age int64 | sex string | bmi float64 | dm int64 | ckd int64 | osa int64 | constipated int64 | iron int64 | opioid int64 | prior_inadequate int64 | understands_splitdose int64 | fiber48h string | bbps_total int64 | inadequate int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
64 | F | 22.1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | normal | 9 | 0 |
56 | F | 23.3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | high | 2 | 1 |
66 | F | 29.2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | high | 4 | 1 |
76 | M | 28.5 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
55 | M | 25.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | low | 7 | 0 |
55 | F | 26.3 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | normal | 4 | 1 |
77 | M | 31.5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | normal | 5 | 1 |
67 | F | 23.1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | normal | 7 | 1 |
52 | F | 28.3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 6 | 0 |
65 | F | 24.9 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | normal | 4 | 1 |
52 | M | 24.8 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | normal | 7 | 1 |
52 | M | 30.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
61 | M | 29.5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | high | 5 | 1 |
35 | M | 29.5 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | high | 4 | 1 |
37 | M | 31.7 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | normal | 9 | 0 |
51 | F | 25.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | high | 9 | 0 |
46 | F | 28.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | high | 9 | 0 |
62 | F | 24.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 7 | 0 |
47 | F | 27.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
41 | M | 25.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | normal | 5 | 1 |
76 | F | 26.2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | high | 8 | 0 |
55 | F | 28.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | high | 9 | 0 |
59 | M | 22.1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | low | 9 | 0 |
41 | F | 35.2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 4 | 1 |
51 | M | 21.3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | normal | 7 | 1 |
59 | F | 20.3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
44 | F | 31 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | normal | 6 | 1 |
63 | M | 29.4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | high | 9 | 0 |
51 | F | 28.6 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | normal | 7 | 0 |
54 | F | 28.6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | high | 8 | 0 |
51 | F | 25.7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | high | 7 | 0 |
80 | F | 21.8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 6 | 0 |
58 | F | 26.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
45 | M | 22.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
68 | M | 30.2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | normal | 6 | 0 |
43 | M | 25.1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 5 | 1 |
61 | F | 22.1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | normal | 6 | 1 |
34 | F | 24.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | normal | 8 | 0 |
42 | F | 27.7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | normal | 8 | 0 |
60 | F | 23.3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | low | 6 | 0 |
67 | M | 22.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
60 | M | 26.9 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | low | 4 | 1 |
57 | M | 26.9 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | normal | 2 | 1 |
54 | M | 23.5 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
40 | M | 23.7 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | normal | 6 | 1 |
49 | F | 26.8 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | normal | 8 | 0 |
52 | M | 19.3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | low | 8 | 0 |
71 | M | 19.5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | low | 9 | 0 |
62 | M | 22.6 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | normal | 5 | 1 |
37 | M | 24.8 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | high | 6 | 1 |
62 | F | 27.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | normal | 5 | 1 |
53 | F | 32.4 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | normal | 7 | 1 |
50 | F | 29.7 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | low | 8 | 0 |
65 | M | 25.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
70 | M | 25.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 6 | 0 |
69 | F | 21.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
48 | M | 25.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 4 | 1 |
54 | M | 24.5 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | low | 7 | 0 |
62 | M | 27.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 7 | 0 |
70 | M | 22.1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | normal | 4 | 1 |
52 | M | 28.1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | normal | 8 | 1 |
56 | M | 32.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | high | 9 | 0 |
45 | F | 25.3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | normal | 9 | 0 |
44 | M | 27.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 7 | 0 |
68 | M | 28.9 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | normal | 5 | 1 |
74 | F | 24 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | normal | 6 | 0 |
57 | M | 26.8 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | normal | 4 | 1 |
70 | M | 25.9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 7 | 0 |
62 | F | 26.2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | normal | 9 | 0 |
50 | M | 22.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
62 | M | 25.9 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | normal | 9 | 0 |
