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Healthcare – Hypothesis Testing:

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Key Challenge

Conducting hypothesis testing in a clinical setting presented challenges, including working with multiple datasets of correlated data captured at different frequencies via different channels. The need to avoid hard cutoff predictions due to ethical concerns added complexity to the study.

Solution

Evolve Ai Labs assisted the client in deriving meaningful insights from research study data related to rehabilitation services for abuse patients. Using few-shot learning and data engineering, the team navigated the challenges posed by multiple datasets and ethical considerations.

Impact

The solution provided multidimensional hypothesis testing, enabling the client to study and derive actionable insights to improve rehabilitation procedures without impacting rehabilitation progress.

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