Patents by Inventor Kalpana A. Algotar
Kalpana A. Algotar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20220129776Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.Type: ApplicationFiled: June 8, 2021Publication date: April 28, 2022Inventors: Rita Chattopadhyay, Kalpana A. Algotar, Ali Ashrafi, John Pilkin
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Patent number: 11049031Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.Type: GrantFiled: March 31, 2017Date of Patent: June 29, 2021Assignee: Intel CorporationInventors: Rita Chattopadhyay, Kalpana A. Algotar, Ali Ashrafi, John Pilkin
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Automatic prediction of patient length of stay and detection of medical center readmission diagnoses
Patent number: 10957450Abstract: Systems, apparatuses and methods may provide for technology that assigns confidence levels to data bins containing similarity data and length of stay data, wherein the similarity data and the length of stay data correspond to a plurality of previous admissions. Additionally, the confidence levels may be weighted based on a distribution metric that assigns higher weights to denser regions. A length of stay of a target admission may be predicted based on the weighted confidence levels.Type: GrantFiled: December 30, 2016Date of Patent: March 23, 2021Assignee: Intel CorporationInventors: Rita Chattopadhyay, Kalpana A. Algotar, Amith Harsha, Ravindra V. Narkhede -
Patent number: 10909335Abstract: A set of samples are returned by radio frequency identifier (RFID) reader corresponding to the readings of signals emitted from a particular RFID tag, each sample including a respective set of features identifying values of the attributes of the signals as detected. At least some of the features are provided as inputs to a random forest of decision trees, each providing a prediction that the particular RFID tag is located in one of a plurality of defined zones in a particular environment. From outputs of the plurality of decision trees based on the set of samples, it can be determined that the particular RFID tag is located in a particular one of the plurality of zones at a first instance in time.Type: GrantFiled: December 22, 2015Date of Patent: February 2, 2021Assignee: Intel CorporationInventors: Guang-He Lee, Kalpana A. Algotar, Shao-Wen Yang, Addicam V. Sanjay
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Patent number: 10706242Abstract: In various embodiments, an RFID Antenna/Tag Location Configuration device (RLC) may facilitate placement of one or more RFID antennas in a physical space. The RLC may collect RFID data from tags determine which of the RFID antennas need to be relocated. The RLC may determine, based on collected RFID data, whether each antenna is a dominant antenna and/or has a substantial read rate. If an antenna is not dominant and/or does not exhibit a substantial read-rate, the RLC ma indicate that the antenna should be relocated. The RLC may also be configured to filter collected RFID data prior to using the data for determination of antennas. The RLC may also determine, using the RFID antennas, a physical location of RFID tags in the physical space using detected signal strength for RFID tags. Additional embodiments may be described and/or claimed.Type: GrantFiled: June 30, 2016Date of Patent: July 7, 2020Assignee: Intel CorporationInventors: Michael Wu, Addicam V. Sanjay, Daniel Gutwein, Hoang Tran Van, Kalpana Algotar
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Publication number: 20190095808Abstract: Apparatus and methods to dynamically adjust an analytics threshold are disclosed. An example method includes analyzing a set of probabilities of injury to determine minimum and maximum probability in the set based on a request for an injury risk for a target player; determining possible thresholds to divide the probabilities of injury between the minimum and maximum probability; converting the probabilities of injury into percentages of injury based on at least one of the possible thresholds; distributing the percentages of injury into a plurality of bands based on the possible threshold(s); comparing the percentages of injury in each of the plurality of bands according to a criterion; and when the criterion is satisfied, updating a target threshold to classify the injury risk for the target player based on at least one of the possible thresholds dividing the percentages of injury in the plurality of bands and outputting the injury risk for the target player.Type: ApplicationFiled: September 27, 2017Publication date: March 28, 2019Inventors: Rita Chattopadhyay, Kalpana Algotar
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Publication number: 20180373906Abstract: A set of samples are returned by radio frequency identifier (RFID) reader corresponding to the readings of signals emitted from a particular RFID tag, each sample including a respective set of features identifying values of the attributes of the signals as detected. At least some of the features are provided as inputs to a random forest of decision trees, each providing a prediction that the particular RFID tag is located in one of a plurality of defined zones in a particular environment. From outputs of the plurality of decision trees based on the set of samples, it can be determined that the particular RFID tag is located in a particular one of the plurality of zones at a first instance in time.Type: ApplicationFiled: December 22, 2015Publication date: December 27, 2018Applicant: Intel CorporationInventors: Guang-He Lee, Kalpana A. Algotar, Shao-Wen Yang, Addicam V. Sanjay
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AUTOMATIC PREDICTION OF PATIENT LENGTH OF STAY AND DETECTION OF MEDICAL CENTER READMISSION DIAGNOSES
Publication number: 20180189453Abstract: Systems, apparatuses and methods may provide for technology that assigns confidence levels to data bins containing similarity data and length of stay data, wherein the similarity data and the length of stay data correspond to a plurality of previous admissions. Additionally, the confidence levels may be weighted based on a distribution metric that assigns higher weights to denser regions. A length of stay of a target admission may be predicted based on the weighted confidence levels.Type: ApplicationFiled: December 30, 2016Publication date: July 5, 2018Inventors: Rita Chattopadhyay, Kalpana A. Algotar, Amith Harsha, Ravindra V. Narkhede -
Publication number: 20180107936Abstract: A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.Type: ApplicationFiled: March 31, 2017Publication date: April 19, 2018Inventors: Rita Chattopadhyay, Kalpana A. Algotar, Ali Ashrafi, John Pilkin
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Publication number: 20180004986Abstract: In various embodiments, an RFID Antenna/Tag Location Configuration device (RLC) may facilitate placement of one or more RFID antennas in a physical space. The RLC may collect RFID data from tags determine which of the RFID antennas need to be relocated. The RLC may determine, based on collected RFID data, whether each antenna is a dominant antenna and/or has a substantial read rate. If an antenna is not dominant and/or does not exhibit a substantial read-rate, the RLC ma indicate that the antenna should be relocated. The RLC may also be configured to filter collected RFID data prior to using the data for determination of antennas. The RLC may also determine, using the RFID antennas, a physical location of RFID tags in the physical space using detected signal strength for RFID tags. Additional embodiments may be described and/or claimed.Type: ApplicationFiled: June 30, 2016Publication date: January 4, 2018Inventors: Michael Wu, Addicam V. Sanjay, Daniel Gutwein, Hoang Tran Van, Kalpana Algotar
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Publication number: 20170177739Abstract: Techniques for prediction using multimap is described herein. The method for multimap prediction can include generating a user profile graph in the memory device based on user action input received at an input device. The method for multimap prediction can also include matching a user profile graph stored in the memory device to a subgraph of a multimap graph, both comprising nodes and edges, wherein each node indicates at least one of an activity input and a keyword. The method can include providing access to a multimap prediction in the memory device based on the user action input and the subgraph of the multimap graph.Type: ApplicationFiled: December 22, 2015Publication date: June 22, 2017Applicant: Intel CorporationInventors: Kalpana A. Algotar, Addicam V. Sanjay