Models from "MOTOR: A Time-To-Event Foundation Model For Structured Medical Records" ICLR 2024
š https://iclr.cc/virtual/2024/poster/18777

Stanford Shah Lab
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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/clmbr-t-base
Updated
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554
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59

StanfordShahLab/hyena-large-16384-clmbr
Updated

StanfordShahLab/hyena-large-8192-clmbr
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StanfordShahLab/hyena-large-4096-clmbr
Updated

StanfordShahLab/hyena-large-1024-clmbr
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StanfordShahLab/llama-base-4096-clmbr
Updated
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64

StanfordShahLab/llama-base-2048-clmbr
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249

StanfordShahLab/llama-base-1024-clmbr
Updated

StanfordShahLab/llama-base-512-clmbr
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5

StanfordShahLab/mamba-tiny-16384-clmbr
Updated
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