Research Article
A Time-Critical Topic Model for Predicting the Survival Time of Sepsis Patients
| Notation | Description |
| M | Patient m | | Parameter | | A K-dimensional normal random variable | | Topic variable | | Latent topic (latent disease) | | Total number of latent topics | | A set of bigrams in a note | | Number of bigram results by | | Size of notes dictionary | | The probability of words appearing in topics of notes dictionary | | The probability of -th bigram appearing in k topic of notes dictionary, | | Measurement | | Number of measurement results by | | Size of measurement dictionary | | The probability of measurements appearing in the topics of measurement dictionary | | The probability of the -th measurement appearing in k topics of measurement dictionary |
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