NIPS 2015 Workshop on Machine Learning For Healthcare

临床数据的可用性和规模的增加为开发和应用机器学习方法提供了丰富的机会，以解决临床医生面临的问题，并引入新的医疗实践形式（如个性化医疗），否则这些方法是不可行的。 该研讨会重点关注医疗保健领域的机器学习，将与蒙特利尔年度神经信息处理系统（NIPS）会议同期举行，后者是机器学习研究领域最重要的国际会议。 该研讨会将i）帮助建立专注于医疗保健问题解决方案的机器学习研究人员社区，ii）促进机器学习和临床研究人员之间的讨论，以利用机器学习为医疗保健服务。 研讨会包括工业界和学术界的参与者。 它包括一个“医疗保健挑战”会议，临床研究人员将为统计机器学习社区带来新的问题。该奖项支持博士生参加研讨会，因此将影响未来统计学习在医疗保健中应用的劳动力。 学生将被介绍到关键的开放性问题，并与成熟的机器学习和临床研究人员互动，从而鼓励他们投资到这个新兴领域。

The rise in availability and size of clinical data presents rich opportunities to develop and apply machine learning methods to solve problems faced by clinicians and usher in new forms of medical practice (such as personalized medicine) that would otherwise be infeasible. This workshop, focused on machine learning for healthcare, will be co-located with the annual Neural Information Processing Systems (NIPS) conference in Montreal, the foremost international meeting for machine learning research. The workshop will i) help build the community of machine learning researchers focused on solutions to healthcare problems, and ii) foster discussions between machine learning and clinical researchers to leverage machine learning in service of healthcare. The workshop includes industry and academic participants. It includes a "healthcare challenges" session in which clinical researchers will bring new problems to the statistical machine learning community.This award supports Ph.D student attendance at the workshop, and hence will influence the future workforce in applications of statistical learning to healthcare. The students will be introduced to key open questions and interact with established machine learning and clinical researchers, thus encouraging their investment into this emerging domain.