestation and complications,hypoglycemia symptoms and treatment principles,diabetes treatment( P 0. 01 or P 0. 05). Conclusion The diabetes related health education for COPD patients should be specific according to their situations,in order to control the glucose,promote the prognosis and improve their self- control of glucose.
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article Free AccessRemarks on algorithms 372: Algorithm 401: An algorithm to produce complex primes, csieve: an improved algorithm to produce complex primes Author: Paul Bratley Univ. de Montréal, Quebec, Canada Univ. de Montréal, Quebec, CanadaView Profile Authors Info & Claims Communications of the ACMVolume 13Issue 1101 November 1970https://doi.org/10.1145/362790.362805Published:01 November 1970Publication History 0citation192DownloadsMetricsTotal Citations0Total Downloads192Last 12 Months9Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
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