Card: the organisation's new name in the addresses
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README.md
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<img src="https://huggingface.co/spaces/Actogram
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**Actogram AI** develops tools for studying daily activity patterns and analysing population health data.
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### NHANES-MCP: AI-assisted analysis of public US health survey data
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<sub>Example on the first card: US adults aged 20 and over (pregnant women excluded), NHANES 2005-2006 to 2013-2014, 27,798 participants and 4,073 deaths, median follow-up 9.2 years. Weekday sleep of 6 hours or less compared with more than 6 hours (the question NHANES asked until 2014); survey-weighted Cox model adjusted for age and sex; hazard ratio 1.20, 95% CI 1.11 to 1.29. An association in survey data, not a cause and not a prediction for any one person. Run: `cox_model({"exposure": ["Sleep hours, weekdays (2005-2014) <= 6"]})` on data snapshot data-v1 with the NCHS definitions (data af5de79980bb).</sub>
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<img src="https://huggingface.co/spaces/Actogram/README/resolve/main/banner.svg" class="dark:hidden" style="margin-top:0" width="100%" alt="Two lines of work, drawn by hand and kept apart. Left: daily activity patterns, a week of step counts drawn one row per day, with steps through the day and quiet hours at night. Right: population health data, the US health survey NHANES analysed with NHANES-MCP, which returns survey-weighted estimates with their ranges."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/banner-dark.svg" class="hidden dark:block" style="margin-top:0" width="100%" alt="Two lines of work, drawn by hand and kept apart. Left: daily activity patterns, a week of step counts drawn one row per day, with steps through the day and quiet hours at night. Right: population health data, the US health survey NHANES analysed with NHANES-MCP, which returns survey-weighted estimates with their ranges.">
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**Actogram AI** develops tools for studying daily activity patterns and analysing population health data.
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### NHANES-MCP: AI-assisted analysis of public US health survey data
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<div class="grid md:grid-cols-2 gap-4"><a href="https://actogram-nhanes-mcp-demo.hf.space/#try"><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-ask.svg" class="dark:hidden my-0!" style="margin:0" width="100%" alt="Ask NHANES-MCP in your browser. Example: is short sleep linked to death rates? Adults who reported 6 hours of sleep or less on weekdays had a 20% higher death rate during follow-up than adults who reported more, 95% confidence interval 11% to 29%, adjusted for age and sex. An association, not a cause. Free, no sign-up. Research prototype."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-ask-dark.svg" class="hidden dark:block my-0!" style="margin:0" width="100%" alt="Ask NHANES-MCP in your browser. Example: is short sleep linked to death rates? Adults who reported 6 hours of sleep or less on weekdays had a 20% higher death rate during follow-up than adults who reported more, 95% confidence interval 11% to 29%, adjusted for age and sex. An association, not a cause. Free, no sign-up. Research prototype."></a><a href="https://actogram-nhanes-mcp-demo.hf.space/#use"><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-connect.svg" class="dark:hidden my-0!" style="margin:0" width="100%" alt="Connect your AI assistant: ChatGPT, Claude, Mistral and others call NHANES-MCP, which calculates survey-weighted statistics on the US health survey. Free, one address."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-connect-dark.svg" class="hidden dark:block my-0!" style="margin:0" width="100%" alt="Connect your AI assistant: ChatGPT, Claude, Mistral and others call NHANES-MCP, which calculates survey-weighted statistics on the US health survey. Free, one address."></a></div>
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<div class="hidden md:block mt-4"><a href="https://actogram-nhanes-mcp-demo.hf.space/#compare"><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-ways.svg" class="dark:hidden my-0!" style="margin:0" width="100%" alt="Three ways to use NHANES-MCP. In your browser: free, no sign-up, short answers, 16 ready examples, 9 languages. In your AI assistant: free, all 16 tools with all options, literature search. Full research app, in early access: an AI assistant built in, guided research workflows, saved chats."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-ways-dark.svg" class="hidden dark:block my-0!" style="margin:0" width="100%" alt="Three ways to use NHANES-MCP. In your browser: free, no sign-up, short answers, 16 ready examples, 9 languages. In your AI assistant: free, all 16 tools with all options, literature search. Full research app, in early access: an AI assistant built in, guided research workflows, saved chats."></a></div>
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<div class="md:hidden mt-4"><a href="https://actogram-nhanes-mcp-demo.hf.space/#compare"><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-ways-phone.svg" class="dark:hidden my-0!" style="margin:0" width="100%" alt="Three ways to use NHANES-MCP. In your browser: free, no sign-up, short answers, 16 ready examples, 9 languages. In your AI assistant: free, all 16 tools with all options, literature search. Full research app, in early access: an AI assistant built in, guided research workflows, saved chats."><img src="https://huggingface.co/spaces/Actogram/README/resolve/main/card-ways-phone-dark.svg" class="hidden dark:block my-0!" style="margin:0" width="100%" alt="Three ways to use NHANES-MCP. In your browser: free, no sign-up, short answers, 16 ready examples, 9 languages. In your AI assistant: free, all 16 tools with all options, literature search. Full research app, in early access: an AI assistant built in, guided research workflows, saved chats."></a></div>
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<sub>Example on the first card: US adults aged 20 and over (pregnant women excluded), NHANES 2005-2006 to 2013-2014, 27,798 participants and 4,073 deaths, median follow-up 9.2 years. Weekday sleep of 6 hours or less compared with more than 6 hours (the question NHANES asked until 2014); survey-weighted Cox model adjusted for age and sex; hazard ratio 1.20, 95% CI 1.11 to 1.29. An association in survey data, not a cause and not a prediction for any one person. Run: `cox_model({"exposure": ["Sleep hours, weekdays (2005-2014) <= 6"]})` on data snapshot data-v1 with the NCHS definitions (data af5de79980bb).</sub>
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