Summary of Peri-aiims: Perioperative Artificial Intelligence Driven Integrated Modeling Of Surgeries Using Anesthetic, Physical and Cognitive Statuses For Predicting Hospital Outcomes, by Sabyasachi Bandyopadhyay et al.
Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes
by Sabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick Tighe, Catherine Price, Parisa Rashidi
First submitted to arxiv on: 29 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper investigates the connection between a patient’s cognitive status before surgery and their post-operative outcomes. It proposes using low-cost intraoperative data, combined with demographic information, physical status, and comorbidities, to predict long-term surgical impacts. The study focuses on six specific surgical groups, using machine learning models to classify outcomes and identifying key features that contribute to successful predictions. Shapley Additive Explanations (SHAP) analysis is employed to determine the most influential factors for different surgery-outcome combinations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how well people do after surgery based on their thinking skills before the operation. It tries to figure out what information is important for predicting the results of different surgeries and what makes some people recover better than others. The researchers used special computer programs to analyze data from patients who had different kinds of operations, and they found that combining information about patients’ thinking, age, health status, and medical problems helped them make more accurate predictions. |
Keywords
* Artificial intelligence * Machine learning
