Datasets:

electricsheepafrica
/

ssa-breast-missing-data-patterns

sample_id stringlengths 12 12	population stringclasses 5 values	region stringclasses 5 values	is_SSA bool 2 classes	sex stringclasses 2 values	age_years float64 18 89.2 ⌀	facility_type stringclasses 3 values	urban_rural stringclasses 3 values	distance_km float64 0.5 143	ses stringclasses 3 values	insurance_status stringclasses 3 values	baseline_pathology_ordered bool 2 classes	baseline_pathology_result_available bool 2 classes	baseline_cbc_ordered bool 2 classes	baseline_cbc_result_available bool 2 classes	baseline_imaging_ordered bool 2 classes	baseline_imaging_result_available bool 2 classes
MD_PAT_00001	SSA_West	West	true	Male	45.2	Regional_hospital	Rural	85.3	Low	None	false	false	true	true	true	true
MD_PAT_00002	SSA_West	West	true	Female	64	District_hospital	Urban	8.7	Low	None	true	true	false	false	false	false
MD_PAT_00003	SSA_West	West	true	Female	62.1	Regional_hospital	Rural	66.6	Low	None	true	true	false	false	false	false
MD_PAT_00004	SSA_West	West	true	Female	64.1	Regional_hospital	Rural	75.7	Low	None	true	true	true	true	true	true
MD_PAT_00005	SSA_West	West	true	Male	58.9	Regional_hospital	Urban	7.2	Low	None	true	true	false	false	true	true
MD_PAT_00006	SSA_West	West	true	Female	55.1	Regional_hospital	Rural	71.1	Low	None	true	true	true	true	true	true
MD_PAT_00007	SSA_West	West	true	Female	38.3	District_hospital	Periurban	0.7	Low	National_insurance	false	false	true	false	false	false
MD_PAT_00008	SSA_West	West	true	Female	44.5	Regional_hospital	Periurban	37.2	Low	None	true	true	true	true	false	false
MD_PAT_00009	SSA_West	West	true	Female	60.3	Regional_hospital	Periurban	21.4	High	None	true	true	false	false	true	true
MD_PAT_00010	SSA_West	West	true	Female	55.5	Regional_hospital	Urban	2.7	Middle	National_insurance	true	true	false	false	true	true
MD_PAT_00011	SSA_West	West	true	Female	58.8	Regional_hospital	Urban	7.8	High	None	true	true	true	true	true	true
MD_PAT_00012	SSA_West	West	true	Female	41.9	Regional_hospital	Rural	45.5	Low	Private	true	true	true	true	true	true
MD_PAT_00013	SSA_West	West	true	Female	47.6	Regional_hospital	Periurban	16.2	Middle	None	true	false	false	false	false	false
MD_PAT_00014	SSA_West	West	true	Female	53.2	District_hospital	Urban	8.7	Low	Private	false	false	true	true	false	false
MD_PAT_00015	SSA_West	West	true	Male	62	Regional_hospital	Urban	6.4	Middle	None	true	true	true	true	true	true
MD_PAT_00016	SSA_West	West	true	Female	41.6	Tertiary_urban	Urban	5.3	Middle	None	true	false	true	true	true	true
MD_PAT_00017	SSA_West	West	true	Female	46	Regional_hospital	Urban	9.5	High	National_insurance	true	false	true	true	true	true
MD_PAT_00018	SSA_West	West	true	Female	56.7	Tertiary_urban	Periurban	5.2	Low	None	true	true	true	true	true	true
MD_PAT_00019	SSA_West	West	true	Female	57.8	District_hospital	Rural	73.5	Low	None	true	true	false	false	true	false
MD_PAT_00020	SSA_West	West	true	Female	40.1	Regional_hospital	Periurban	13.6	Low	None	true	true	true	true	false	false
MD_PAT_00021	SSA_West	West	true	Female	52.1	District_hospital	Rural	88.4	Low	None	true	true	true	true	true	true
MD_PAT_00022	SSA_West	West	true	Female	48.9	Tertiary_urban	Urban	5.9	Low	None	true	true	true	true	true	true
MD_PAT_00023	SSA_West	West	true	Female	60	Regional_hospital	Urban	1.5	Low	National_insurance	true	true	false	false	true	true
MD_PAT_00024	SSA_West	West	true	Female	45	Regional_hospital	Urban	10.3	Middle	None	true	true	true	true	true	true
MD_PAT_00025	SSA_West	West	true	Female	55.9	District_hospital	Urban	3.6	High	None	true	false	false	false	true	true
MD_PAT_00026	SSA_West	West	true	Female	65.4	District_hospital	Periurban	8.3	Low	None	true	true	true	true	true	false
MD_PAT_00027	SSA_West	West	true	Female	53.1	District_hospital	Rural	78.3	Middle	Private	true	false	true	true	false	false
MD_PAT_00028	SSA_West	West	true	Female	46.6	Tertiary_urban	Rural	58.1	Middle	Private	true	true	false	false	true	true
MD_PAT_00029	SSA_West	West	true	Female	68.2	Regional_hospital	Urban	9	Low	None	true	true	true	true	false	false
MD_PAT_00030	SSA_West	West	true	Female	70.7	Regional_hospital	Urban	4.7	Low	None	true	false	true	true	true	true
