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ct-dosing-errors

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metadata 
license: cc-by-4.0
task_categories:
  - text-classification
dataset_version: 0.2.3
dataset_info:
  features:
    - name: FEATURE_phases
      list:
        class_label:
          names:
            '0': NA
            '1': EARLY_PHASE1
            '2': PHASE1
            '3': PHASE2
            '4': PHASE3
            '5': PHASE4
    - name: FEATURE_enrollmentCount
      dtype: int64
    - name: FEATURE_allocation
      dtype: string
    - name: FEATURE_interventionModel
      dtype: string
    - name: FEATURE_primaryPurpose
      dtype:
        class_label:
          names:
            '0': TREATMENT
            '1': PREVENTION
            '2': DIAGNOSTIC
            '3': ECT
            '4': SUPPORTIVE_CARE
            '5': SCREENING
            '6': HEALTH_SERVICES_RESEARCH
            '7': BASIC_SCIENCE
            '8': DEVICE_FEASIBILITY
            '9': OTHER
    - name: FEATURE_masking
      dtype:
        class_label:
          names:
            '0': NONE
            '1': SINGLE
            '2': DOUBLE
            '3': TRIPLE
            '4': QUADRUPLE
    - name: FEATURE_healthyVolunteers
      dtype: bool
    - name: FEATURE_sex
      dtype:
        class_label:
          names:
            '0': ALL
            '1': FEMALE
            '2': MALE
    - name: FEATURE_oversightHasDmc
      dtype: bool
    - name: FEATURE_briefSummary
      dtype: string
    - name: FEATURE_detailedDescription
      dtype: string
    - name: FEATURE_conditions
      dtype: string
    - name: FEATURE_conditionsKeywords
      dtype: string
    - name: FEATURE_protocolPdfText
      dtype: string
    - name: FEATURE_numArms
      dtype: int64
    - name: FEATURE_armDescriptions
      dtype: string
    - name: FEATURE_armGroupTypes
      list:
        class_label:
          names:
            '0': EXPERIMENTAL
            '1': ACTIVE_COMPARATOR
            '2': PLACEBO_COMPARATOR
            '3': SHAM_COMPARATOR
            '4': NO_INTERVENTION
            '5': OTHER
    - name: FEATURE_numInterventions
      dtype: int64
    - name: FEATURE_interventionTypes
      list:
        class_label:
          names:
            '0': DRUG
            '1': DEVICE
            '2': BIOLOGICAL
            '3': PROCEDURE
            '4': RADIATION
            '5': BEHAVIORAL
            '6': GENETIC
            '7': DIETARY_SUPPLEMENT
            '8': COMBINATION_PRODUCT
            '9': DIAGNOSTIC_TEST
            '10': OTHER
    - name: FEATURE_interventionDescriptions
      dtype: string
    - name: FEATURE_interventionNames
      dtype: string
    - name: FEATURE_numLocations
      dtype: int64
    - name: FEATURE_locationDetails
      dtype: string
    - name: LABEL_ct_level_ade_population
      dtype: int64
    - name: LABEL_sum_dosing_errors
      dtype: int64
    - name: LABEL_dosing_error_rate
      dtype: float32
    - name: LABEL_wilson_label
      dtype: int64
    - name: METADATA_nctId
      dtype: string
    - name: METADATA_overallStatus
      dtype:
        class_label:
          names:
            '0': ACTIVE_NOT_RECRUITING
            '1': COMPLETED
            '2': ENROLLING_BY_INVITATION
            '3': NOT_YET_RECRUITING
            '4': RECRUITING
            '5': SUSPENDED
            '6': TERMINATED
            '7': WITHDRAWN
            '8': AVAILABLE
            '9': NO_LONGER_AVAILABLE
            '10': TEMPORARILY_NOT_AVAILABLE
            '11': APPROVED_FOR_MARKETING
            '12': WITHHELD
            '13': UNKNOWN
    - name: METADATA_completionDate
      dtype: date32
    - name: METADATA_startDate
      dtype: date32
    - name: METADATA_leadSponsorName
      dtype: string
    - name: METADATA_leadSponsorClass
      dtype:
        class_label:
          names:
            '0': NIH
            '1': FED
            '2': OTHER_GOV
            '3': INDIV
            '4': INDUSTRY
            '5': NETWORK
            '6': AMBIG
            '7': OTHER
