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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
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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

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 (M or F)
  • 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 threshold
  • inadequate = 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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