A Web-Based System for Blood Pressure Prediction during Hemodialysis (Preprint)

2019 ◽  
Author(s):  
Chih-Jen Wu ◽  
Cheng-Jui Lin ◽  
Ying-Ying Chen ◽  
Pei-Chen Wu ◽  
Chi-Feng Pan ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Prediction Model ◽  
Intelligent System ◽  
Demographic Data ◽  
Multiple Linear Regression Model ◽  
Interactive System ◽  
Data Set ◽  
Web Based ◽  
Patient Groups ◽  
Web Based System

BACKGROUND Cardiovascular (CV) events are the major cause of morbidity and mortality associated with blood pressure (BP) in hemodialysis (HD) patients. BP varies significantly during HD treatment, and the dramatic variation in BP is a well-recognized risk factor for increased mortality. It is important to develop an intellectual system capable of predicting BP profiles for real-time monitory. OBJECTIVE Our aim was to build a web-based system to predict the systolic blood pressure (SBP) change during hemodialysis process. METHODS This study was based on a large stream of HD parameters collected from a dialysis equipment connected to the Vital Info Portal gateway and linked with the demographic data stored in the hospital information system. The data set was divided into three groups - training, test and new patients. The training group was useful to build a multiple linear regression model, in which the SBP change was the dependent variable and the dialysis parameters and demographic data were the independent variables. We used the test and new patient groups to evaluate the model performance using coverage rates in different thresholds. A web-based interactive system based on the model was built for visualizing the prediction performance. RESULTS A total of 542,424 BP records were used in the model building. The accuracy was greater than 80% in the prediction error range of 15%, and 20mmHg of true SBP in the test and new patient groups for the SBP change model suggested a good performance of our prediction model. In the case of absolute SBP values (5, 10, 15, 20 and 25 mmHg), the accuracy of SBP prediction increased as the threshold value augmented. CONCLUSIONS This database supported the application of our prediction model in reducing the frequency of intradialytic SBP variability, and therefore, it could aid in the clinical decision when a new patient undertakes HD treatment. Whether the introduction of SBP prediction intelligent system can lower CV events in HD patients, it needs further investigations.

scholarly journals PERANCANGAN SISTEM INTERAKTIF BERBASIS WEB DALAM DIAGNOSA PENYAKIT INFEKSI VIRUS PADA ANAK (STUDI KASUS : UPT. PUSKESMAS KUTA UTARA)

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Wayan Riyan Hedriant
Keyword(s):  
Early Diagnosis ◽  
Viral Infections ◽  
Health Workers ◽  
Disease Diagnosis ◽  
Interactive Systems ◽  
Interactive System ◽  
Growing Up ◽  
Web Based ◽  
The World ◽  
Web Based System

<p>ABSTRACT<br />The development of information technology is growing up into the world of health . With<br />the technology in the world will facilitate the health services to patients . Information systems can<br />help health workers to do its job quickly then if done manually .Viral diseases are very vulnerable<br />children . This disease will be easier to attack when the child's immune system decreases.<br />Increasingly evolve the viral infections in children will require a rapid handling by health<br />workers, system built to help health workers to know the types of viral infections in children by<br />providing early diagnosis based on symptoms experienced by sufferers . This interactive system<br />designed using web based programming language PHP and uses a database of MYSQL . The<br />purpose of this interactivity system design is to produce a web-based system in the early diagnosis<br />of viral infections in children. Application of this interactive system is to leave the question in the<br />form of symptoms or complaints experienced by the patient, then the system will make the process<br />of analysis based on a percentage likelihood of a diagnosis of the patient's illness. This interactive<br />system will help provide the diagnosis of viral infections in children as well as provide information<br />about the disease as well as the solution of the disease. This system will assist in the provision of<br />services more quickly to patients .<br />Keywords : Interactive Systems, Disease Diagnosis Virus Infection In Children, Web<br />ABSTRAK<br />Perkembangan teknologi informasi semakin berkembang hingga ke dunia kesehatan.<br />Dengan adanya teknologi dalam dunia kesehatan akan mempermudah dalam melakukan pelayanan<br />kepada pasien. Sistem informasi dapat membantu petugas kesehatan dalam melakukan<br />pekerjaanya dengan cepat dibandingakan jika dilakukan secara manual. Penyakit akibat virus<br />sangat rentan terjadi pada anak-anak. Penyakit ini akan mudah menyerang saat daya tahan tubuh<br />anak menurun. Semakin berkembanganya penyakit infeksi virus pada anak akan membutuhkan<br />suatu penanganan yang cepat oleh petugas kesehatan.Sebuah sistem dibangun membantu petugas<br />kesehatan untuk mengetahui jenis penyakit infeksi virus pada anak dengan memberikan diagnosa<br />awal berdasarkan gejala yang di alami oleh penderita. Sistem interaktif ini di rancang berbasis web<br />dengan menggunakan bahasa pemrograman PHP dan menggunakan database dari MYSQL.<br />Tujuan dari perancangan sistem interakif ini adalah untuk menghasilkan sistem berbasis web<br />dalam diagnosa awal penyakit infeksi virus pada anak.Penerapan sistem interaktif ini adalah<br />dengan memberikan pertanyaan berupa gejala-gejala atau keluhan yang di alami oleh pasien, lalu<br />sistem ini akan melakukan proses analisis berdasarkan presentase kemungkinan dari diagnosa dari<br />penyakit pasien tersebut. Sistem interaktif ini akan dapat membantu memberikan hasil diagnosa<br />penyakit infeksi virus pada anak serta memberikan keterangan tentang penyakit serta solusi dari<br />penyakit tersebut. Sistem ini akan membantu dalam pemberian pelayanan yang lebih cepat pada<br />pasien.<br />Kata Kunci : Sistem Interaktif, Diagnosa Penyakit Infeksi Virus pada Anak¸ Web</p>