            '8': UNKNOWN
    - name: METADATA_hasProtocol
      dtype: bool
    - name: METADATA_hasSap
      dtype: bool
    - name: METADATA_hasIcf
      dtype: bool
    - name: METADATA_protocolPdfLinks
      dtype: string
    - name: METADATA_count_Accidental drug intake by child
      dtype: int64
    - name: METADATA_count_Accidental overdose
      dtype: int64
    - name: METADATA_count_Accidental overdose (therapeutic agent)
      dtype: int64
    - name: METADATA_count_Accidental underdose
      dtype: int64
    - name: METADATA_count_Deliberate overdose
      dtype: int64
    - name: METADATA_count_Dose calculation error
      dtype: int64
    - name: METADATA_count_Drug administration error
      dtype: int64
    - name: METADATA_count_Drug overdose
      dtype: int64
    - name: METADATA_count_Drug overdose accidental
      dtype: int64
    - name: METADATA_count_Extra dose administered
      dtype: int64
    - name: METADATA_count_Incorrect dosage administered
      dtype: int64
    - name: METADATA_count_Incorrect dose administered
      dtype: int64
    - name: METADATA_count_Incorrect drug administration duration
      dtype: int64
    - name: METADATA_count_Incorrect drug administration rate
      dtype: int64
    - name: METADATA_count_Incorrect product administration duration
      dtype: int64
    - name: METADATA_count_Intentional overdose
      dtype: int64
    - name: METADATA_count_Medication error
      dtype: int64
    - name: METADATA_count_Medication monitoring error
      dtype: int64
    - name: METADATA_count_Multiple drug overdose
      dtype: int64
    - name: METADATA_count_Multiple drug overdose accidental
      dtype: int64
    - name: METADATA_count_Multiple drug overdose intentional
      dtype: int64
    - name: METADATA_count_Multiple use of single-use product
      dtype: int64
    - name: METADATA_count_Non-accidental overdose
      dtype: int64
    - name: METADATA_count_Overdose
      dtype: int64
    - name: METADATA_count_Overdose NOS
      dtype: int64
    - name: METADATA_count_Overmedication
      dtype: int64
    - name: METADATA_count_Prescribed overdose
      dtype: int64
    - name: METADATA_count_Treatment noncompliance
      dtype: int64
    - name: METADATA_count_Underdose
      dtype: int64
    - name: METADATA_count_Unintentional medical device removal
      dtype: int64
    - name: METADATA_count_Unintentional medical device removal by patient
      dtype: int64
    - name: METADATA_wilson_lower_bound
      dtype: float32
  splits:
    - name: train
      num_bytes: 1263717270
      num_examples: 29478
    - name: validation
      num_bytes: 1381971767
      num_examples: 6316
    - name: test
      num_bytes: 1534015699
      num_examples: 6318
  download_size: 1829605503
  dataset_size: 4179704736
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Dataset Card for ct-dosing-errors

This dataset provides the materials accompanying the paper "Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning".

The dataset is designed for the prediction of dosing errors in interventional clinical research. It comprises 42,112 clinical trials extracted from ClinicalTrials.gov, containing structured, semi-structured trial data, and unstructured protocol-related free-text data.

Links

Sample Usage

You can load the dataset using the datasets library:

from datasets import load_dataset

ds = load_dataset(
    "ds4dh/ct-dosing-errors",
    split="train"
)

print(ds)
print(ds.features)

Dataset Summary

The dataset includes labels for the prediction of dosing errors derived from adverse event reports and MedDRA terminology. It features a wide range of fields including:

  • Textual data: Brief summaries, detailed descriptions, conditions, and protocol PDF text.
  • Structured data: Clinical trial phases, enrollment counts, allocation, and intervention types.
  • Labels: Binary indicators (LABEL_wilson_label) for elevated dosing error rates.

Version

This repository contains dataset version 0.2.3.

License

This dataset is licensed under CC BY 4.0 (cc-by-4.0).