A biometric based medical information system for the identification of comorbidity in Covid-19 patients

• Main Authors: Kumaresan, V., Punitha, K., Ragupathy, S., Shan, B. Priestly, Gunasekaran, T.
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Biometrics; Blood groups; Cholesterol; Comorbidity; Coronaviruses; COVID-19; Heart rate; Information systems; Internet of Things; Patients; Physicians; Respiratory rate
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0068693

Medical information System provides the best way to collect patient’s medical information. It helps the doctors to retrieve the patient’s previous medical history very faster and able to provide suitable treatment quickly. To keep medical information of a patient securely is a difficult task. Many MQTT algorithms have been developed to provide security for the patients information. The sensitive medical information of a patient can also be protected by using biometric technology. Internet of Thing (IoT) technology used to send the medical information to the doctor like blood group, BP value, cholesterol level and heart rate level. The proposed system helps to provide the comorbidity details of the Covid-19 infected patient’s to doctors mobile phone. It also takes the current health details of the patients like temperature, respiratory rate and heart beat rate. By considering the past and present medical data of the Covid-19 patients , this system recommends the type of treatment to be given for Covid-19 infected patients.