Predictive Analysis of the Enrolment of Elementary Schools Using Regression Algorithms

— By fitting a linear equation to observable values, linear regression determines the relationship between two variables. The Department of Education enrollment data in the Philippines, specifically in the School Division of Batangas, is needed to produce modules. The data collected is from the division office, where data cleaning was applied. Deep Learning, Decision Tree, Random Forest, Gradient Boosted Tree, Support Vector Machine, and Linear Regression were used to perform the prediction, and linear regression performed the best with an absolute value of 14.465 and a relative error of 84.81%. Keywords— Prediction, Information Management, Linear Regression, Cloud Computing, LDM

Abstract 1122‐000211: Histology Profiles of Thrombi in Men and Women Undergoing Thrombectomy

Introduction : Understanding clot composition and associated genomic, epigenomic, and proteomic signatures could provide insight into thrombus biology and etiology, and aid in prognosis in stroke. We report preliminary analysis of histology evaluations in subjects enrolled in the INSIGHT Registry, a multicentered ‘multi‐omic’ analysis of thrombi associated with acute hemorrhagic and ischemic stroke this multi‐omic clot collection registry. Our aim was to determine potential histology differences between men and women with emergent large vessel occlusive thrombi. Methods : Subjects age ≥18 years, treated frontline with the Penumbra System® for thrombectomy are included in this analysis. Patient demographics, medical history, radiographic, and procedural information are collected in conjunction with extracted clot and concurrent extracranial arterial blood. Enrollment, data collection and monitoring are ongoing for the INSIGHT registry. While the protocol include analysis for proteomics and transcriptomics, for this analysis we used automated histology. An MSB Trichrome stain was used to evaluate the tissue. Composition was determined by automated pixel analysis, with the values representing ratios of the overall clot. Results : Samples from 60 subjects were enrolled from 10 sites between 02/2021 and 07/2021. Analysis of the thrombi determined the relative proportions of fibrin, red blood cells (RBCs), and platelets (PLT). The median RBC‐fibrin ratio did not differ between females (1.27, IQR 0.57‐2.62) n = 34 and males (0.95, IQR 0.41‐1.51) n = 26. However, the ratio was more widely distributed in females as seen in the wider IQR. Conclusions : These preliminary results demonstrate a lack of uniform differences in thrombus composition in males versus females with emergent large vessel occlusion. There may be more heterogeneity among females, which requires further study.

Supporting Enrollment in Higher Education Through a Visual Recommendation System

Nowadays, most universities offer programmes and subjects online, specially in the case of fully online open/distance universities. Students have a higher degree of flexibility, which allows them to choose among an endless list of subjects for advancing within their degree. Although this can be seen as a positive result of enrollment flexibility policies, it may be also the source of one of the most well-known problems in open/distance education: high dropout rates, partly caused by inadequate enrollment. In this paper we propose a recommendation system that helps students to navigate through the list of available subjects using a visual metaphor, taking into account students’ preferences and previous enrollment data. Our system is based on a two-dimensional map (2D) where subjects that can be taken together appear close to each other, as neighboring regions.

Implementing Serosurveys in India: Experiences, Lessons Learned, and Recommendations

Serological surveillance for vaccine-preventable diseases, such as measles and rubella, can provide direct measures of population immunity across age groups, identify gaps in immunity, and document changes in immunity over time. Rigorously conducted, representative household serosurveys provide high-quality estimates with minimal bias. However, they can be logistically challenging, expensive, and have higher refusal rates than vaccine coverage surveys. This article shares lessons learned through implementing nine measles and rubella household serosurveys in five districts in India—the challenges faced, the potential impact on results, and recommendations to facilitate the conduct of serosurveys. Specific lessons learned arose from challenges related to community mobilization owing to lack of cooperation in certain settings and populations, limitations of outdated census information, nonresponse due to refusal or unavailability during survey enumeration and enrollment, data collection issues, and specimen collection and handling issues. Although some experiences are specific to serosurveys in India, these lessons are generalizable to other household surveys, particularly vaccination coverage and serosurveys conducted in low- and middle-income settings.

Nationally representative estimates of the participation of cancer patients in clinical research studies according to the commission on cancer.

