Abstract: A semiconductor device includes a substrate that includes an element separation film, an active region defined by the element separation film and arranged in a first direction, and a trench positioned across the active region and the element separation film, a bit line contact that is positioned within the trench and is connected to the active region, a bit line structure that is connected to the substrate through the bit line contact and that extends in a second direction different from the first direction across the active region, and a first contact spacer, a second contact spacer, and a third contact spacer within the trench and around the bit line contact, the first contact spacer being continuous within the trench, and each of the second contact spacer and the third contact spacer being separated into at least two discrete parts within the trench.

Abstract: A plurality of events are extracted from a plurality of electronic health records associated with a first patient. The extracted plurality of events are analyzed to identify a plurality of stimulus events and a plurality of response events. An association between a first stimulus event and a first response event is determined. A stimulus-response (SR) variable is generated for the first patient based at least in part on the determined association, and the generated SR variable is integrated into one or more predictive cognitive models.

Abstract: A computer-implemented method for transaction authorization is disclosed. The computer-implemented method includes receiving a transaction request from a user to access a resource. The computer-implemented method further includes determining historical biometric data for the user. The computer-implemented method further includes determining current biometric data for the user at a time the transaction request is received. The computer-implemented method further includes determining whether the historical biometric data for the user matches the current biometric data for the user at the time the transaction request is received. The computer-implemented method further includes responsive to determining that the historical biometric data for the user matches the current biometric data for the user at the time the transaction request is received, authorizing the transaction request to access the resource.

Abstract: A plurality of attributes are extracted from a plurality of electronic health records, where each electronic health record is associated with a patient in a plurality of patients. Additionally, a training data set and a scoring data set are generated based on the plurality of attributes, and a patient similarity model is trained based on the training data set. A precision cohort is identified, where the precision cohort includes patients in the plurality of patients from the scoring data set that are similar to a first patient based on an electronic health record of the first patient and the similarity model. At least one result statistic for each of a plurality of treatments given to patients in the precision cohort is determined, and a first treatment of the plurality of treatments is selected for the first patient based at least in part on the determined result statistics.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate anonymizing a network based on factors including network attributes, node attributes, and edge attributes describing connections between nodes are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an anonymizing component that can anonymize network information of the network based on a network attribute for a network and a node attribute of a first node of the network, resulting in an anonymized network.

Abstract: Embodiments provide a system and method for a customized alert generation for medication adherence. Medication intake instructions and user data are collected and analyzed to determine an availability model of the user to take the medication. A suggested arrangement for the user to take the medication based on the availability model is determined, and the user is alerted according to the suggested arrangement. The user provides feedback on whether the medication was taken upon receiving the alert, and the feedback trains the availability model to provide an improved suggested arrangement for taking the medication.

Abstract: A verification device is configurable for verifying the identity of a person. The verification device may be in communication with a user device and an entity device that may request an authorization decision from the verification device. The verification device may have a collection system configured to populate a voice profile database with a plurality of voice profiles in the form of audio recordings of people. The verification device may also have a testing system configured to select one of the voice profiles, provide the voice profile to an end-user device, and receive an answer from the end-user device, the answer being an attempt by the person to identify an individual associated with the voice profile. The verification device may further have an authentication system configured to determine whether the identity of the person is verified based on the answer from the end-user device.

Abstract: A study design guide method, system, and computer program product, include specifying a search parameter, analyzing a collection of unstructured documents using the search parameter, creating a list of informative terms and informative phrases related to design of a study cohort, and creating a visualization reflecting a level of importance, a frequency, and a relevancy of the informative terms and the informative phrases in relation to each other for a study design using the study cohort.

Abstract: A system and associated method for assessing level of completeness of healthcare data storage based on collected data. The system includes a collection system, a measurement system, an expectation system, and an alerting system. In a method of assessing the health of stored data, the system collects real-time data from at least one data source, determines measurements for a plurality of parameters based on the collected data, and generates expectations for a future period of time for the plurality of parameters based on data analysis technique. The system also compares the expectations for the future period of time to subsequent measurements collected for that period of time to determine whether the subsequent measurements satisfy an expectation threshold and provide an alert to a client terminal. The alert is a result of the comparison of the expectations and the subsequent measurements and provides an assessment of data storage quality and alerts on anticipated deficiencies.

