HEALTHCARE APPLICATIONS DEVELOPMENT CAPABILITY SHOWCASE

Predictive Healthcare Dashboard

 

Predictive Healthcare Dashboard

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The objective of this dashboard is to show the prediction of healthcare cost to improve the healthcare outcomes and controlling the healthcare expenses.

Healthcare cost prediction help in

  • Enhanced Quality of care
  • Helps in lowering the overall healthcare cost
  • Facilitating the decision-making process
  • Predictive data will help in improving operational efficiency
  • Better allocation of appropriate monitory budget

The following Information sources have been used for cost prediction

  • Past Treatments, Diagnosis and Medications
  • Physical & Subjective evaluation by Physician
  • Severity & Span of Morbidity
  • Patient Demographics

The AI/ML model used the following methods and methodologies:
Predictive Methods

  • Palliative Performance Scale (PPS)
  • Charlson Comorbidity Index (CCI)
  • LACE Index
  • Chronic Disease Score (CDS)

Predictive (AI/ML) Methodologies

  • Feature Extraction - Recurrent Neural Networks (RNNs)
  • Model Training - Random Forest Regression, Neural Network, Multiple Linear Regression
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