Data Engineering: The Foundation for Effective ML Models

This comprehensive study explores the integration of machine learning (ML) and data engineering techniques to enhance decision-making processes in enterprise solutions. As organizations grapple with increasingly complex data landscapes, the need for sophisticated analytical tools and methodologies has become paramount. This research investigates how ML algorithms, coupled with robust data engineering practices, can be leveraged to extract actionable insights, improve operational efficiency, and drive strategic decision-making across various business domains. Through a combination of literature review, case studies, and empirical analysis, we demonstrate the transformative potential of these technologies in areas such as predictive analytics, customer behavior modeling, supply chain optimization, and risk management. Our findings highlight the critical success factors, challenges, and best practices in implementing ML-driven decision support systems within enterprise environments. Furthermore, we propose a novel framework for integrating ML and data engineering processes that addresses common pitfalls and maximizes the value derived from organizational data assets. This research contributes to the growing body of knowledge on data-driven decision-making and provides practical guidelines for enterprises seeking to harness the power of ML and data engineering to gain a competitive edge in today\u27s data-rich business landscape

Four-country surveillance of intestinal intussusception and diarrhoea in children

Aim: Establishment of baseline epidemiology of intussusception in developing countries has become a necessity with the possibility of reintroduction of rotavirus vaccine. The current study assessed the seasonal trend in cases admitted with intussusceptions and dehydrating acute watery diarrhoea in children aged 2 months to 10 years. Methods: In a prospective surveillance study, teaching and research hospital sites in India (Lucknow and Nagpur), Brazil (Fortazela), Egypt (Ismailia) and Kenya (Nairobi) established a surveillance where a network of hospitals with surgical facilities catered to a reference population of about 1-2 million for reporting of intussusception. One large hospital per site also recruited admitted cases of acute watery diarrhoea. Results: From April 2004 to March 2006, 173 and 2346 cases of intussusception and diarrhoea, respectively, were recruited. Cases of intussusception had no apparent seasonality. Most cases of intussusception (61.3%) (107/173) were in the ≤1 year age group, with males comprising 68.8% (119/173) of all cases. Hospital mortality of intussusception was 4.2% (4/96). Cases of diarrhoea peaked in March, with 56.6% (1328/2346) of admitted cases being males. Majority (83.1%) of cases of diarrhoea had received antibiotics, and the hospital mortality was 0.8% (18/2280). Conclusion: Intussusception in the four participating countries exhibited no seasonal trend. We found that it is feasible to establish a surveillance network for intussusception in developing countries. Future efforts must define population base before the introduction of rotavirus vaccine and continue for some years thereafter. © 2009 Paediatrics and Child Health Division (Royal Australasian College of Physicians)

A Numerical Treatment of Fisher Equation

AbstractFisher equation is commonly arises in chemistry, heat and mass transfer, biology and ecology. In mathematics Fisher equation is also known as Kolmogorov Petrovsky-Piscounov equation, KPP equation or Fisher KPP equation. Fisher equation describes the process of interaction between diffusion and reaction. In this paper a semi implicit method is used to solve the Fisher equation. A semi implicit finite difference scheme has been designed for numerical solution of one dimensional nonlinear Fisher equation. The designed scheme accuracy is first order in time and second order in space. Numerical results are calculated for different values of Diffusion coefficient and time steps are matching with exact solution

A uniformly convergent B-spline collocation method on a nonuniform mesh for singularly perturbed one-dimensional time-dependent linear convection–diffusion problem

AbstractA numerical method is proposed for solving singularly perturbed one-dimensional parabolic convection–diffusion problems. The method comprises a standard implicit finite difference scheme to discretize in temporal direction on a uniform mesh by means of Rothe's method and B-spline collocation method in spatial direction on a piecewise uniform mesh of Shishkin type. The method is shown to be unconditionally stable and accurate of order O((Δx)2+Δt). An extensive amount of analysis has been carried out to prove the uniform convergence with respect to the singular perturbation parameter. Several numerical experiments have been carried out in support of the theoretical results. Comparisons of the numerical solutions are performed with an upwind finite difference scheme on a piecewise uniform mesh and exponentially fitted method on a uniform mesh to demonstrate the efficiency of the method

Platelet aggregation, mean platelet volume and plasma fibrinogen as risk factors for acute myocardial infarction