Abstract: Mechanisms are provided to implement a cognitive medical decision support system that operates to analyze a set of commercial transactions executed by a patient to identify at least one of products or services purchased during each commercial transaction or an activity, associated with the commercial transaction, engaged in by the patient. The cognitive medical decision support system determines a lifestyle behavior pattern of the patient based on the products, services, or activities associated with the commercial transactions in the set of commercial transactions and evaluates an impact of the lifestyle behavior pattern to at least one of the overall health of the patient, a specific medical condition of the patient, or a specific previously prescribed treatment of the patient. The cognitive medical decision support system outputs a notification indicating the impact of the lifestyle behavior pattern.

Abstract: Mechanisms are provided to implement a cognitive medical decision support system that operates to analyze a set of commercial transactions executed by a patient to identify at least one of products or services purchased during each commercial transaction or an activity, associated with the commercial transaction, engaged in by the patient. The cognitive medical decision support system determines a lifestyle behavior pattern of the patient based on the products, services, or activities associated with the commercial transactions in the set of commercial transactions and evaluates an impact of the lifestyle behavior pattern to at least one of the overall health of the patient, a specific medical condition of the patient, or a specific previously prescribed treatment of the patient. The cognitive medical decision support system outputs a notification indicating the impact of the lifestyle behavior pattern.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate anonymizing a network based on factors including network attributes, node attributes, and edge attributes describing connections between nodes are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an anonymizing component that can anonymize network information of the network based on a network attribute for a network and a node attribute of a first node of the network, resulting in an anonymized network.

Abstract: A computer-implemented method can include obtaining first website data that corresponds to content displayed on a first website. The method can further include obtaining a set of privacy policy rules that corresponds to the first website. The method can further include determining a first data-sharing relationship between the first website and a second website. The method can further include comparing the set of privacy policy rules to the first data-sharing relationship. The method can further include identifying a discrepancy between the set of privacy policy rules and the first data-sharing relationship. The method can further include generating a notification in response to identifying the discrepancy.

Abstract: A shipment sharing method, system, and computer program product include collecting a shopping order history, neighborhood information and friends' information from user data, analyzing a current order by a user from a shopping service, checking whether a neighbor identified from the neighborhood information and the friend information purchased an item from the shopping service based on the shopping order history, and suggesting to the user to share a packing and shipment cost with the neighbor by combining the purchased one or more items by the neighbor and the current order by the user in a single package.

Abstract: A data analysis system is configured for alerting to the results of a virtual clinical trial. The data analysis system has an extraction system configured to extract a correlation between an ingredient and an effect from a clinical trial document using natural language processing, and extract medical history information for a population exposed to the ingredient and a population unexposed to the ingredient from stored electronic medical records. The data analysis system also has a virtual trial system configured to perform statistical analysis on the medical history information to assess the level of association between the ingredient and the effect, a decision system configured to determine an accuracy score for the correlation based on the statistical analysis, and an alerting system configured to provide the accuracy score to a user interface of an end-user device.

Abstract: Embodiments provide a system and method for a customized alert generation for medication adherence. Medication intake instructions and user data are collected and analyzed to determine an availability model of the user to take the medication. A suggested arrangement for the user to take the medication based on the availability model is determined, and the user is alerted according to the suggested arrangement. The user provides feedback on whether the medication was taken upon receiving the alert, and the feedback trains the availability model to provide an improved suggested arrangement for taking the medication.

Abstract: A verification device is configurable for verifying the identity of a person. The verification device may be in communication with a user device and an entity device that may request an authorization decision from the verification device. The verification device may have a collection system configured to populate a voice profile database with a plurality of voice profiles in the form of audio recordings of people. The verification device may also have a testing system configured to select one of the voice profiles, provide the voice profile to an end-user device, and receive an answer from the end-user device, the answer being an attempt by the person to identify an individual associated with the voice profile. The verification device may further have an authentication system configured to determine whether the identity of the person is verified based on the answer from the end-user device.

Abstract: A system and associated method for assessing level of completeness of healthcare data storage based on collected data. The system includes a collection system, a measurement system, an expectation system, and an alerting system. In a method of assessing the health of stored data, the system collects real-time data from at least one data source, determines measurements for a plurality of parameters based on the collected data, and generates expectations for a future period of time for the plurality of parameters based on data analysis technique. The system also compares the expectations for the future period of time to subsequent measurements collected for that period of time to determine whether the subsequent measurements satisfy an expectation threshold and provide an alert to a client terminal. The alert is a result of the comparison of the expectations and the subsequent measurements and provides an assessment of data storage quality and alerts on anticipated deficiencies.