74 Background: The successful conduct of cancer clinical trials hinges on the willingness of patients to participate. The rate of adult clinical trial participation has been regarded as being < 5%. However, national estimates of trial participation are nearly two decades old, and no evidence based on original data sources has been examined for many years. Moreover, studies about trial participation have focused solely on enrollment to treatment trials, which does not reflect the willingness of patients to contribute to other key elements of clinical research, such as quality of life or biorepository studies. We determined inclusive, contemporary estimates of clinical trial participation for adults with cancer using a national sample of data from 1,200 institutions. Methods: The data were from the Commission on Cancer (CoC), a consortium of cancer-related organizations providing accreditation for both academic and community cancer care facilities across the U.S. CoC enrollment data represent 70% of all cases of cancer diagnosed each year. Deidentified, institution-level aggregate counts of annual enrollment to treatment, biorepository, diagnostic, economic, genetic, prevention, quality of life, registry, and screening studies were examined. Overall, study-type estimates for the period 2013-2017 were estimated. Multiple imputation by chained equations was used to account for missing data, with summary estimates calculated separately by type of program (e.g., NCI-designated cancer programs) and pooled. Results: Across the entire U.S. system, the estimated participation rate to cancer treatment trials was 6.3%. Enrollment to treatment trials was highest at NCI-designated comprehensive cancer centers (18.9%), while for community cancer programs (CCPs) and comprehensive CCPs, treatment trial rates were 4.4% and 3.6%, respectively. Nearly 1 in 7 patients participated in biorepository studies (13.4%), including 39.4% at NCI cancer centers. Patients participated in a wide variety of other study types, including registry (8.1%), prevention (6.4%), genetic (3.6%), quality of life (2.9%), economic (2.7%), diagnostic (2.7%), and screening studies (1.8%). At least 25.4% of adult cancer patients were estimated to participate in one or more cancer clinical research studies. Conclusions: In a first-time use of nationally representative enrollment data from the CoC, enrollment to cancer treatment trials was 6.3%, higher than historical estimates of < 5%. Patients participated in a diverse set of other study types, and taken together, at least one quarter of patients participated in a study. Contributions of adult patients with cancer to clinical research is much more comprehensive than previously understood.

Identifying Disparities in Health Outcomes and Mortality for American Indian and Alaska Native Populations Using Tribally Disaggregated Vital Statistics and Health Survey Data

Objectives. To determine the impact of disaggregated mortality and health surveillance data on the ability to identify health disparities for American Indian and Alaska Native (AI/AN) subpopulations. Methods. We conducted a systematic review of reporting categories for AI/AN decedents on official death certificates for all 50 US states. Using public data from the 2017–2018 California Health Interview Survey (CHIS), we conducted bivariate and multivariate analyses to assess disparities in health conditions and outcomes for tribally enrolled and non‒tribally enrolled AI/AN persons compared with non-Hispanic Whites. Results. There was no standard for the collection of tribal enrollment data or AI/AN race on death certificates across all 50 states. There were stark differences in the incidence and prevalence of various health risk factors and chronic diseases for the tribally enrolled AI/AN subpopulation, non‒tribally enrolled AI/AN subpopulation, and non-Hispanic White comparison group. Conclusions. The collection of tribal enrollment data in vital statistics and health surveillance systems is necessary to identify and respond to health disparities among AI/AN subpopulations. These efforts must be conducted in partnership with tribal nations and consider Indigenous data sovereignty.

TERAPI SULIH (SWITCH THERAPY) ANTIBIOTIK PADA PASIEN PNEUMONIA KOMUNITI DI RSUD WANGAYA KOTA DENPASAR

Hospitalized community-acquired pneumonia (CAP) patients are always prescribed intravenous (IV) antibiotics. Inappropriate and unnecessary IV antibiotics usage leads to an increase in healthcare costs and bacterial resistance. IV to per oral (PO) conversion therapy can overcome these problems. The aim of the study was to evaluate the practice of switching from intravenous to oral antibiotics of inpatients with community-acquired pneumonia (CAP). This retrospective observational study was conducted by taking patient medical record from january until december 2019. Outcomes of the study are patient characteristics, pattern use, antibiotic and type conversion therapy. Adult inpatients on conversion therapy were eligible for study enrollment. Data were analyzed descriptively using SPSS 17.0. The study showed that among 78 patients who were eligible for conversion therapy. Most of the patient has mean duration conversion therapy 48-72 hours as much as 55 (70,5%). Beta-lactams were the most commonly converted antibiotics. However, the step-down therapy was the major type of conversion practiced in this study as much as 48 (61,5) followed by sequential and switch over with numbers 21 (27%) and 9 (11,5%) respectively. Based on the study findings wangaya hospital should improve the practice of sequential therapy in order to reduce the burden of CAP.

