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IC_EX:G16H* AND EN_ALLTXT:(coronavirus OR coronaviruses OR coronaviridae OR coronavirinae OR orthocoronavirus OR orthocoronaviruses OR orthocoronaviridae OR orthocoronavirinae OR betacoronavirus OR betacoronaviruses OR betacoronaviridae OR betacoronavirinae OR sarbecovirus OR sarbecoviruses OR sarbecoviridae OR sarbecovirinae OR "severe acute respiratory syndrome" OR sars OR "2019 ncov" OR covid)

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Analysis

1.2020102631The Severity Level and Early Prediction of Covid-19 Using CEDCNN Classifier
AU 29.10.2020
Int.Class G16H 50/80
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No 2020102631 Applicant A, Anbuchezian DR Inventor
The Severity Level and Early Prediction of Covid-19 Using CEDCNN Classifier The rapid spread of Coronavirus disease 2019 (COVID-19) has brought doctors, researchers, and data scientists together to find a solution. Scientists are using sophisticated technologies, such as big data analytics, machine learning, and natural language processing for tracking the virus and learning more about it. On the one hand, the excess of stored data has considerably increased the opportunities to interrelate and analyze them. This proposed invention is to predict the severity level and early prediction of COVID-19 using Cross Entropy-based Deep Convolutional Neural Network (CEDCNN) for big data. This invented work is composed of '3' steps, namely, disease prediction, severity level analysis, and early prediction. In the first phase, initially, the dataset is preprocessed, then the important features are extracted from the dataset, and finally, the disease is clustered into positive and predictive using Taxicab Norm K Means (TNKM). In phase 2, the proposed system utilizes CEDCNN for severity analysis, which classifies a high, low, and moderate level. In phase 3, the non-coronavirus data undergoes preprocessing, and then important features are extracted from the dataset. Finally, the potential level of the patient against the coronavirus is predicted by the Mahalanobis Distance Ranking (MDR) method.
2.2020102382AN ARTIFICIAL INTELLIGENCE BASED SYSTEM FOR COVID PREVENTION
AU 08.10.2020
Int.Class G16H 50/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No 2020102382 Applicant Bhasin, Narinder Kumar DR Inventor
The present invention relates to an artificial intelligence based system for COVID prevention. The proposed invention incorporates a definite number of subsystems each enabling checks and/or preventive actions against the most obvious symptoms of coronavirus. The invention has to be deployed at the entry point of the place of human assembly restricts the virus-infected people from entering the premise
3.20200291490Risk Stratification for Contagious Disease
US 17.09.2020
Int.Class C12Q 1/70
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
70involving virus or bacteriophage
Appl.No 16855046 Applicant SENSIVA HEALTH LLC Inventor Tarun Jolly

A method of risk stratification for contagious disease is provided. The method performs a reverse transcriptase polymerase chain reaction (RT-PCR) test on a patient to determine the presence of a viral infection. The method next performs tests for the presence of antibody Immunoglobulin M (IgM) and Immunoglobulin G (IgG) assays. The method assigns the patient a level of readiness to return to society corresponding to the combination of the results of the qualitative RT-PCR, IgM, and IgG tests and quantitative IgG+ antibody testing. The levels of readiness to return to society may be verified by a QR code on a mobile device.

