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README.md
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pretty_name: Traditional Medicine Safety Dataset
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size_categories:
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- 10K<n<100K
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dataset_info:
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features:
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- name: country
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dtype: string
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- name: patient_age
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dtype: int64
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- name: gender
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dtype: string
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- name: practitioner_type
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dtype: string
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- name: years_practicing
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dtype: int64
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- name: reason_for_visit
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dtype: string
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- name: herb_type
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dtype: string
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- name: preparation_method
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dtype: string
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- name: administration_route
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dtype: string
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- name: dosage_known
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dtype: int64
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- name: frequency_daily
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dtype: int64
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- name: duration_weeks
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dtype: int64
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- name: concurrent_western_meds
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dtype: string
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- name: disclosure_to_doctor
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dtype: int64
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- name: adverse_event
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dtype: string
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- name: severity
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dtype: string
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- name: time_to_onset_days
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dtype: int64
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- name: outcome
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dtype: string
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- name: hospitalisation_required
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dtype: int64
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- name: previous_adverse_events
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dtype: int64
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- name: registration_status
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dtype: int64
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- name: quality_control
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dtype: int64
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- name: label
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dtype: int64
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- name: practitioner_experience_score
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dtype: float64
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- name: herb_risk_score
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dtype: float64
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- name: concurrent_med_risk
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dtype: float64
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- name: care_integration_score
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dtype: float64
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- name: patient_vulnerability
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dtype: float64
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- name: event_severity_score
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dtype: float64
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- name: high_risk_traditional
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dtype: float64
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splits:
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- name: train
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num_bytes: 2845971
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num_examples: 10000
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download_size: 137715
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dataset_size: 2845971
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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# Traditional Medicine Safety Dataset
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pretty_name: Traditional Medicine Safety Dataset
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size_categories:
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- 10K<n<100K
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---
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# Traditional Medicine Safety Dataset
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