๐Ÿฅ Care Placement Assessment

๐Ÿค– Machine Learning Outcomes

Explore our AI model development process and datasets used for care placement predictions

๐Ÿ“Š Training Results Comparison

๐Ÿš€ Enhanced Model (v2.0)

Training Data: 100,000 records
Best Accuracy: 99.7%
Best Classifier: Gradient Boosting
XGBoost Accuracy: 99.6%
Average Accuracy: 91.4%

๐Ÿ“Š Best Model Class Accuracies (Gradient Boosting)

๐Ÿ  Independent Living: 99.1%
๐Ÿก Home Care: 100.0%
๐Ÿค Assisted Living: 99.2%
๐Ÿง  Memory Care: 90.7%

๐Ÿ“Š Original Model (v1.0)

Training Data: 15,000 records
Best Accuracy: 97.8%
Best Classifier: XGBoost
Gradient Boosting: 97.4%
Average Accuracy: 89.5%

๐Ÿ“Š Best Model Class Accuracies (XGBoost)

๐Ÿ  Independent Living: 86.7%
๐Ÿก Home Care: 99.9%
๐Ÿค Assisted Living: 83.5%
๐Ÿง  Memory Care: 54.0%

๐Ÿ“ˆ Key Improvements in v2.0

๐Ÿ† +1.9% Best Accuracy (99.7% vs 97.8%)
๐Ÿค– Gradient Boosting outperforms XGBoost
๐Ÿ“Š +1.9% Average Accuracy Improvement
๏ฟฝ +12.4% Independent Living (99.1% vs 86.7%)
๐Ÿค +15.7% Assisted Living (99.2% vs 83.5%)
๐Ÿง  +36.7% Memory Care (90.7% vs 54.0%)
๐Ÿ“ˆ 6.7x More Training Data (100K vs 15K)

๐Ÿฅ Care Placement Categories Explained

Our AI system predicts one of four evidence-based care placement categories, each designed to match specific levels of independence and care needs:

๐Ÿ 

Independent Living

โ–ผ

Can live alone without formal care services

Characteristics:

  • Manages all daily activities independently
  • No regular assistance needed
  • Maintains own home or independent apartment
  • Drives or uses public transportation
  • Handles finances and medications independently

Typical Support:

  • Annual wellness checkups
  • Emergency contact systems
  • Community senior programs (optional)
  • Preventive home safety modifications
๐Ÿก

Home Care

โ–ผ

Needs professional care services at home

Characteristics:

  • Can remain safely at home with support
  • Needs help with specific daily tasks
  • May have mild cognitive or physical limitations
  • Benefits from medication management
  • Requires assistance with complex activities

Typical Services:

  • Home health aides (few hours to full-time)
  • Medication management and reminders
  • Meal preparation and housekeeping
  • Transportation to appointments
  • Personal care assistance (bathing, dressing)
๐Ÿค

Assisted Living

โ–ผ

Needs facility-based care with 24/7 support availability

Characteristics:

  • Requires structured, supervised environment
  • Needs assistance with multiple daily activities
  • Benefits from social interaction and activities
  • May have moderate cognitive or physical decline
  • Safety concerns if living alone

Facility Features:

  • Private or semi-private apartments
  • 24/7 staff availability for assistance
  • Communal dining and social activities
  • Medication management and health monitoring
  • Transportation and housekeeping services
๐Ÿง 

Memory Care

โ–ผ

Needs specialized dementia care with security measures

Characteristics:

  • Moderate to severe dementia or Alzheimer's
  • Wandering behavior or exit-seeking
  • Significant cognitive impairment
  • May exhibit behavioral symptoms
  • Requires constant supervision for safety

Specialized Care:

  • Secure, locked environment to prevent wandering
  • Specialized dementia care training for staff
  • Structured daily routines and activities
  • Behavioral management and therapeutic programs
  • Family education and support services

๐ŸŽฏ How Our AI Makes Predictions

Our machine learning models analyze 13 key factors including cognitive assessments (MMSE, MoCA), functional abilities (ADL, IADL), mobility, fall risk, social support, and medical history to predict the most appropriate care level. The enhanced model (v2.0) trained on 100,000 records provides highly accurate predictions with 99.7% overall accuracy.

๐Ÿš€ Enhanced Model (v2.0) - 100K Records

Latest model trained on comprehensive 100,000 record dataset for improved accuracy

๐Ÿ“Š Original Model (v1.0) - 15K Records

Initial model development and baseline results