Abstract: Described is a disease prediction system using open source data. The system includes a preprocessing module, a learning module, and a prediction module. The preprocessing module receives a dataset of N trend results related to a disease event and generates an enhanced filter signal (EFS) curve related to the disease event. The learning module receives the EFS curve and generates a predicted number of cases of the disease event and, using a plurality of machine learning methods, generates a plurality of predictions that the disease event will happen within a future time period. The prediction module determines precision and recall for each of the plurality of predictions and, based on the precision and recall, provides a likelihood that the disease event will occur.

Abstract: Described is system for predicting significant events using a progress curve model. The system first determines Z-score values for a predetermined period of a time series to generate a Z-score time series. The Z-score time series are partitioned into a plurality of E-periods to define time frames for progress curve model (PCM) fitting. An E-period is defined as a period of escalation and de-escalation. Finally, a future event is predicted based on an absolute Z-score value that is greater than or equal to a predetermined number.

Abstract: A system and method for predicting the location of a user of social media utilizing information related to the interaction of the user with other users of the social media is described.

Abstract: A system and method for predicting the location of a user of social media utilizing information related to the interaction of the user with other users of the social media is described.

Abstract: A system is provided comprising an optically-guided catheter having a proximal end, a distal end, and at least one lumen. A light-emitting means is coupled to the catheter, the catheter is inserted into place in the patient, and light is emitted as a point or points from a selected location, usually the distal tip, of the catheter to which it is coupled. The system further comprises an external detection device that detects the transdermally projected light, emitted by the light-emitting point from within the patient, thereby indicating precise placement of the catheter within the patient. A system and method for three-dimensional visualization using an internally positioned light emitter and an externally positioned detection array are also provided.