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MS Data Science'24. UWisconsin. Statistical Analysis and Machine Learning applied to healthcare solutions, healthcare insurance risk, and ancillary services analysis. Fluent in Spanish, American Sign Language, and nerdish.🤓
Hugo Camacho









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"Assuming" the types of produce inputs are disclosed, are fresh, no farm bugs, clean, free from pesticides, and the tools are thoroughly cleaned, and free from bugs and rodents. Yes I would eat. But that's relying on many assumptions. If the quality guarantees are not there, don't eat it.
Healthcare: USA ranks 10th in 2024 for 1) Lowest life expectancy from preventable disease. 2) Barriers to affordable care 38% of adults skip recommended care due to cost. 3) Largest disparities between high and low-income residents able to afford healthcare. www.commonwealthfund.org/publications...
Health plan disenrollment following MOUD initiation "was associated with a 51% and 56% increase in the hazards of all-cause mortality and overdose mortality" Relevant finding as states work to operationalize Medicaid work requirement exemptions for enrollees with substance use disorder.
AI Agents are devaluing your brand by mispronouncing them. When using AI tools in customer service or to generate training tools for internal HR or external customers (i.e., training vendors on services or software). Make sure it is pronouncing your products/services correctly.
Now that's a headline: "Former surgeon general: The Senate must not approve someone who can’t practice medicine as the nation’s top doctor"
In AI, "benchmark saturation" refers to when an evaluation test (benchmark) used to evaluate which model is outperforming other models no longer differentiates between the top-performing LLM (Large Language Models) because their scores have hit a functional ceiling; where they perform the same
AI Agents can now "rent humans" (as a proxy) to do tasks where the AI Agent cannot be physically present. AI Agents can pay for goods and services but it cannot sign legally binding contracts. AI cannot assess discriminatory hiring practices or be personally liable for errors.