Information Sharing for Care Coordination
Authors: Ofra Amir
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Results from empirical evaluation show that it outperforms the inform algorithm proposed by Kamar et al. (2009) |
| Researcher Affiliation | Academia | Ofra Amir School of Engineering and Applied Sciences Harvard University oamir@seas.harvard.edu |
| Pseudocode | No | No pseudocode or algorithm blocks were found in the paper. |
| Open Source Code | No | The paper does not contain any explicit statements or links indicating that open-source code for the described methodology is provided. |
| Open Datasets | No | The paper describes data collected through "interviews with care providers and parents of children with complex conditions and made observation studies in the complex primary care clinic at Stanford" and a "Wizard of Oz pilot study," but it does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | No specific dataset split information, such as percentages, sample counts, or details on cross-validation, is provided in the paper. |
| Hardware Specification | No | No specific hardware details (like GPU/CPU models, memory amounts, or detailed computer specifications) used for running experiments are provided in the paper. |
| Software Dependencies | No | The paper mentions theoretical approaches like BDI and MDP-PRT, but it does not provide specific software names or library version numbers needed to replicate the experiment. |
| Experiment Setup | No | The paper discusses a "Wizard of Oz pilot study" and "empirical evaluation" of MDP-PRT, but it does not provide specific experimental setup details such as hyperparameter values, training configurations, or system-level settings. |