scholarly journals Magellan: A Web Based System for the Integrated Analysis of Heterogeneous Biological Data and Annotations; Application to DNA Copy Number and Expression Data in Ovarian Cancer

2006 ◽  
Vol 2 ◽  
pp. 117693510600200 ◽  
Author(s):  
Chris B. Kingsley ◽  
Wen-Lin Kuo ◽  
Daniel Polikoff ◽  
Andy Berchuck ◽  
Joe W. Gray ◽  
...  
Keyword(s):  
Mrna Expression ◽  
Analytical Methods ◽  
Patient Survival ◽  
Biological Data ◽  
Integrated Analysis ◽  
Comparative Genomic ◽  
Expression Data ◽  
Data Set ◽  
Web Based ◽  
Web Based System

Recent advances in high throughput biological methods allow researchers to generate enormous amounts of data from a single experiment. In order to extract meaningful conclusions from this tidal wave of data, it will be necessary to develop analytical methods of sufficient power and utility. It is particularly important that biologists themselves be able to perform many of these analyses, such that their background knowledge of the experimental system under study can be used to interpret results and direct further inquiries. We have developed a web-based system, Magellan, which allows the upload, storage, and analysis of multivariate data and textual or numerical annotations. Data and annotations are treated as abstract entities, to maximize the different types of information the system can store and analyze. Annotations can be used in analyses/visualizations, as a means of subsetting data to reduce dimensionality, or as a means of projecting variables from one data type or data set to another. Analytical methods are deployed within Magellan such that new functionalities can be added in a straightforward fashion. Using Magellan, we performed an integrated analysis of genome-wide comparative genomic hybridization (CGH), mRNA expression, and clinical data from ovarian tumors. Analyses included the use of permutation-based methods to identify genes whose mRNA expression levels correlated with patient survival, a nearest neighbor classifier to predict patient survival from CGH data, and curated annotations such as genomic position and derived annotations such as statistical computations to explore the quantitative relationship between CGH and mRNA expression data.

Bringing the Missing Million Home: Correcting the 1991 Small Area Statistics for Undercount

2002 ◽  
Vol 34 (6) ◽  
pp. 1021-1035 ◽  
Author(s):  
Richard Mitchell ◽  
Danny Dorling ◽  
David Martin ◽  
Ludi Simpson
Keyword(s):  
Small Area ◽  
Census Data ◽  
Decennial Census ◽  
Data Set ◽  
Web Based ◽  
Marginalised Groups ◽  
Small Area Statistics ◽  
Web Based System

The 1991 UK Decennial Census missed about 1.2 million people. These missing individuals present a serious challenge to any census user interested in measuring intercensal change, particularly amongst the most marginalised groups in society who were prominent amongst the missing population. Recently, a web-based system for accessing census data from the 1971, 1981, and 1991 censuses was launched ( www.census.ac.uk/cdu/lct ). The ‘LCT’ package also provides access to a set of 1991 small area statistics (SAS) which have been corrected to compensate for the missing million. The authors explain the methods used for adjusting the SAS counts, provide examples of the differences between analysis with the adjusted and unadjusted data, and recommend the use of the new data set to all those interested in intercensal change.

