Statistical machine learning applied to screening drivers with cognitive impairment

DriveABLE从事评估个人认知能力的业务，因为它与车辆的安全操作有关。一个人需要两个测试：基于计算机的测试和道路测试。基于计算机的测试旨在预测人们在道路测试中的得分。大学研究团队将开发一种新的统计机器学习算法，该算法将基于计算机的测试结果作为输入，并将为道路测试产生预测分数。研究的目标是实现高预测精度的算法。目前，DriveABLE在这两个测试中有超过90，000个结果，这是一个庞大的数据集，为最近开发的各种统计机器学习技术打开了大门。

DriveABLE is engaged in the business of assessing the cognitive ability of individuals as it relates to the safe operation of a vehicle. A person takes two tests: computer based test and an on-road test. The computer based test is intended as a predictor of how people score in the on-road test. The University Research Team will develop a new statistical machine learning algorithm that will take computer based test results as its input and will produce a predicted score for the on-road test. The goal of the research is to achieve a high prediction accuracy of the algorithm. Currently, DriveABLE has more that 90,000 results for both tests, which is a large data set and opens door to a wide range of recently developed statistical machine learning techniques.