Models from the paper: MOTOR: A Time-To-Event Foundation Model For Structured Medical Records (https://arxiv.org/abs/2301.03150)
Stanford Shah Lab
university
AI & ML interests
Healthcare AI and Foundation Models
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The Shah Lab at Stanford University specializes in analyzing diverse health data types, including EHRs, claims, wearables, and online patient interactions, to improve healthcare systems through data-driven insights. Our research focuses on applying aggregate patient data to clinical questions, predicting healthcare needs, and developing novel data analysis methods.
Collections
3
models
19
StanfordShahLab/llama-base-4096-clmbr
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StanfordShahLab/gpt-base-512-clmbr
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StanfordShahLab/llama-base-2048-clmbr
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StanfordShahLab/llama-base-512-clmbr
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StanfordShahLab/mamba-tiny-16384-clmbr
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StanfordShahLab/llama-base-1024-clmbr
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StanfordShahLab/mamba-tiny-8192-clmbr
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StanfordShahLab/mamba-tiny-1024-clmbr
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StanfordShahLab/gpt-base-4096-clmbr
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8
StanfordShahLab/mamba-tiny-4096-clmbr
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10
datasets
None public yet