MD_PAT_00031	SSA_West	West	true	Female	64.6	District_hospital	Urban	0.5	Middle	National_insurance	false	false	false	false	false	false
MD_PAT_00032	SSA_West	West	true	Female	52.5	District_hospital	Rural	85.6	Low	National_insurance	true	false	false	false	true	false
MD_PAT_00033	SSA_West	West	true	Female	35.2	Tertiary_urban	Periurban	24	Low	None	true	true	true	true	true	true
MD_PAT_00034	SSA_West	West	true	Female	47.2	District_hospital	Periurban	20	Low	National_insurance	true	true	false	false	false	false
MD_PAT_00035	SSA_West	West	true	Female	56.4	District_hospital	Urban	6.6	Middle	None	true	false	true	true	false	false
MD_PAT_00036	SSA_West	West	true	Female	57.4	Regional_hospital	Rural	55.8	Middle	None	true	true	true	true	true	true
MD_PAT_00037	SSA_West	West	true	Female	63.3	Tertiary_urban	Rural	74.5	Middle	None	true	true	true	true	true	true
MD_PAT_00038	SSA_West	West	true	Female	52.7	Tertiary_urban	Urban	7.4	High	None	true	true	true	true	true	true
MD_PAT_00039	SSA_West	West	true	Female	36.8	Regional_hospital	Urban	2.1	Low	None	true	false	true	true	true	true
MD_PAT_00040	SSA_West	West	true	Female	67.5	Regional_hospital	Periurban	28	Low	None	true	true	true	true	false	false
MD_PAT_00041	SSA_West	West	true	Female	52.1	Tertiary_urban	Rural	51.3	Low	None	true	true	true	true	true	true
MD_PAT_00042	SSA_West	West	true	Female	35.9	Regional_hospital	Rural	68.9	Low	National_insurance	false	false	false	false	true	true
MD_PAT_00043	SSA_West	West	true	Female	57.9	Regional_hospital	Rural	20.6	Low	None	true	true	true	true	false	false
MD_PAT_00044	SSA_West	West	true	Female	47.5	Regional_hospital	Rural	32.1	Low	None	true	true	true	true	true	true
MD_PAT_00045	SSA_West	West	true	Female	64.7	Regional_hospital	Urban	9.7	Middle	None	true	true	true	true	true	true
MD_PAT_00046	SSA_West	West	true	Female	59.4	District_hospital	Urban	7.5	Low	None	true	true	true	true	true	true
MD_PAT_00047	SSA_West	West	true	Female	63.3	Regional_hospital	Periurban	0.5	Low	None	true	true	true	true	true	true
MD_PAT_00048	SSA_West	West	true	Male	52.7	District_hospital	Urban	5.1	Low	None	true	true	true	true	true	false
MD_PAT_00049	SSA_West	West	true	Female	38.2	Tertiary_urban	Urban	7.5	Low	None	false	false	true	true	true	true
MD_PAT_00050	SSA_West	West	true	Male	44.1	Regional_hospital	Periurban	9.7	Middle	None	true	false	true	true	true	true
MD_PAT_00051	SSA_West	West	true	Female	49.3	Tertiary_urban	Periurban	29.6	Low	National_insurance	true	true	true	true	true	true
MD_PAT_00052	SSA_West	West	true	Female	70	Regional_hospital	Urban	3.5	Middle	None	true	true	true	true	true	true
MD_PAT_00053	SSA_West	West	true	Female	45.7	Tertiary_urban	Periurban	31.3	High	None	true	true	true	true	true	true
MD_PAT_00054	SSA_West	West	true	Female	65.1	Regional_hospital	Urban	0.5	Low	None	false	false	true	true	true	true
MD_PAT_00055	SSA_West	West	true	Female	53.8	District_hospital	Periurban	13.7	Middle	Private	true	true	true	true	false	false
MD_PAT_00056	SSA_West	West	true	Female	43.1	Regional_hospital	Periurban	6.6	Middle	National_insurance	true	true	false	false	true	false
MD_PAT_00057	SSA_West	West	true	Male	54.5	District_hospital	Periurban	3	Low	Private	true	false	true	true	false	false
MD_PAT_00058	SSA_West	West	true	Female	54.9	Tertiary_urban	Urban	6.8	High	None	true	true	true	true	true	true
MD_PAT_00059	SSA_West	West	true	Female	47.5	District_hospital	Urban	4.4	High	None	false	false	true	false	true	false
MD_PAT_00060	SSA_West	West	true	Female	59.3	Regional_hospital	Urban	0.5	Low	None	true	true	true	true	false	false
MD_PAT_00061	SSA_West	West	true	Female	39.5	Tertiary_urban	Urban	8.2	Middle	None	true	true	true	true	true	true
MD_PAT_00062	SSA_West	West	true	Female	56.2	District_hospital	Urban	5.7	Low	None	false	false	true	true	false	false
MD_PAT_00063	SSA_West	West	true	Female	35.7	District_hospital	Periurban	12.2	Middle	None	false	false	true	true	true	false
MD_PAT_00064	SSA_West	West	true	Female	58.9	Tertiary_urban	Periurban	18.4	Middle	None	true	true	true	true	true	false
MD_PAT_00065	SSA_West	West	true	Female	38.3	Tertiary_urban	Urban	1.3	Low	None	true	true	true	true	true	true
