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# Canonical Definitions for MEDS Terminology Elements | ||
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#### "vocabulary index" or "code index" | ||
In addition to those terms defined in the | ||
[official MEDS Schema](https://github.com/Medical-Event-Data-Standard/meds), we define the following terms for | ||
use in MEDS-transforms: | ||
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#### _vocabulary index_ or _code index_ | ||
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The integer index (starting from 0, which will always correspond to an `"UNK"` vocabulary element) that | ||
uniquely identifies where in the ordered list of vocabulary elements a given element is located. This will be | ||
used as an integral or positional encoding of the vocabulary element for things like embedding matrices, | ||
output layer logit identification, etc. | ||
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#### A _measurement_ or _patient measurement_ or _observation_ | ||
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A single measurable quantity observed about the patient during their care. These observations can take on many | ||
forms, such as observing a diagnostic code being applied to the patient, observing a patient's admission or | ||
transfer from one unit to another, observing a laboratory test result, but always correspond to a single | ||
measureable unit about a single patient. They are encoded in MEDS datasets as a single row in the main MEDS | ||
schema. | ||
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#### An _event_ or _patient event_ | ||
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All observations about a patient that occur at a unique timestamp (within the level of temporal granularity in | ||
the MEDS dataset). | ||
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#### An _event index_ | ||
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For a given patient, when the set of unique timestamps (including the null timestamp, which corresponds to all | ||
static observations) are sorted in ascending order, the event index is the integer index of the timestamp in | ||
this sorted list. | ||
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#### A _static measurement_ | ||
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A _static_ measurement is one that occurs without a source timestamp being recorded in the raw dataset **and** | ||
that can be interpreted as being applicable to the patient at any point in time during their care. | ||
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#### A _time-derived measurement_ | ||
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Measurements that are time-varying, but can be computed deterministically in advance using only the timestamp | ||
at which a measurement occurs and the patient's static or historical data, such as the patient's age or the | ||
season of the year in which a measurement occurs. These measurements warrant special consideration as they are | ||
often valuable covariates but not targets of prediction in ML use cases. | ||
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#### A _dynamic measurement_ | ||
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Measurements that are time-varying and cannot be computed deterministically in advance. The vast majority of | ||
the data in a MEDS dataset will be dynamic measurements. |