Background: The Aim of this study was to assess the role of platelet aggregation, mean platelet volume (MPV) and plasma fibrinogen levels in the pathogenesis of acute myocardial infarction (AMI).Methods: A prospective case control study was conducted on 30 cases of AMI and 30 normal healthy age and sex matched controls. The cases and controls were investigated for platelet aggregation studies (done in platelet rich plasma (PRP) using light transmission chrono-log optical aggregometer), MPV (measured by automated cell counter) and plasma fibrinogen levels (estimated by Clauss method).Results: The mean platelet aggregation (%) in cases AMI was 57.61±11.91 which was significantly higher compared with 35.00±10.40 for healthy controls (p<0.001). Using Receiver Operating Characteristic (ROC) analysis, most patients of AMI had a platelet aggregability of ≥49% on optical aggregometry (sensitivity = 83.3 % and specificity = 93.7%). The MPV (fL) in cases of AMI was 8.04±0.39 which was significantly larger when compared with 7.67±0.43 for controls (p= 0.001). The mean plasma fibrinogen concentration in cases of AMI was 383.1±48.3mg/dl which was significantly higher when compared with 271.33±57.7mg/dl for healthy controls (p<0.001).Conclusions: Platelet hyperaggregability, elevated MPV and plasma fibrinogen levels are found in patients with AMI and contribute significantly to risk of developing coronary thrombosis. These variables should be considered as additional screening tools to identify individuals at increased risk of developing AMI

Variation in health system performance for managing diabetes among states in India:a cross-sectional study of individuals aged 15 to 49 years

Background: Understanding where adults with diabetes in India are lost in the diabetes care cascade is essential for the design of targeted health interventions and to monitor progress in health system performance for managing diabetes over time. This study aimed to determine (i) the proportion of adults with diabetes in India who have reached each step of the care cascade and (ii) the variation of these cascade indicators among states and socio-demographic groups. Methods: We used data from a population-based household survey carried out in 2015 and 2016 among women and men aged 15–49 years in all states of India. Diabetes was defined as a random blood glucose (RBG) ≥ 200 mg/dL or reporting to have diabetes. The care cascade—constructed among those with diabetes—consisted of the proportion who (i) reported having diabetes (“aware”), (ii) had sought treatment (“treated”), and (iii) had sought treatment and had a RBG &lt; 200 mg/dL (“controlled”). The care cascade was disaggregated by state, rural-urban location, age, sex, household wealth quintile, education, and marital status. Results: This analysis included 729,829 participants. Among those with diabetes (19,453 participants), 52.5% (95% CI, 50.6–54.4%) were “aware”, 40.5% (95% CI, 38.6–42.3%) “treated”, and 24.8% (95% CI, 23.1–26.4%) “controlled”. Living in a rural area, male sex, less household wealth, and lower education were associated with worse care cascade indicators. Adults with untreated diabetes constituted the highest percentage of the adult population (irrespective of diabetes status) aged 15 to 49 years in Goa (4.2%; 95% CI, 3.2–5.2%) and Tamil Nadu (3.8%; 95% CI, 3.4–4.1%). The highest absolute number of adults with untreated diabetes lived in Tamil Nadu (1,670,035; 95% CI, 1,519,130–1,812,278) and Uttar Pradesh (1,506,638; 95% CI, 1,419,466–1,589,832). Conclusions: There are large losses to diabetes care at each step of the care cascade in India, with the greatest loss occurring at the awareness stage. While health system performance for managing diabetes varies greatly among India’s states, improvements are particularly needed for rural areas, those with less household wealth and education, and men. Although such improvements will likely have the greatest benefits for population health in Goa and Tamil Nadu, large states with a low diabetes prevalence but a high absolute number of adults with untreated diabetes, such as Uttar Pradesh, should not be neglected

Prospective serial evaluation of myocardial perfusion and lipids during the first six months of pravastatin therapy Coronary artery disease regression single photon emission computed tomography monitoring trial

AbstractObjectivesThis study was designed to assess prospectively changes in serum lipid profile and myocardial perfusion with serial radionuclide single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) during the first six months of pravastatin therapy.BackgroundMorbid coronary events occur despite statin therapy and lipid-lowering in patients with coronary artery disease (CAD). A reliable strategy to identify responders with effective treatment from nonresponders on statin therapy before clinical events is needed.MethodsRest and stress SPECT MPI and lipids were assessed serially in 25 patients (36% women) with CAD and dyslipidemia during the first six months of pravastatin therapy.ResultsTotal cholesterol, low-density lipoprotein cholesterol, and triglycerides declined (26%, 32%, and 30%, respectively) by six weeks and remained reduced at six months. Mean stress perfusion defect (summed stress score [SSS]) was severe (13.3 ± 6.0) at baseline, showed no change at six weeks, and improved significantly at six months (10.3 ± 7.3, p < 0.01). The six-month study SSS improved in 11 (48%) patients, was unchanged in 10 (43%) patients, and worsened in 2 (9%) patients. Changes in lipid levels did not reliably predict changes in myocardial perfusion at six weeks or six months in this small pilot study.ConclusionsSerial SPECT MPI demonstrated improved stress myocardial perfusion in 48% of patients treated for six months with pravastatin. Time course of improved myocardial perfusion during pravastatin therapy is delayed compared to lipids. Direction and magnitude of changes in the myocardial perfusion vary and do not correlate closely with improvements in lipids