76 | F | 28 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
58 | M | 32.3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | high | 8 | 1 |
77 | F | 30.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | normal | 6 | 0 |
27 | F | 35.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | normal | 7 | 1 |
68 | M | 22.3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | low | 9 | 0 |
59 | F | 29.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 4 | 1 |
54 | F | 26.6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | low | 9 | 0 |
59 | M | 35.7 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | normal | 8 | 0 |
34 | F | 22.2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | low | 8 | 0 |
55 | M | 22 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | normal | 7 | 0 |
62 | F | 23.1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | normal | 4 | 1 |
76 | M | 16.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
52 | F | 23.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | high | 8 | 0 |
48 | M | 22.4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
52 | F | 26.5 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | normal | 7 | 0 |
69 | M | 27.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 4 | 1 |
62 | M | 34.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | low | 6 | 1 |
52 | F | 30.1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | high | 3 | 1 |
64 | F | 23.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | low | 8 | 0 |
59 | F | 21.8 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
70 | F | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 5 | 1 |
50 | F | 19.9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | normal | 5 | 1 |
54 | F | 34 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 5 | 1 |
53 | M | 31.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 9 | 0 |
40 | F | 23.7 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | low | 9 | 0 |
62 | F | 18.1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | normal | 7 | 0 |
61 | F | 31.9 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | normal | 5 | 1 |
58 | F | 25.3 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | high | 6 | 1 |
55 | M | 31.4 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | high | 9 | 0 |
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
- --
license: unknown
language:
- en
pretty_name: Endoscopy Bowel Prep Risk Dataset (Synthetic)
task_categories:
- text-classification
tags:
- synthetic
- tabular
- endoscopy
- nursing
- bowel-prep
- risk-prediction
size_categories:
- <1K
- 📌 Dataset Summary
- 📊 Data Fields
- ✅ Intended Uses
- ⚠️ Limitations
- 📊 Example: BBPS Score and Adequacy
- 🧾 Example Records
- 📚 Citation
- 🇹🇭 (สรุปภาษาไทย)
-- license: unknown language: - en pretty_name: Endoscopy Bowel Prep Risk Dataset (Synthetic) task_categories: - text-classification tags: - synthetic - tabular - endoscopy - nursing - bowel-prep - risk-prediction size_categories: - <1K
Endoscopy Bowel Prep Risk Dataset (Synthetic)
📌 Dataset Summary
This is a synthetic dataset created for research and demonstration in endoscopy nursing care.
It is designed to support AI-assisted risk prediction and nurse-led coaching systems for bowel preparation before colonoscopy.
⚠️ Note: This dataset does not contain real patient data.
It is for educational and research demonstration purposes only.
📊 Data Fields
- age: Patient age (years, int)
- sex: Sex (
MorF) - bmi: Body Mass Index (float)
- dm: Diabetes mellitus (0/1)
- ckd: Chronic Kidney Disease (0/1)
- osa: Obstructive Sleep Apnea (0/1)
- constipated: Chronic constipation (0/1)
- iron: Iron supplementation (0/1)
- opioid: Opioid use (0/1)
- prior_inadequate: History of inadequate prep (0/1)
- understands_splitdose: Patient understanding of split-dose regimen (0/1)
- fiber48h: Fiber intake in last 48 hours (
low,normal,high) - bbps_total: Boston Bowel Preparation Scale score (0–9)
- inadequate: Binary target label (1 = inadequate, 0 = adequate)
✅ Intended Uses
- Building AI-assisted pre-visit risk calculators
- Supporting nurse-led interventions (personalized coaching, reminders)
- Demonstration in digital health education and nursing informatics research
⚠️ Limitations
- This dataset is synthetic, not derived from real patient data.
- Not suitable for clinical decision-making.
- Any deployment in real-world healthcare must use validated datasets under ethical approval (IRB).
📊 Example: BBPS Score and Adequacy
The Boston Bowel Preparation Scale (BBPS) evaluates bowel cleanliness in three segments of the colon
(right, transverse, left), each scored 0–3. The total score ranges from 0–9.
| BBPS Score | Interpretation | Adequacy label |
|---|---|---|
| 0–1 | Unprepared / solid stool | Inadequate (1) |
| 2–4 | Poor | Inadequate (1) |
| 5–6 | Fair / Suboptimal | Borderline (often marked Inadequate=1) |
| 7–9 | Good / Excellent | Adequate (0) |
Target column in this dataset:
inadequate = 1→ BBPS below adequacy thresholdinadequate = 0→ BBPS adequate (usually ≥ 7)
🧾 Example Records
| age | sex | bmi | dm | ckd | osa | constipated | iron | opioid | prior_inadequate | understands_splitdose | fiber48h | bbps_total | inadequate |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 63 | F | 28 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | high | 4 | 1 |
| 52 | M | 24.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | normal | 8 | 0 |
📚 Citation
If you use this dataset, please cite:
Chinapa M., Endoscopy Nursing Research Team (2025).
Synthetic Endoscopy Bowel Preparation Risk Dataset. Hugging Face Datasets.
🇹🇭 (สรุปภาษาไทย)
ชุดข้อมูลนี้เป็น ข้อมูลจำลอง (Synthetic) เพื่อใช้ในการเรียนการสอนและสาธิตงานวิจัย
เกี่ยวกับ การพยาบาลส่องกล้องทางเดินอาหาร และการประเมินความเสี่ยงการเตรียมลำไส้ก่อนส่องกล้อง
- ไม่ใช่ข้อมูลผู้ป่วยจริง
- ใช้เพื่อการศึกษาและวิจัยต้นแบบเท่านั้น
- ไม่ควรใช้ในการตัดสินใจทางคลินิกโดยตรง
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