An Intelligent Health Care System Based on K-NN Algorithm to Monitor and Alert Patient Health Condition
Siamala Devi S1, Anto S2

1Dr. S. Siamala Devi, Associate Professor, Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, (Tamil Nadu), India.
2Dr. S. Anto, Associate Professor, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, (Tamil Nadu), India.

Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 2054-2060| Volume-8 Issue-7, May 2019 | Retrieval Number: G6312058719/19©BEIESP
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Abstract: Health is one of the essential abilities that a human need to go on with his life. That is the fundamental reason that the healthcare provided to human must be offered in abundant methods. Health of an individual can be guaranteed if health monitoring parameters and the medical assistance being given legitimately. The latest methodologies includes the web and the sensors regularly known as the Internet of Things (IoT), which enables the overall ways to deal with the medicinal services based on framework advancements. This directed the health care management system to adopt a constant methodology which supplies certain details relevant to patient monitoring system. Absence of well-planned therapeutic medications elevates the death rates worldwide. These can be closed out through standard health care mechanisms. A better health monitoring system is proposed which relies on sensors. These sensors are used to get the body temperature along with heart rate and tell the specialist or the staff about the condition of the patient. The task utilizes KNN (K-Nearest Neighbors) calculation to anticipate the state of the sufferer to keep them from going into further awful state. KNN is one of the basic but important classification algorithms in Machine Learning. At the point when the terrible state of the patient is detected, it sends mail to the doctor in most crisis circumstance or else in different cases it continues refreshing the detected values in the created web page. The framework additionally incorporates a buzzer beeping situation, where the beeping happens when the medical attendant must be advised to notify the state of the patient. Though, the past frameworks created did not do the foreseeing part, which assumes the most significant job in dealing with the patient. Thus, the proposed system result in the task brings about taking the best conceivable measure in helping the patients to improve their circumstance.
Keyword: Health Care, IoT, Machine Learning, KNN, Emergency.
Scope of the Article: Web Algorithms