Abstract:
Disclosed are methods and systems for generating a media mix model. A time series data set is received specifying media delivered to recipients via a plurality of media channels at a plurality of times and one or more responses at the plurality of times. A random forest model is trained, the random forest splitting the time series data into subsets based on media channel of the plurality of media channels. Response curves are generated using the trained random forest model, each of the response curves corresponding to a media channel of the plurality of media channels, the response curves forming a media mix model adapted to predict responses based on media delivered and media channel.
Abstract:
An improved system for determining clinical trial site performance includes a site data filter for separating data corresponding to a clinical trial site into at least one site performance factor category data stream, where each site performance factor category comprises at least one site performance factor and each factor comprises at least one factor choice, a data stream analyzer for analyzing the site performance factor category data stream to determine a factor choice met for each site performance factor and to output a value for the determined factor choice, where the determined factor choice is multiplied by a weighting value, and an aggregator for aggregating the weighted, determined factor choices into a site performance index, where the weighting value is adjusted based on a user's input. An improved method for determining clinical trial site performance is also described and claimed.
Abstract:
A method for determining a site performance index includes receiving data from one or more clinical trial sites, associating the clinical trial site data with at least one site performance factor, calculating a weighting value for the site performance factor, and generating the site performance index based on the weighted site performance factor. An apparatus for determining a site performance index is also described and claimed and includes a site data filter, a data stream analyzer, and an aggregator.
Abstract:
The present invention provides an imaging service method and system by which medical images stored in the DICOM standard in a central medical imaging repository may be seamlessly and securely accessed, and operated on, by electronic data capture (EDC) or eClinical data systems. The interoperability between web-based Medical Imaging Repositories and eClinical systems provided by the present invention may increase data quality and visibility to clinical workflow involving medical imaging, decrease delays in accessing images and their clinical measurements, and improve the functionality of DICOM-based MIR systems by providing measurement-based versions.
Abstract:
A method for determining net complexity of a clinical trial includes determining procedures to be performed during the clinical trial, determining which of the procedures may be routinely performed on clinical trial subjects suffering from the disease that the drug under test is designed to treat, determining the net procedures to be performed for the clinical trial itself, and calculating a complexity score for the net procedures. An apparatus for determining net complexity of a clinical trial is also described and claimed.
Abstract:
Detecting serious adverse events from Electronic Data Capture (EDC) data for clinical trials. A method includes extracting clinical data from EDC data of a plurality of clinical trials, the clinical data comprising form names and field names. The clinical data is standardized across the plurality of clinical trials to generate subject-level data and adverse event data. The adverse event data is used to produce standardized adverse events. A serious adverse event model is trained by inputting the standardized adverse events, trial-level features, and the subject-level data. The trained serious adverse event model is used to determine a probability that a standardized adverse event is a serious adverse event.
Abstract:
A method for generating a synthetic dataset from an original dataset includes encoding categorical features of the original dataset, embedding the encoded dataset in a low-dimensional space, selecting a seed record from the embedded dataset, identifying a plurality of nearest neighbor records to the seed record, generating a new record by randomly selecting features from the plurality of nearest neighbor records, and concatenating the new record into the synthetic dataset. For a synthetic dataset that contains N records, which may be the same as or different from the number of records in the original dataset, the selecting, identifying, generating, and concatenating operations operate a total of N times on the records in the embedded dataset.
Abstract:
An apparatus for performing a remote test of range of motion of a person operating a user device includes a transceiver, a processor, and a display. The transceiver is configured to transmit a link to the user device and to receive motion data from the user device. The processor is configured to calculate in real time, based on the motion data, the position of the user device to enable real-time display to a test provider of the performance of the test and to determine in real time the quality of the test. The display is configured to show in real time a continuous indication of the performance of the test and quality results of the test. A method for performing a remote test of range of motion of a person operating a user device is also described and claimed.
Abstract:
Apparatus, systems, and methods for monitoring head acceleration and/or forces acting thereon are disclosed. A device for monitoring an acceleration or a force acting on the head of a user includes a flexible article adapted to be worn on the head of the user; and a monitoring assembly coupled to the flexible article. The monitoring assembly includes a sensor for measuring a force on the head and transmitting data relating to the force, the sensor disposed proximate to the head, a processor adapted to receive the force data from the sensor, and a flexible strip operatively connecting the sensor and the processor.
Abstract:
Allowing access to regulated content (e.g., FDA regulated) via mobile devices can increase operational efficiency of companies that have this type of content, and allow users to quickly interact with this content even when outside of the company office. Yet, mobile devices present security issues in ensuring that the integrity of the regulated content is maintained. A regulated content management system applies a multi-step validation and authentication process to allow mobile access to regulated content. The system validates a mobile application installed on the device for regulated content access, the mobile device itself, and the credentials of the user trying to access the content before access is granted. This thus provides users with access to regulated content in a mobile environment while maintaining the integrity of the regulated content.