Decode Health 利用人工智能实现更好的患者治疗效果
公司规模
SME
地区
- America
国家
- United States
产品
- DataRobot AI Cloud
- AutoML
- Automated Time series
技术栈
- Machine Learning
- Predictive Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
- Innovation Output
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
适用行业
- 医疗保健和医院
适用功能
- 产品研发
- 质量保证
用例
- 预测性维护
- 远程病人监护
服务
- 数据科学服务
关于客户
Decode Health 是一家医疗保健 AI 公司，为从诊断公司到制药公司等各种组织提供外包创新团队。该公司帮助其合作伙伴快速且经济高效地利用其数据解锁新发现。目前的项目包括基因组数据创建、RNA 诊断和人口健康分析。Decode Health 的工作具有预测性、主动性，并且可扩展到不断发展的医疗保健生态系统。在过去十年中，领导 Decode 的团队构建了一个框架，利用各种工具（包括先进的机器学习方法）来提供准确的结果。
挑战
医疗保健 AI 公司 Decode Health 一直依靠预测分析来利用数据发现新事物。然而，在早期，建模是一项缓慢的手动任务。分析一个数据集可能需要两到三周的时间，需要两到三名数据团队成员全天候工作。这种繁琐的手动工作包括大量时间准备数据、等待模型、重新校准和再次等待。该公司需要一种可以简化此流程并更快、更经济高效地提供准确结果的解决方案。
解决方案
Decode Health 转向 DataRobot AI Cloud 进行自动化机器学习，以帮助预测健康结果并推动更积极主动、更低成本的护理。DataRobot AI Cloud 简化了端到端的预测分析，使团队能够更有策略地专注于数据元素和理解结果。借助 DataRobot AI Cloud，该公司通过自动化机器学习增强了其框架，从而简化了端到端的预测分析。过去，对单个数据集的全面分析可能需要数周时间，需要多名数据团队成员全天候工作；现在，他们在几天内就能完成同样的任务。
运营影响
数量效益
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