MD_PAT_00066	SSA_West	West	true	Female	53.3	District_hospital	Rural	73.2	Middle	None	true	true	true	true	false	false
MD_PAT_00067	SSA_West	West	true	Female	30.3	Tertiary_urban	Periurban	14.1	Low	None	true	true	true	true	true	true
MD_PAT_00068	SSA_West	West	true	Female	64.8	Tertiary_urban	Rural	84.7	High	None	true	true	true	true	true	true
MD_PAT_00069	SSA_West	West	true	Female	50.5	Regional_hospital	Periurban	11.5	Middle	None	true	true	true	true	true	true
MD_PAT_00070	SSA_West	West	true	Female	55.9	District_hospital	Periurban	39.8	High	National_insurance	false	false	false	false	false	false
MD_PAT_00071	SSA_West	West	true	Female	61.4	Regional_hospital	Periurban	26.6	Low	None	true	false	true	true	true	true
MD_PAT_00072	SSA_West	West	true	Female	52.6	Regional_hospital	Rural	69.1	Middle	None	true	false	true	true	true	true
MD_PAT_00073	SSA_West	West	true	Female	58.1	Regional_hospital	Rural	52.4	Low	Private	true	true	true	false	false	false
MD_PAT_00074	SSA_West	West	true	Female	57.7	Tertiary_urban	Urban	3.7	High	National_insurance	false	false	true	true	true	true
MD_PAT_00075	SSA_West	West	true	Male	49.3	District_hospital	Periurban	15.4	Low	None	false	false	true	true	false	false
MD_PAT_00076	SSA_West	West	true	Female	57.7	District_hospital	Rural	2.7	Middle	None	false	false	true	true	false	false
MD_PAT_00077	SSA_West	West	true	Male	46	Regional_hospital	Urban	2.5	Low	None	true	true	false	false	true	true
MD_PAT_00078	SSA_West	West	true	Female	69.6	District_hospital	Urban	8.8	Middle	None	true	true	false	false	false	false
MD_PAT_00079	SSA_West	West	true	Female	56.7	District_hospital	Rural	40.8	Low	None	true	false	true	true	false	false
MD_PAT_00080	SSA_West	West	true	Female	67.6	Regional_hospital	Urban	6.2	Middle	National_insurance	true	true	true	true	true	true
MD_PAT_00081	SSA_West	West	true	Female	53.5	Tertiary_urban	Urban	4.9	Middle	None	true	true	true	true	true	true
MD_PAT_00082	SSA_West	West	true	Female	56	District_hospital	Urban	10.3	Middle	None	false	false	false	false	true	false
MD_PAT_00083	SSA_West	West	true	Female	55.1	Regional_hospital	Urban	3.1	Middle	National_insurance	true	true	true	true	true	true
MD_PAT_00084	SSA_West	West	true	Male	53.7	Regional_hospital	Rural	36.3	Middle	National_insurance	true	true	true	true	true	false
MD_PAT_00085	SSA_West	West	true	Female	57.3	Tertiary_urban	Rural	45.2	Low	National_insurance	true	true	true	true	true	true
MD_PAT_00086	SSA_West	West	true	Female	47.9	District_hospital	Urban	8.2	Low	National_insurance	true	true	false	false	false	false
MD_PAT_00087	SSA_West	West	true	Female	44.7	Regional_hospital	Rural	67.9	High	None	true	true	false	false	false	false
MD_PAT_00088	SSA_West	West	true	Female	58	Regional_hospital	Periurban	26.2	Middle	None	true	true	true	true	true	false
MD_PAT_00089	SSA_West	West	true	Female	51.4	Tertiary_urban	Rural	57.3	Middle	None	true	true	true	true	true	true
MD_PAT_00090	SSA_West	West	true	Female	43.5	Regional_hospital	Urban	1.9	Middle	None	true	true	true	true	true	true
MD_PAT_00091	SSA_West	West	true	Female	45.4	District_hospital	Periurban	10.7	Middle	None	true	false	true	true	false	false
MD_PAT_00092	SSA_West	West	true	Female	54.7	Regional_hospital	Urban	13.2	Low	Private	true	true	true	true	true	true
MD_PAT_00093	SSA_West	West	true	Female	59.4	Regional_hospital	Periurban	14.1	Low	None	true	true	true	true	true	true
MD_PAT_00094	SSA_West	West	true	Female	48.9	District_hospital	Urban	0.6	Middle	National_insurance	true	true	true	true	false	false
MD_PAT_00095	SSA_West	West	true	Male	52.5	District_hospital	Urban	3.2	Middle	None	true	true	true	true	true	true
MD_PAT_00096	SSA_West	West	true	Female	45.9	Regional_hospital	Rural	77.9	Middle	None	true	true	true	true	false	false
MD_PAT_00097	SSA_West	West	true	Female	51.5	Tertiary_urban	Periurban	23.5	Low	National_insurance	true	true	true	true	true	true
MD_PAT_00098	SSA_West	West	true	Female	72.6	Tertiary_urban	Rural	87.9	Low	None	true	true	true	true	true	true
MD_PAT_00099	SSA_West	West	true	Female	61.7	District_hospital	Periurban	51.3	High	None	true	true	false	false	true	false
MD_PAT_00100	SSA_West	West	true	Female	49.6	District_hospital	Urban	6.9	Low	None	false	false	true	true	true	true

