one is compiling statistics or training predictive algorithms that model the language or attributes in notes. We developed an algorithm to identify and characterize highly similar notes within the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC-III) dataset. We found that there were multiple instances of exact copies, common outputs, and template notes form the public domain MIMI...

In this paper we propose a new approach (based on the Multiple Indicator Multiple Cause (MIMIC) model of Joreskog and Goldberger (1975)) to assess the performance of firms assuming that the „true‟ firm performance is latent but there are many observable indicators of it. In our MIMIC model, the latent firm performance variable is linked with some observed explanatory variables (determinants) li...

This paper describes MIMIC, an adaptive mixed initiative spoken dialogue system that provides movie showtime information. MIMIC improves upon previous dialogue systems in two respects. First, it employs initiative-oriented strategy adaptation to automatically adapt response generation strategies based on the cumulative effect of information dynamically extracted from user utterances during the ...

This paper introduces a versatile language for specifying facial animations. The language Mimic can be used together with any facial animation system that employs animation parameters varying over time to control the animation. In addition to the automatic alignment of individual actions, the user can fine-tune the temporal alignment of actions relatively to each other. A set of predefined func...

This paper presents an approach to automatically mine rules in time series data representing physiological parameters in clinical conditions. The approach is fully data driven, where prototypical patterns are mined for each physiological time series data. The generated rules based on the prototypical patterns are then described in a textual representation which captures trends in each physiolog...

A MIMIC (multiple indicators and multiple causes) model serves as a strong statistical validation technique for a set of formative indicators (Bagozzi 2011; Cenfetelli and Bassellier 2009; Diamontopoulos and Winklhofer 2001; Jöreskog and Goldberger 1975), and can be used when reflective indicators of related constructs to the focal formative construct are available. The method uses the reflecti...

We present an automatic mortality prediction scheme based on the unstructured textual content of clinical notes. Proposing a convolutional document embedding approach, our empirical investigation using the MIMIC-III intensive care database shows significant performance gains compared to previously employed methods such as latent topic distributions or generic doc2vec embeddings. These improveme...