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Parkinsons Disease Clinical Factors
Patient Health Records & Digital Health
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About
This dataset contains detailed health information for 2,105 patients diagnosed with Parkinson's Disease. Each patient is uniquely identified with an ID, ranging from 3058 to 5162. The dataset includes demographic details, lifestyle factors, medical history, clinical measurements, cognitive and functional assessments, symptoms, and a diagnosis indicator. This valuable resource is ideal for researchers and data scientists aiming to explore factors associated with Parkinson's Disease, develop predictive models, and conduct statistical analyses. It is a synthetic dataset, generated exclusively for educational purposes, making it suitable for data science and machine learning projects. This is an original dataset, owned by Mr. Rabie El Kharoua, and has not been shared previously.
Columns
- PatientID: A unique identifier assigned to each patient, ranging from 3058 to 5162.
- Age: The age of the patients, spanning from 50 to 90 years.
- Gender: Gender of the patients, with '0' representing Male and '1' representing Female.
- Ethnicity: The ethnicity of the patients, coded as '0': Caucasian, '1': African American, '2': Asian, '3': Other.
- EducationLevel: The education level of the patients, coded as '0': None, '1': High School, '2': Bachelor's, '3': Higher.
- BMI: Body Mass Index of the patients, ranging from 15 to 40.
- Smoking: Smoking status, where '0' indicates No and '1' indicates Yes.
- AlcoholConsumption: Weekly alcohol consumption in units, ranging from 0 to 20.
- PhysicalActivity: Weekly physical activity in hours, ranging from 0 to 10.
- DietQuality: Diet quality score, ranging from 0 to 10.
- SleepQuality: Sleep quality score, ranging from 4 to 10.
- FamilyHistoryParkinsons: Family history of Parkinson's Disease, where '0' indicates No and '1' indicates Yes.
- TraumaticBrainInjury: History of traumatic brain injury, where '0' indicates No and '1' indicates Yes.
- Hypertension: Presence of hypertension, where '0' indicates No and '1' indicates Yes.
- Diabetes: Presence of diabetes, where '0' indicates No and '1' indicates Yes.
- Depression: Presence of depression, where '0' indicates No and '1' indicates Yes.
- Stroke: History of stroke, where '0' indicates No and '1' indicates Yes.
- SystolicBP: Systolic blood pressure, ranging from 90 to 180 mmHg.
- DiastolicBP: Diastolic blood pressure, ranging from 60 to 120 mmHg.
- CholesterolTotal: Total cholesterol levels, ranging from 150 to 300 mg/dL.
- CholesterolLDL: Low-density lipoprotein cholesterol levels, ranging from 50 to 200 mg/dL.
- CholesterolHDL: High-density lipoprotein cholesterol levels, ranging from 20 to 100 mg/dL.
- CholesterolTriglycerides: Triglycerides levels, ranging from 50 to 400 mg/dL.
- UPDRS: Unified Parkinson's Disease Rating Scale score, ranging from 0 to 199. Higher scores indicate greater severity of the disease.
- MoCA: Montreal Cognitive Assessment score, ranging from 0 to 30. Lower scores indicate cognitive impairment.
- FunctionalAssessment: Functional assessment score, ranging from 0 to 10. Lower scores indicate greater impairment.
- Tremor: Presence of tremor, where '0' indicates No and '1' indicates Yes.
- Rigidity: Presence of muscle rigidity, where '0' indicates No and '1' indicates Yes.
- Bradykinesia: Presence of bradykinesia (slowness of movement), where '0' indicates No and '1' indicates Yes.
- PosturalInstability: Presence of postural instability, where '0' indicates No and '1' indicates Yes.
- SpeechProblems: Presence of speech problems, where '0' indicates No and '1' indicates Yes.
- SleepDisorders: Presence of sleep disorders, where '0' indicates No and '1' indicates Yes.
- Constipation: Presence of constipation, where '0' indicates No and '1' indicates Yes.
- Diagnosis: Diagnosis status for Parkinson's Disease, where '0' indicates No and '1' indicates Yes.
- DoctorInCharge: This column contains confidential information, with "DrXXXConfid" as the value for all patients.
Distribution
The dataset is provided in a CSV format (
parkinsons_disease_data.csv). It contains 2,105 patient records and 35 distinct columns. The file size is 597.48 kB. All columns are valid with no mismatched or missing values.Usage
This dataset is ideal for:
- Exploring factors associated with Parkinson's Disease.
- Developing predictive models for disease onset or progression.
- Conducting statistical analyses on patient health data.
- Undertaking various data science and machine learning projects, particularly in the health domain.
- Investigating the complex interplay of variables contributing to Parkinson's Disease.
Coverage
The dataset focuses on patient health data, including demographic details such as age (50-90 years), gender (Male/Female), ethnicity (Caucasian, African American, Asian, Other), and education level. It does not specify geographic or temporal coverage, as it is a synthetic dataset generated for educational applications.
License
Attribution 4.0 International (CC BY 4.0) license
Who Can Use It
- Researchers: For in-depth studies on Parkinson's Disease and its contributing factors.
- Data Scientists: To build and test machine learning models related to health diagnostics and prognostics.
- Students and Educators: For academic projects, teaching, and learning in the fields of data science, machine learning, and public health.
- Medical Professionals (with data analysis skills): To gain insights into patient characteristics and disease manifestations.
Dataset Name Suggestions
- Parkinson's Disease Patient Data
- Synthetic Parkinson's Health Records
- Parkinson's Disease Clinical Factors
- Patient Health Dataset for Parkinson's
- Parkinson's Disease Predictive Data
Attributes
Original Data Source: Parkinsons Disease Clinical Factors
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