MACHINE LEARNING TECHNIQUE TO ANALYSE THE CONDITION OF COVID-19 PATIENTS BASED ON THEIR SATURATION LEVELS

Machine learning technique to analyze the condition of Covid 19 patients based on their saturation levels is the proposed invention that is implemented in a cost-effective manner that can save many precious lives, especially during this pandemic situation. The invention includes a centralized databa...

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Bibliographische Detailangaben
Hauptverfasser:	T., SRINIVAS REDDY, TAMINANA, SHESAGIRI, M., KONDALU, M. L. M., PRASAD, P., MARIMUTHU, CH, GVN PRASAD, P. V., RAMANA MURTHY, RAO, KOTA PRASADA, ANKISETTY, GURUSAMPATH KUMAR, VEERASAMY, MOORTHY, S., RAVI CHAND
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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Beschreibung
Zusammenfassung:	Machine learning technique to analyze the condition of Covid 19 patients based on their saturation levels is the proposed invention that is implemented in a cost-effective manner that can save many precious lives, especially during this pandemic situation. The invention includes a centralized database unit that works on the principle of IOT. The application has to be downloaded by the patients on their smartphones or any similar electronic gadgets. The caretaker or patients himself can just login and the parameters will be read along with saturation levels and the application after communicating with the centralized database will display the condition of the patient directing him towards hospitalization or home isolation. COVID -19 Tests Person Tested \/ Isolated at Home Checking his/her Connected to parameters Centralized Download Proposed < Application Learned Data Suggestion /Comments Suggestion CoMachine Learning Unit Person Hospitalized at Right Time