Name: Mental Health Diagnosis And Treatment Monitoring
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Mental Health Diagnosis And Treatment Monitoring

Mental Health Diagnosis and Treatment Monitoring Dataset

Overview

The Mental Health Diagnosis and Treatment Monitoring dataset contains 500 rows representing real-world mental health diagnoses, treatment plans, and outcomes. It includes patient demographics, symptom severity, medication, therapy types, and progress tracking. This dataset is synthetic and created for research and analysis purposes.

Key Features

Patient ID: Unique identifier.
Age: Age of the patient.
Gender: Male or Female.
Diagnosis: Mental health condition (e.g., Anxiety, Depression).
Symptom Severity (1-10): Severity of symptoms.
Mood Score (1-10): Mood rating during treatment.
Sleep Quality (1-10): Patient-reported sleep quality.
Physical Activity: Hours per week of activity.
Medication: Medications prescribed (e.g., SSRIs, Antidepressants).
Therapy Type: Type of therapy (e.g., CBT, DBT).
Treatment Start Date: Date treatment started.
Treatment Duration: Duration of treatment in weeks.
Stress Level (1-10): Patient's stress level.
Outcome: Treatment outcome (e.g., Improved, Deteriorated).
Treatment Progress (1-10): Progress made during treatment.
AI-Detected Emotional State: AI-detected emotional state (e.g., Happy, Anxious).
Adherence to Treatment (%): Percentage of adherence to treatment plan.

Use Cases

Diagnosis Classification: Classify patients based on their mental health condition.
Outcome Prediction: Predict treatment outcomes based on patient data.
Adherence Monitoring: Analyze treatment adherence and its effect on outcomes.
Emotional State Detection: Use AI to track and predict emotional states.
Treatment Effectiveness: Evaluate the impact of different therapies on progress.

Ethical Considerations

Ensure that patient data is anonymized, and models are tested for fairness and bias in their predictions. This dataset is synthetic and does not represent real patient information.

Tables

Mental Health Diagnosis Treatment

@kaggle.uom190346a_mental_health_diagnosis_and_treatment_monitoring.mental_health_diagnosis_treatment

20.82 kB
500 rows
17 columns

CREATE TABLE mental_health_diagnosis_treatment (
  "patient_id" BIGINT,
  "age" BIGINT,
  "gender" VARCHAR,
  "diagnosis" VARCHAR,
  "symptom_severity_1_10" BIGINT  -- Symptom Severity (1-10),
  "mood_score_1_10" BIGINT  -- Mood Score (1-10),
  "sleep_quality_1_10" BIGINT  -- Sleep Quality (1-10),
  "physical_activity_hrs_week" BIGINT  -- Physical Activity (hrs/week),
  "medication" VARCHAR,
  "therapy_type" VARCHAR,
  "treatment_start_date" TIMESTAMP,
  "treatment_duration_weeks" BIGINT  -- Treatment Duration (weeks),
  "stress_level_1_10" BIGINT  -- Stress Level (1-10),
  "outcome" VARCHAR,
  "treatment_progress_1_10" BIGINT  -- Treatment Progress (1-10),
  "ai_detected_emotional_state" VARCHAR,
  "adherence_to_treatment" BIGINT  -- Adherence To Treatment (%)
);