Chronic Disease Progression Records

This dataset provides comprehensive, time-stamped records of chronic disease progression for individual patients, including clinical measurements, symptom severity, treatment details, and adverse events. It enables longitudinal analysis of disease outcomes and treatment effectiveness, supporting research, clinical decision-making, and population health studies.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Long-term outcome analysis of chronic disease patients

Sample rows

preview · 8 of 200 rows · all 15 columns
record_idstringdisease_stagestringsymptom_severity_scorefloatdisease_codestringpatient_idstringdisease_namestringprogression_datedateclinical_measurementsstringtreatment_typestringtreatment_namestringtreatment_start_datedatetreatment_end_datedateadverse_eventsstringnext_followup_datedatenotesstring
REC0001mild1.2E11.9PAT1001Type 2 Diabetes Mellitus2020-01-14HbA1c: 6.1%, FPG: 110 mg/dL, BP: 126/82lifestyle_modificationDiet control, walking2020-01-14blankblank2020-07-14Patient displays mild symptoms with stable glucose levels.
REC0002moderate4.3I10PAT1002Essential Hypertension2020-02-18BP: 148/92, HR: 74 bpmmedicationLisinopril 10mg2020-02-18blankDizziness: mild2020-05-18Blood pressure moderately elevated; medication started.
REC0003stable0.7J45.909PAT1003Asthma, Unspecified2020-03-07FEV1: 85%, O2 Sat: 98%medicationAlbuterol inhaler2020-03-07blankblank2020-09-07Asthma well controlled, no exacerbations reported.
REC0004severe9.1C34.1PAT1004Malignant Neoplasm of Upper Lobe, Right Bronchus or Lung2020-04-12CT: 4.2 cm mass, SpO2: 89%chemotherapyCisplatin, etoposide2020-04-122020-06-15Nausea: severe, Fatigue: moderate2020-06-27Lung mass increased, patient started chemotherapy.
REC0005mild1E78.0PAT1005Pure Hypercholesterolemia2020-05-21Total Cholesterol: 242 mg/dL, LDL: 158 mg/dLmedicationAtorvastatin 20mg2020-05-21blankblank2020-11-21Statin therapy initiated for mild hypercholesterolemia.
REC0006progressing6.9G35PAT1006Multiple Sclerosis2020-06-12EDSS: 4.5, MRI: new lesionsbiologicOcrelizumab infusion2020-06-12blankInfusion reaction: mild2020-09-12MS progression with new MRI findings; biologic started.
REC0007severe9.8I50.9PAT1007Heart Failure, Unspecified2020-07-18EF: 18%, BNP: 745 pg/mLmedicationCarvedilol, Furosemide2020-07-18blankOrthostatic hypotension: moderate2020-08-18Worsening heart failure, reduced EF, symptoms severe.
REC0008progressing5.6E11.9PAT1001Type 2 Diabetes Mellitus2020-08-17HbA1c: 7.8%, FPG: 142 mg/dLmedicationMetformin, glipizide2020-08-17blankHypoglycemia: mild2020-10-17Glucose control worsening; combination therapy started.

What the 200 rows show

from the 200-row sample

Severe (disease stage) stands out: mean symptom_severity_score is 9.4, against 3.9 for the rest.

  • 5.1median symptom_severity_score
  • 8treatment types
Mean symptom_severity_score by disease_stage200 rows
05101.6mild33 rows4.7moder…34 rows9.4severe40 rows0.46remis…19 rows7.5progr…49 rows1.4stable25 rows
symptom_severity_score200 rows, in bands of 1
0204027311961316112224310510symptom_severity_score →

Median 5.1, from 0.0 to 10.0.

disease_code200 rows · 9 values
  1. E11.930
  2. J45.90926
  3. E78.024
  4. M05.7923
  5. I1021
  6. G3520
  7. K74.6020
  8. C34.118
  9. I50.918
15 columns by typefrom the column list below
  • string 10
  • float 1
  • date 4

Columns

15 columns in three groups
blueprint · 15 columns
columntypedescriptionexample
Text 10 columns
record_idstringUnique identifier for each disease progression recorduniqueREC0001
patient_idstringUnique identifier for each patientPAT1001
disease_codestringStandardized code representing the chronic disease (e.g., ICD-10)9 codesE11.9
disease_namestringName of the chronic diseaseType 2 Diabetes Mellitus
disease_stagestringCurrent stage or severity of the disease at the time of measurement6 valuesmild
clinical_measurementsstringKey-value pairs of relevant clinical measurements (e.g., blood pressure, lab results) at this time pointoptionalBP: 148/92, HR: 74 bpm
treatment_typestringType of treatment administered at this time point8 types · optionallifestyle_modification
treatment_namestringSpecific name or description of the treatment (e.g., medication name, procedure)optionalDiet control, walking
adverse_eventsstringKey-value pairs or list of adverse events experienced during this periodoptionalDizziness: mild
notesstringAdditional clinician notes or observationsoptionalPatient displays mild sym…
Numbers 1 column
symptom_severity_scorefloatNumeric score representing overall symptom severity (e.g., 0-10 scale)0 to 10 · optional1.2
Dates and times 4 columns
progression_datedateDate when the progression measurement was taken2020-01-14
treatment_start_datedateDate when the current treatment beganoptional2020-01-14
treatment_end_datedateDate when the current treatment ended (if applicable)optional2020-06-15
next_followup_datedateScheduled date for the next follow-up appointmentoptional2020-07-14

Use it for

  • median symptom…5.1200 rowsmean symptom severity…1.6mild4.7mode…9.4seve…0.46remi…

    A healthcare dashboard

    Symptom_severity_score by disease_stage and a breakdown of disease_code. Excel, Power BI or Tableau.

  • Why do the 40 severe rows have a mean symptom_severity_score of 9.4?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable records with patient_id, disease_code and disease_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 15 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows15 columns
Yours1,000 rows15 columns

blueprint · chronic-disease-progression-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Patient demographics and diagnosis
  • Regular health metrics tracked
  • Treatment regimen changes annotated
  • Progression milestones recorded
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
chronic-disease-progression-records

What should your data show?

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