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 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: 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: A system and associated method provides an assessment of patient's heart health status based on past medical data. The system has a collection system, a processing system, a profiling system, and a user tools system. The collection system collects data from at least one data source having the past medical data of a plurality of patients. The processing system processes unstructured data to extract information related to patient health at different points in time. The profiling system develops a classifier based on the extracted information and other collected data. The profiling system further categorizes the extracted information into one of a plurality of health statuses at the different points in time. The user tools system generates a user interface comprising the plurality of health statuses at the different points in time. The health statuses relate to a compensated or decompensated status of the patient's heart.

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: 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 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: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a cognitive analysis engine for evaluating completeness of electronic medical record data sources. The cognitive analysis engine executing in the data processing system analyzes a plurality of patient electronic medical records (EMRs) from one or more EMR sources to determine whether each EMR in the plurality of patient EMRs satisfies a plurality of tests. Each test determines whether the EMR includes a set of attributes or portions of EMR data. The cognitive analysis engine generates a set of patient EMRs for each test in the plurality of tests based on results of the analysis. Each set of patient EMRs includes EMRs in the plurality of patient EMRs that satisfy the corresponding test. The cognitive analysis engine generates a diagram data structure, representing sets and their relationships.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a cognitive analysis engine for evaluating completeness of electronic medical record data sources. The cognitive analysis engine executing in the data processing system analyzes a plurality of patient electronic medical records (EMRs) from one or more EMR sources to determine whether each EMR in the plurality of patient EMRs satisfies a plurality of tests. Each test determines whether the EMR includes a set of attributes or portions of EMR data. The cognitive analysis engine generates a set of patient EMRs for each test in the plurality of tests based on results of the analysis. Each set of patient EMRs includes EMRs in the plurality of patient EMRs that satisfy the corresponding test. The cognitive analysis engine generates a diagram data structure, representing sets and their relationships.

Abstract: Guard layers are employed in the adsorbent beds of rapid cycle pressure swing adsorption (RCPSA) devices to protect the adsorbent therein from certain contaminants (e.g. water vapour). Conventional PSA devices typically pack the guard layer with as much guard material as is practical. In RCPSA devices however, the performance of the guard layer can be improved by using a reduced amount of guard material and increasing access to it. Such embodiments are characterized by guard layers with a channel fraction of greater than 50%.

Abstract: Guard layers are employed in the adsorbent beds of rapid cycle pressure swing adsorption (RCPSA) devices to protect the adsorbent therein from certain contaminants (e.g. water vapour). Conventional PSA devices typically pack the guard layer with as much guard material as is practical. In RCPSA devices however, the performance of the guard layer can be improved by using a reduced amount of guard material and increasing access to it. Such embodiments are characterized by guard layers with a channel fraction of greater than 50%.

Abstract: An inventive adsorptive gas separation process is provided capable of producing a purified methane product gas as a light non-adsorbed product gas as opposed to a heavy desorbed exhaust gas component, from a feed gas mixture comprising at least methane, and carbon dioxide. In an embodiment of the invention, the feed gas mixture may comprise at least about 10% carbon dioxide, and the purified methane product gas may be desirably purified to contain less than about 5000 ppm carbon dioxide. In another embodiment of the invention, the feed gas mixture may comprise at least about 50% carbon dioxide, and the purified methane product gas may be desirably purified to contain less than about 5000 ppm carbon dioxide.

Abstract: An inventive adsorptive gas separation process is provided capable of producing a purified methane product gas as a light non-adsorbed product gas as opposed to a heavy desorbed exhaust gas component, from a feed gas mixture comprising at least methane, and carbon dioxide. In an embodiment of the invention, the feed gas mixture may comprise at least about 10% carbon dioxide, and the purified methane product gas may be desirably purified to contain less than about 5000 ppm carbon dioxide. In another embodiment of the invention, the feed gas mixture may comprise at least about 50% carbon dioxide, and the purified methane product gas may be desirably purified to contain less than about 5000 ppm carbon dioxide.

Abstract: A method and knowledge-based system for generating a holistic health index for diagnosis and decision support in operational management of biological treatment of waste water with a microbial population; measured parameters of an operating biological treatment employing a microbial population are compared with benchmark values in a data base to generate a comparison value and a holistic health index of the operating microbial population is generated from the comparison values which provide an evaluation of the operational management of the biological treatment. Based on such evaluation the operating parameters of the treatment may be adjusted to maintain the treatment at an optimum level.