scholarly journals MONITORING JADWAL BELAJAR MENGAJAR PRODI TEKNIK MULTIMEDIA DAN JARINGAN DENGAN RASPBERRY PI

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Syarifah Muliana ◽  
Muhammad Nasir ◽  
Mursyidah Mursyidah
Keyword(s):  
Teaching And Learning ◽  
Web Server ◽  
Raspberry Pi ◽  
Time Data ◽  
Study Program ◽  
Data Set ◽  
Web Based ◽  
Study Programs ◽  
Web Based System ◽  
The Web

Abstrak — Politeknik Negeri Lhokseumawe menyediakan Web server untuk mengakses berbagai macam informasi sekitaran jurusan dan program studi khususnya Prodi Teknik Multimedia dan Jaringan. Web bukan hanya untuk menyampaikan sebatas informasi pada prodi, tetapi juga dapat memonitoring jadwal belajar mengajar meggunakan Raspberry Pi sebagai server mini, pengganti komputer yang biasanya digunakan untuk server. Selama ini monitoring jadwal belajar mengajar dilakukan secara manual, sistem ini dibuat untuk memonitoring secara otomatis. Perancangan sistem berbasis Web dengan pemprograman HTML, PHP, MYSQL dan SMS gateway dengan gammu sebagai servicenya. Operasi yang berjalan dalam SMS gateway ini yaitu, pesan broadcast yang dapat mengirimkan pesan kebanyak tujuan sesuai dengan jadwal dan auto respon atau sistem dapat menerima pesan dan mengirim kembali ke nomor tujuan jika ada secara otomatis. Parameter nilai yang diiambil berdasarkan data waktu yang diatur dalam sistem. Dengan adanya sistem ini dapat mempermudah prodi Teknik Multimedia dan Jaringan dalam memonitoring jadwal belajar mengajar.Kata Kunci : Web, SMS Gateway, Gammu, Raspberry Pi Abstract — Lhokseumawe State  of Polytechnic provides a Web server to access various kinds of information around majors and study programs, especially Multimedia Engineering and Networks. The Web is not just for delivering information on the study program, but also monitoring the schedule of teaching lessons using Raspberry Pi as a mini server, a replacement for computers that are usually used for servers. During this time monitoring of teaching and learning schedule is done manually, this system is made to monitor automatically. Web-based system design with HTML, PHP, MYSQL and SMS gateway programming with gammu as its service. The operation that runs in this SMS gateway is, broadcast messages that can send messages to many destinations in accordance with schedule and auto response or the system can receive messages and send back to the destination number if it exists automatically. The value parameter is retrieved based on the time data set in the system. With this system can facilitate Multimedia Engineering and Network study programs in monitoring teaching and learning schedules.Keywords: Web, SMS Gateway, Gammu, Raspberry Pi

Rancang Bangun Sistem Penerimaan Dan Mutasi Barang Pada PDAM Tirta Kerta Raharja

Sensi Journal ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 236-246
Author(s):  
Ilamsyah Ilamsyah ◽  
Yulianto Yulianto ◽  
Tri Vita Febriani
Keyword(s):  
System Analysis ◽  
Object Oriented ◽  
Analysis Method ◽  
Web Based ◽  
Visual Modeling ◽  
Long Time ◽  
The Right ◽  
And Control ◽  
Web Based System ◽  
The Web

The right and appropriate system of receiving and transferring goods is needed by the company. In the process of receiving and transferring goods from the central warehouse to the branch warehouse at PDAM Tirta Kerta Raharja, Tangerang Regency, which is currently done manually is still ineffective and inaccurate because the Head of Subdivision uses receipt documents, namely PPBP and mutation of goods, namely MPPW in the form of paper as a submission media. The Head of Subdivision enters the data of receipt and mutation of goods manually and requires a relatively long time because at the time of demand for the transfer of goods the Head of Subdivision must check the inventory of goods in the central warehouse first. Therefore, it is necessary to hold a design of information systems for the receipt and transfer of goods from the central warehouse to a web-based branch warehouse that is already database so that it is more effective, efficient and accurate. With the web-based system of receiving and transferring goods that are already datatabed, it can facilitate the Head of Subdivision in inputing data on the receipt and transfer of goods and control of stock inventory so that the Sub Head of Subdivision can do it periodically to make it more effective, efficient and accurate. The method of data collection is done by observing, interviewing and studying literature from various previous studies, while the system analysis method uses the Waterfall method which aims to solve a problem and uses design methods with visual modeling that is object oriented with UML while programming using PHP and MySQL as a database.