Urban and place-based environmental education in the Ontario Secondary School curriculum

This study reviews the Ontario secondary school curriculum in light of recommendations made by the 2007 Bondar Report, “Shaping Our Schools, Shaping Our Future”. It analyzes curriculum expectations and enrollment data for the purpose of reporting upon and providing recommendations for urban and place-based environmental education (U&PBEE). The extent and prescriptiveness of U&PBEE coverage by subject, course, grade, and course progression or pathway are reported upon. These findings are contextualized through the perspectives of diverse stakeholder groups at the “Education Experts’ Workshop: Implementing 2007 Bondar Report’s Intended Outcomes in 2015” hosted by Ryerson University in April 2015. EE in Ontario does not have its own discrete compulsory courses and despite having been “embedded” in the curriculum, the important arenas of U&PBEE are being applied inconsistently across the mandatory curriculum. Poor enrolment in senior electives shows that the focus of students remains elsewhere, fracturing EE’s progression in secondary schools.

Urban and place-based environmental education in the Ontario Secondary School curriculum

This study reviews the Ontario secondary school curriculum in light of recommendations made by the 2007 Bondar Report, “Shaping Our Schools, Shaping Our Future”. It analyzes curriculum expectations and enrollment data for the purpose of reporting upon and providing recommendations for urban and place-based environmental education (U&PBEE). The extent and prescriptiveness of U&PBEE coverage by subject, course, grade, and course progression or pathway are reported upon. These findings are contextualized through the perspectives of diverse stakeholder groups at the “Education Experts’ Workshop: Implementing 2007 Bondar Report’s Intended Outcomes in 2015” hosted by Ryerson University in April 2015. EE in Ontario does not have its own discrete compulsory courses and despite having been “embedded” in the curriculum, the important arenas of U&PBEE are being applied inconsistently across the mandatory curriculum. Poor enrolment in senior electives shows that the focus of students remains elsewhere, fracturing EE’s progression in secondary schools.

Enrollment disparities in cancer clinical trials leading to FDA approvals between 2008 and 2020.

e18501 Background: Cancer clinical trials based in the United States (US) have lacked adequate representation of racial and ethnic minorities, the elderly, and women. Pivotal clinical trials leading to United States Food and Drug Administration (FDA) approval are often multi-national trials and may also lack generalizability to underrepresented populations in the United States. We determined the racial, ethnic, age, and sex enrollment in pivotal trials relative to the US cancer population. Methods: We reviewed the FDA’s Drug Approvals and Databases for novel and new use drug approvals for breast, colorectal, lung, and prostate cancer indications from 2008 through 2020. Drugs@FDA was searched for drug approval summaries and FDA labels to identify clinical trials used to justify clinical efficacy that led to FDA approval. For eligible trials, enrollment data were obtained from FDA approval summaries, FDA labels, ClinicalTrials.gov, and corresponding journal manuscripts. Enrollment Fraction (EF) was calculated as enrollment in identified clinical trials divided by 2017 SEER cancer prevalence. All data sources were publicly available. Results: From 2008 through 2020, 60 drugs received novel or new use drug approval for breast, colorectal, lung, or prostate cancer indications based on 66 clinical trials with a total enrollment of 36,830. North America accounted for 9,259 (31%) enrollees of the 73% of trials reporting location of enrollment. Racial demographics were reported in 78% of manuscripts, 66% of ClinicalTrials.gov pages, and 98% of FDA labels or approval summaries. Compared with a 0.4% enrollment fraction among White patients, lower enrollment fractions were noted in Hispanic (0.2%, odds ratio [OR] vs White, 0.46; 95% confidence interval [CI], 0.43 to 0.49, P< 0.001) and Black (0.1%, OR 0.29; 95% CI 0.28 to 0.31, P< 0.001) patients. Elderly patients (age ≥ 65 years) were less likely than younger patients to be enrollees (EF 0.3% vs 0.9%, OR 0.27; 95% CI 0.26 to 0.27, P< 0.001) despite accounting for 61.3% of cancer prevalence. For colorectal and lung cancer trials, females were less likely than males (EF 0.7% vs 1.1%, OR 0.66; 95% CI 0.63 to 0.68, P< 0.001) to be enrolled. Conclusions: Black, Hispanic, elderly, and female patients were less likely to enroll in cancer clinical trials leading to FDA approvals from 2008 to 2020. Race and geographic enrollment data were inconsistently reported in journal manuscripts and ClinicalTrials.gov. The lack of appropriate representation of specific patient populations in these key clinical trials limits their generalizability. Future efforts must be made to ensure equitable access, representation, and reporting of enrollees that adequately represent the US population of patients with cancer.