End of preview. Expand in Data Studio

SSA Breast Missing Data Patterns (Retention & Incomplete Tests) | Africa (Electric Sheep Africa metadata inventory)

Size category: 10K<n<100K - Formats: parquet - Sector: health - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Health datasets help researchers examine disease burden, service delivery, risk factors, outcomes, and public-health program performance.

Dataset context from the existing Hugging Face card: SSA Breast Missing Data Patterns (Synthetic) Dataset summary This module provides a synthetic missing-data sandbox for oncology care in African healthcare contexts, focusing on: Realistic loss-to-follow-up (LTFU) and retention patterns over 0–24 months. Incomplete diagnostic and laboratory test results (ordered vs completed vs available in records). Non-random missingness driven by facility type, distance, socioeconomic status (SES), and insurance. The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/ssa-breast-missing-data-patterns.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/ssa-breast-missing-data-patterns`
Sector	health
Topic tags	missing-data, lost-to-follow-up, retention, breast-cancer, sub-saharan-africa, health-systems
Modalities	`tabular`, `text`
Formats	`parquet`
Size category	`10K<n<100K`
Countries	Africa-wide or source-defined African coverage
ISO3 coverage	`not declared`
Last modified on HF	`2025-11-25 16:17:00+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/ssa-breast-missing-data-patterns")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: country, upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: Electric Sheep Africa metadata inventory
Publisher/source attribution: Public dataset metadata
License: cc-by-nc-4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/ssa-breast-missing-data-patterns
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_ssa_breast_missing_data_patterns_2026,
  title        = {SSA Breast Missing Data Patterns (Retention & Incomplete Tests) | Africa (Electric Sheep Africa metadata inventory)},
  author       = {Public dataset metadata},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/ssa-breast-missing-data-patterns},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/ssa-breast-missing-data-patterns}}
}

License

Released under cc-by-nc-4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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