Selection of children with ultra-severe traumatic brain injury for neurosurgical intervention

2019 ◽  
Vol 23 (6) ◽  
pp. 670-679
Author(s):  
Krista Greenan ◽  
Sandra L. Taylor ◽  
Daniel Fulkerson ◽  
Kiarash Shahlaie ◽  
Clayton Gerndt ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Decision Tree ◽  
Prediction Model ◽  
Severe Traumatic Brain Injury ◽  
Pupillary Response ◽  
Data Set ◽  
Robust Model ◽  
Gcs Score ◽  
Combined Data

OBJECTIVEA recent retrospective study of severe traumatic brain injury (TBI) in pediatric patients showed similar outcomes in those with a Glasgow Coma Scale (GCS) score of 3 and those with a score of 4 and reported a favorable long-term outcome in 11.9% of patients. Using decision tree analysis, authors of that study provided criteria to identify patients with a potentially favorable outcome. The authors of the present study sought to validate the previously described decision tree and further inform understanding of the outcomes of children with a GCS score 3 or 4 by using data from multiple institutions and machine learning methods to identify important predictors of outcome.METHODSClinical, radiographic, and outcome data on pediatric TBI patients (age < 18 years) were prospectively collected as part of an institutional TBI registry. Patients with a GCS score of 3 or 4 were selected, and the previously published prediction model was evaluated using this data set. Next, a combined data set that included data from two institutions was used to create a new, more statistically robust model using binomial recursive partitioning to create a decision tree.RESULTSForty-five patients from the institutional TBI registry were included in the present study, as were 67 patients from the previously published data set, for a total of 112 patients in the combined analysis. The previously published prediction model for survival was externally validated and performed only modestly (AUC 0.68, 95% CI 0.47, 0.89). In the combined data set, pupillary response and age were the only predictors retained in the decision tree. Ninety-six percent of patients with bilaterally nonreactive pupils had a poor outcome. If the pupillary response was normal in at least one eye, the outcome subsequently depended on age: 72% of children between 5 months and 6 years old had a favorable outcome, whereas 100% of children younger than 5 months old and 77% of those older than 6 years had poor outcomes. The overall accuracy of the combined prediction model was 90.2% with a sensitivity of 68.4% and specificity of 93.6%.CONCLUSIONSA previously published survival model for severe TBI in children with a low GCS score was externally validated. With a larger data set, however, a simplified and more robust model was developed, and the variables most predictive of outcome were age and pupillary response.

scholarly journals Attitudes toward the SARS-CoV-2 Vaccine: Results from the Saudi Residents’ Intention to Get Vaccinated against COVID-19 (SRIGVAC) Study

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 798
Author(s):  
Sami H. Alzahrani ◽  
Mukhtiar Baig ◽  
Mohammed W. Alrabia ◽  
Mohammed R. Algethami ◽  
Meshari M. Alhamdan ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Health Beliefs ◽  
Multinomial Logistic Regression ◽  
Demographic Data ◽  
Vaccine Uptake ◽  
Vaccine Hesitancy ◽  
Relative Risk Ratio ◽  
Cross Sectional ◽  
Vaccine Acceptance ◽  
Web Based

Vaccine uptake could influence vaccination efforts to control the widespread COVID-19 pandemic; however, little is known about vaccine acceptance in Saudi Arabia. The present study aimed to assess the Saudi public’s intent to get vaccinated against COVID-19 and explore the associated demographic determinants of their intentions as well as the reasons for vaccine hesitancy. A cross-sectional, web-based survey was distributed to public individuals in Saudi Arabia between 25 December 2020 and 15 February 2021. Participants were asked if they were willing to get vaccinated, and the responses, along with demographic data were entered into a multinomial logistic regression model to assess the relative risk ratio (RRR) for responding “no” or “unsure” versus “yes”. Among 3048 participants (60.1% female, 89.5% Saudi), 52.9% intend to get vaccinated, 26.8% were unsure, and 20.3% refused vaccination. Vaccine hesitancy was significantly higher among females (RRR = 2.70, p < 0.0001) and those who had not been recently vaccinated for influenza (RRR = 2.63, p < 0.0001). The likelihood was lower among Saudis (RRR = 0.49, p < 0.0001), those with less than a secondary education (RRR = 0.16, p < 0.0001), perceived risks of COVID-19, and residents of the southern region (RRR = 0.46, p < 0.0001). The most often cited reasons for hesitancy were short clinical testing periods and concerns about adverse events or effectiveness. Vaccine hesitancy is mediated by many demographic factors and personal beliefs. To address vaccine-related concerns and amend deeply rooted health beliefs, communication should provide transparent information.

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