Application of classification technique of data mining for employee management system

This paper presents the application of classification technique of data mining used for the Employee Management System (EMS). This paper discusses the classification techniques of data mining and based on the data, the process of Knowledge Discovery in Databases (KDD) is reformed for classifying large data into different categories such as Disability, Employee Performance, etc. This paper discusses, WEKA data mining toolkit classifier model to predict employee’s performance based on the employee’s age, date of joining and number of years of experience. This study helps to predict the employee’s work-cycle and helps the management to find the employee’s performance those who are disabled and enabled. The paper addresses the system to get the details of those employees who need special attention and guide the management to make policies to improve employees’ performance. We demonstrate the application in a real-life situation. © Springer International Publishing AG, part of Springer Nature 2018

India Hypertension Control Initiative—Hypertension treatment and blood pressure control in a cohort in 24 sentinel site clinics

Abstract The India Hypertension Control Initiative (IHCI) is a multi‐partner initiative, implementing and scaling up a public health hypertension control program across India. A cohort of 21,895 adult hypertension patients in 24 IHCI sentinel site facilities in four Indian states (Punjab, Madhya Pradesh, Maharashtra, and Telangana), registered from January 2018 until June 2019 were assessed at baseline and then followed up for blood pressure (BP) control and antihypertensive medication use. Among all registrations, 11 274 (51%) of the patients returned for a follow‐up visit between July 2019 and September 2019. Among patients returning for follow‐up, 26.3% had BP controlled at registration, and 59.8% had BP controlled at follow‐up (p < .001). The absolute improvement in BP control was more than two times greater in primary care (48.1 percentage point increase) than secondary care facilities (22.9 percentage point increase). Most IHCI patients received prescriptions according to state‐specific treatment protocols. This study demonstrates that a scalable public health hypertension control program can yield substantial BP control improvements, especially in primary care settings. However, high loss to follow‐up limits population health impact; future efforts should focus on improving systems to increase the likelihood that patients will return to the clinic for routine hypertension care