Abstract: Changes in ctDNA levels can fluctuate significantly over time from patient to patient, and the results can be difficult to interpret. Described herein are methods and techniques capable of capturing these complexities while accounting for a diverse set of patient traits. Furthermore, analyzing an observational dataset consisting of patients with cancer who received therapy, analytic results are capable of being presented graphically. These results demonstrate the utility of the described methods and techniques in acquiring a comprehensive understanding of how response patterns evolve and how different patient characteristics influence these evolutions.

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 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 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 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 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.