SYSTEM AND METHOD FOR MONITORING POST COVID PATIENT USING MACHINE LEARNING AND BLOCK CHAIN
SYSTEM AND METHOD FOR MONITORING POST COVID PATIENT USING MACHINE LEARNING AND BLOCK CHAIN The present invention relates to a system and method for monitoring post covid recovered patient using machine learning model and block chain technique. The objective of present invention is to solve the anomalies presented in the prior art techniques and technologies related to healthcare monitor of patient who has recovered for the covid-19 disease. The disclosure presents a block chain integrated remote post covid patient monitoring which is machine learning and Biomedical sensor based smart wearable devices for collecting various physiological and health related parameters of the patient. Its aim is to help remotely living post covid patient to gain access to healthcare units seamlessly and avail services without time and geographical restrictions. The invention is integrated with block chain technology in order to make sensitive healthcare transactions immutable leading to data integrity and non repudiation. Further, the system is equipped enough with machine learning models to infer the data available and detect any abnormal pattern related to health issues. It has provision to capture post covid patient vital signs and send to doctors. The mobile application or user interface pulls data from the machine learning model based central server and showed to doctor from time to time. Thus, doctor can view post covid patient health details and support near real-time monitoring and treatment to save lives of post covid patient besides their valuable time and effort. In this way, the monitoring of post covid recovered patient becomes easy patient and family can be avoided from harm of lives. Train central server using database and test cases according to machine learning model (201) Collect physiological and health data by smart wearable devices having biomedical sensors stored in local memory (202) Periodically sending gathered data to central server using communication network (203) Detecting abnormality in gathered data using machine learning model (204) Periodically reviewing data by the expert doctors using user interface or mobile application (205) Notifying the patient regarding any abnormality in health on the basis of assed data in real time (206) Patient or user access data using mobile application and act as prescribed by expert (207) Figure 2 - Flow-diagram of the post covid patient monitoring method.
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Patent| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Europäisches Patentamt - (2021) vom: 19. Aug. Zur Gesamtaufnahme - year:2021 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
AGARWAL ANSHU [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2021-08-19, Last update posted on www.tib.eu: 2024-02-05, Last updated: 2024-02-09 |
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| Patentnummer: |
AU2021103601 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA013221884 |
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| 520 | |a SYSTEM AND METHOD FOR MONITORING POST COVID PATIENT USING MACHINE LEARNING AND BLOCK CHAIN The present invention relates to a system and method for monitoring post covid recovered patient using machine learning model and block chain technique. The objective of present invention is to solve the anomalies presented in the prior art techniques and technologies related to healthcare monitor of patient who has recovered for the covid-19 disease. The disclosure presents a block chain integrated remote post covid patient monitoring which is machine learning and Biomedical sensor based smart wearable devices for collecting various physiological and health related parameters of the patient. Its aim is to help remotely living post covid patient to gain access to healthcare units seamlessly and avail services without time and geographical restrictions. The invention is integrated with block chain technology in order to make sensitive healthcare transactions immutable leading to data integrity and non repudiation. Further, the system is equipped enough with machine learning models to infer the data available and detect any abnormal pattern related to health issues. It has provision to capture post covid patient vital signs and send to doctors. The mobile application or user interface pulls data from the machine learning model based central server and showed to doctor from time to time. Thus, doctor can view post covid patient health details and support near real-time monitoring and treatment to save lives of post covid patient besides their valuable time and effort. In this way, the monitoring of post covid recovered patient becomes easy patient and family can be avoided from harm of lives. Train central server using database and test cases according to machine learning model (201) Collect physiological and health data by smart wearable devices having biomedical sensors stored in local memory (202) Periodically sending gathered data to central server using communication network (203) Detecting abnormality in gathered data using machine learning model (204) Periodically reviewing data by the expert doctors using user interface or mobile application (205) Notifying the patient regarding any abnormality in health on the basis of assed data in real time (206) Patient or user access data using mobile application and act as prescribed by expert (207) Figure 2 - Flow-diagram of the post covid patient monitoring method | ||
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