132 International Journal of Computer (IJC) ISSN 2307-4523 (Print & Online) © Global Society of Scientific Research and Researchers http://ijcjournal.org/ An Efficient Feature Selection Algorithm for Health Care Data Processing Zahoor Ahmed a* , Talat Saeed b , Umair Ahmed c , Faiz Ullah d a,b,c,d Sindh Madressatul Islam University (SMIU) Aiwan-e-Tijarat Rd, Seari Quarters, Karachi, Karachi City, Sindh 74000 Pakistan a Email: ahmed_zahoor@live.com Abstract The researcher used to study the tides depends on a qualitative approach that takes into account the review of past works and studies of various authors and researchers. The service sector is an explosive part of the economy in many countries. Its development is fraught with difficulties, including increased costs, wasteful aspects, poor quality, and the expansion of multifaceted nature. AI systems can be deployed in health programs they want to be qualified using statistics obtained from clinical activities, consisting of screening, diagnosis, corrective measures, etc. The advantage is due to proactive behavior and specialized medical services. Stimulates e-health and electronic monitoring at the forefront of research. AI systems can be deployed in health programs they want to be “qualified” using statistics obtained from clinical activities, consisting of screening, diagnosis, corrective measures, etc. On the other hand, among the various classes in a study in medical services, the use of data mining is usually used as an aid in clinical choice (42%) and for managerial purposes (32%). This segment examines the use of data mining in these territories, and the main points of these checks, performance holes, and key points are different. Keywords: Efficient Feature; Algorithm; Health Care Data Processing; Health monitoring systems. 1. Introduction 1.1 Research background The author in [9] stated that continuous improvements in algorithm functions, registration of wearable devices, the Internet of things (IoT), and remote exchanges have allowed humans to study portable and widespread medical services and remote verification of well-being and exercises of groups of people. ----------------------------------------------------------------------- * Corresponding author. brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by International Journal of Computer (IJC - Global Society of Scientific Research and...