4.2020102448EARLY COVID PREDICTION: NEURO FUZZY MULTI-LAYERED DATA CLASSIFIER
AU 15.10.2020
Int.Class G16H 50/80
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No 2020102448 Applicant Hari Krishna, T. DR Inventor
Coronavirus disease (COVID-19) is a harmful disease caused from new SARS-CoV-2 virus. COVID-19 disease includes the symptoms such as cold, cough, fever and difficulty in breathing. COVID-19 has affected many countries and their spread in world has put humanity at risk. Due to increasing number of cases and their stress on administration as well as health professionals, different prediction techniques were introduced to predict the corona virus disease existence in patients. However, the accuracy was not improved and time consumption was not minimized during the disease prediction. In order to address these problems, Least Square Regressive Gaussian Neuro Fuzzy Multi-Layered Data Classification (LSRGNFM-LDC) Technique is introduced in this article. LSRGNFM-LDC Technique performs efficient COVID prediction with better accuracy and lesser time consumption through feature selection and classification. Deming Least Square Regressive Feature Selection process is carried out for selecting the most relevant features through identifying the line of best fit. After the feature selection process, the data classification is carried out using neuro-fuzzy classifier with help of fuzzy if-then rules for performing prediction process. Finally, the patient data is predicted as the higher risk patient data, medium risk patient data or higher risk patient data in more accurate manner with higher accuracy and lesser time consumption. Experimental evaluation is performed by Novel Corona Virus 2019 Dataset using different metrics like prediction accuracy, prediction time and error rate. The result shows that LSRGNFM-LDC Technique improves the accuracy and minimizes the time consumption as well as error rate than existing works during COVID prediction. EARLY COVID PREDICTION: NEURO FUZZY MULTI-LAYERED DATA CLASSIFIER Diagram Diagram Fuzzy Pedni he efficient d6da prediction Fig 1: EARLY COVID PREDICTION II P a g e
5.2020101336AN EFFICIENT MACHINE LEARNING TECHNIQUE TO TRACK THE COVID PATIENTS ALONG WITH SECONDARY CONTACTS
AU 30.07.2020
Int.Class G16H 10/60
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
Appl.No 2020101336 Applicant D, SAISANTHIYA MRS Inventor
An efficient machine learning technique to track the COVID patients along with Primary and secondary contact lists is the proposed invention, which plays a vital role to avoid the spread of this highly contagious disease. Pandemics are bane to the world which will affect the economy and life style of the citizens of any country that is affected. Thus there is a need to automate the process of tracking down the contact list of the COVID patient and monitor the quarantined person 24*7 to check whether the person is violating the isolation rules or not. The invention aims at implementing machine learning and artificial intelligence techniques to statistically analyze the case studies and arriving at conclusions in fraction of time.
6.2020102228A SYSTEM FOR DETECTION OF CORONA VIRUS IN HUMAN BODY USING ARTIFICIAL INTELLIGENCE
AU 01.10.2020
Int.Class G16H 50/80
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No 2020102228 Applicant Agrawal, Pankaj DR Inventor
The present invention relates to a system for detection of corona virus in human body using artificial intelligence. The proposed can detect likelihood of the Covid-19, measure oxygen saturation and temperature of the patient. Invented system comprises a testing stand which having stethoscopes connected to a microphone to listen and record the respiratory sounds of the patient, a pulse oximeter to measure the oxygen saturation level of the patient, an IR temperature sensor to measure the temperature of the patient and a computer which comprises of a machine learning software to combine and analyse all readings to produce the final result. Following invention described in detail with the help of figure 1A of sheet 1 shows covid-19 diagnostic system with a patient, figure 1B of sheet 1 shows expanded view of covid-19 diagnostic system. Figure 1A
7.2020101728Smart COVID Scanner: Portable and Affordable Scanner to Detect COVID-19 Virus
AU 27.08.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 2020101728 Applicant Balusamy, Balamurugan PROF Inventor
The world is facing the situation of an outbreak of the most recent corona virus called COVID-19 that has impacted the entire humanity. So scientists and researchers from diverse backgrounds are continuously working together to fight against this very new type of virus. So there's an urgent need for preventive equipment like sanitizers, masks to prevent individuals from getting infected, as prevention is the only available cure for now. Apart from this, the technology can also help to fight against COVID-19 as nowadays advanced technologies are being used as a critical component in these types of scenarios. The proposed solution is a portable scanner that can detect the COVID-19 virus over any surface or person & warn the user prior to its spreading. The scanner works with micro bio scanner that captures/detects the virus just like electron microscope emits rays for detection of microorganism, in the same way, this bio scanner which is integrated with Al-based system detects the COVID particles and classifies the virus based on the past training about the texture, size, and shape of COVID droplets. This scanner can be a great tool against COVID-19 and can be used in a wide range of applications so as to prevent the further spreading of this deadly virus. Smart COVID Scanner: Portable and affordable scanner to detect COVID-19 virus Diagram Fig 1: Smart COVID Scanner
8.20200279585System and Method for Testing for COVID-19
US 03.09.2020
Int.Class G11B 27/10
GPHYSICS
11INFORMATION STORAGE
BINFORMATION STORAGE BASED ON RELATIVE MOVEMENT BETWEEN RECORD CARRIER AND TRANSDUCER
27Editing; Indexing; Addressing; Timing or synchronising; Monitoring; Measuring tape travel
10Indexing; Addressing; Timing or synchronising; Measuring tape travel
Appl.No 16876114 Applicant Richard A. Rothschild Inventor Richard A. Rothschild

A method is provided for acquiring and transmitting biometric data (e.g., vital signs) of a user, where the data is analyzed to determine whether the user is suffering from a viral infection, such as COVID-19. The method includes using a pulse oximeter to acquire at least pulse and blood oxygen saturation percentage, which is transmitted wirelessly to a smartphone. To ensure that the data is accurate, an accelerometer within the smartphone is used to measure movement of the smartphone and/or the user. Once accurate data is acquired, it is uploaded to the cloud (or host), where the data is used (alone or together with other vital signs) to determine whether the user is suffering from (or likely to suffer from) a viral infection, such as COVID-19. Depending on the specific requirements, the data, changes thereto, and/or the determination can be used to alert medical staff and take corresponding actions.

9.20200253562SYSTEM AND METHOD FOR SCREENING AND PREDICTION OF SEVERITY OF INFECTION
US 13.08.2020
Int.Class A61B 5/00
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes; Identification of persons
Appl.No 16848646 Applicant Sanmina Corporation Inventor Robert Steven Newberry

A photoplethysmography (PPG) circuit obtains PPG signals at a plurality of wavelengths of light reflected from tissue of a user. A processing device generates parameters using the PPG signals to screen the user for an infection, such as sepsis, influenza and/or COVID-19. The processing device may also determine a severity level of the infection and a confidence level in the determination. The parameters may include a measurement of nitric oxide (NO) level, respiration rate, heart rate and/or oxygen saturation.

10.2020100564CORONAVIRUS IMPACT ON THE WORLD ECONOMY PROBLEMS SOLVING: I invent the equation for solving the forecast of number of COVID-19 cases in the future so to help a country can re open the business as early as possible in the minimizes of COVID-19
AU 30.04.2020
Int.Class G16H 50/80
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No 2020100564 Applicant PHAN, HUNG THANH MR Inventor
A method of solving problems on the coronavirus impact on the world economy by forecasting and controlling the spread of the virus.