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rename eds.measurements pipe to eds.quantities
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VITTOZ Simon authored and svittoz committed Aug 28, 2024
1 parent 4659bd5 commit fff384a
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4 changes: 4 additions & 0 deletions changelog.md
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- Numbers are now only detected without trying to remove the pollution in between digits, ie `55 @ 77777` could be detected as a full number before, but not anymore.

### Changed

- Rename `eds.measurements` to `eds.quantities`

## v0.13.0

### Added
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4 changes: 2 additions & 2 deletions demo/app.py
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"Drugs": "drugs",
"CIM10": "cim10",
"Dates": "dates",
"Measurements": "measurements",
"Quantities": "quantities",
"Charlson": "charlson",
"SOFA": "sofa",
"Elston & Ellis": "elston_ellis",
Expand Down Expand Up @@ -220,7 +220,7 @@ def load_model(custom_regex: str, **enabled):

doc = nlp(text)
doc.ents = filter_spans(
(*doc.ents, *doc.spans.get("dates", []), *doc.spans.get("measurements", []))
(*doc.ents, *doc.spans.get("dates", []), *doc.spans.get("quantities", []))
)

st.header("Visualisation")
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2 changes: 1 addition & 1 deletion docs/pipes/misc/index.md
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Expand Up @@ -12,7 +12,7 @@ For instance, the date detection and normalisation pipeline falls in this catego
|--------------------------|---------------------------------------------|
| `eds.dates` | Date extraction and normalisation |
| `eds.consultation_dates` | Identify consultation dates |
| `eds.measurements` | Measure extraction and normalisation |
| `eds.quantities` | Quantity extraction and normalisation |
| `eds.sections` | Section detection |
| `eds.reason` | Rule-based hospitalisation reason detection |
| `eds.tables` | Tables detection |
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8 changes: 0 additions & 8 deletions docs/pipes/misc/measurements.md

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8 changes: 8 additions & 0 deletions docs/pipes/misc/quantities.md
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# Quantities {: #edsnlp.pipes.misc.quantities.factory.create_component }

::: edsnlp.pipes.misc.quantities.factory.create_component
options:
heading_level: 2
show_bases: false
show_source: false
only_class_level: true
2 changes: 1 addition & 1 deletion docs/pipes/ner/index.md
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We provide several Named Entity Recognition (NER) components.
Named Entity Recognition is the task of identifying short relevant spans of text, named entities, and classifying them into pre-defined categories.
In the case of clinical documents, these entities can be scores, disorders, behaviors, codes, dates, measurements, etc.
In the case of clinical documents, these entities can be scores, disorders, behaviors, codes, dates, quantities, etc.

## Span setters: where are stored extracted entities ? {: #edsnlp.pipes.base.SpanSetterArg }

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2 changes: 1 addition & 1 deletion edsnlp/pipes/__init__.py
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Expand Up @@ -20,7 +20,7 @@
from .core.terminology.factory import create_component as terminology
from .misc.consultation_dates.factory import create_component as consultation_dates
from .misc.dates.factory import create_component as dates
from .misc.measurements.factory import create_component as measurements
from .misc.quantities.factory import create_component as quantities
from .misc.reason.factory import create_component as reason
from .misc.sections.factory import create_component as sections
from .misc.tables.factory import create_component as tables
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4 changes: 0 additions & 4 deletions edsnlp/pipes/misc/measurements/__init__.py

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4 changes: 4 additions & 0 deletions edsnlp/pipes/misc/quantities/__init__.py
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from edsnlp.pipes.misc.quantities.quantities import QuantitiesMatcher
from edsnlp.pipes.misc.quantities.patterns import *

from . import factory
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from edsnlp.core import registry

from . import patterns
from .measurements import MeasurementsMatcher
from .quantities import QuantitiesMatcher

DEFAULT_CONFIG = dict(
measurements=list(patterns.common_measurements.keys()), # noqa: E501
quantities=list(patterns.common_quantities.keys()), # noqa: E501
units_config=patterns.units_config,
number_terms=patterns.number_terms,
number_regex=patterns.number_regex,
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)

create_component = registry.factory.register(
"eds.measurements",
"eds.quantities",
assigns=["doc.spans", "doc.ents"],
deprecated=["eds.measures"],
)(MeasurementsMatcher)
deprecated=["eds.measures", "eds.measurements"],
)(QuantitiesMatcher)
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)?"""


common_measurements = {
common_quantities = {
"weight": {
"unit": "kg",
"unitless_patterns": [
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