nlpmed_engine.data_structures package

Submodules

nlpmed_engine.data_structures.note module

class nlpmed_engine.data_structures.note.Note(text: str, sections: list[nlpmed_engine.data_structures.section.Section] = <factory>, preprocessed_text: str | None = None, predicted_label: str | None = None, predicted_score: float | None = None)

Bases: object

predicted_label: str | None

predicted_score: float | None

preprocessed_text: str | None

sections: list[Section]

text: str

nlpmed_engine.data_structures.patient module

class nlpmed_engine.data_structures.patient.Patient(patient_id: str, notes: list[nlpmed_engine.data_structures.note.Note] = <factory>)

Bases: object

add_note(note: Note) → None

static from_json(json_data: str) → Patient

notes: list[Note]

patient_id: str

nlpmed_engine.data_structures.section module

class nlpmed_engine.data_structures.section.Section(text: str, start_index: int, end_index: int, sentences: list[nlpmed_engine.data_structures.sentence.Sentence] = <factory>, important_indices: list[int] = <factory>, duplicate_indices: list[int] = <factory>, expanded_indices: list[int] = <factory>, is_important: bool = False)

Bases: object

duplicate_indices: list[int]

end_index: int

expanded_indices: list[int]

important_indices: list[int]

is_important: bool

sentences: list[Sentence]

start_index: int

text: str

nlpmed_engine.data_structures.sentence module

class nlpmed_engine.data_structures.sentence.Sentence(text: str, start_index: int, end_index: int, is_duplicate: bool = False, is_important: bool = False, is_expanded: bool = False)

Bases: object

end_index: int

is_duplicate: bool

is_expanded: bool

is_important: bool

start_index: int

text: str

Module contents