At Statswork, we believe that the foundation of any effective AI and ML model is high-quality data. Our comprehensive data gathering approach ensures that we collect diverse and representative datasets across various domains and scenarios. This includes data from different age groups, demographics, educational backgrounds, and ethnicities, providing a rich source of information for training robust models. High-Resolution Imagery
Our NLP data collection services are designed to build robust language models that can accurately process and understand human language. We combine qualitative insights with structured data to improve language comprehension and interaction.
Statswork provides end-to-end speech data collection to enhance automatic speech recognition (ASR) systems. Our services cover a wide range of audio environments and linguistic variations to ensure high-quality and adaptable speech recognition models.
As the healthcare system moves toward value-based care, the Centers for Medicare & Medicaid Services (CMS) has implemented several programs to enhance patient care quality. One notable initiative is the Hospital Readmission Reduction Program (HRRP), which reduces reimbursement to hospitals with higher-than-average readmission rates. For hospitals penalized under this program, creating interventions to provide additional support to patients at increased risk of readmission is a viable solution. But how do we identify these high-risk patients?
