In the medical informatics,most algorithms for clinical settings are initially developed and evaluated using retrospective ***,researchers often lack convenient methods to validate their algorithms with real-time pati...
详细信息
ISBN:
(纸本)9781467329705
In the medical informatics,most algorithms for clinical settings are initially developed and evaluated using retrospective ***,researchers often lack convenient methods to validate their algorithms with real-time patient *** bridge the gap between research and clinical applications,we present a research infrastructure that grants researchers access to real-time clinical data without disturbing patient *** infrastructure is based on the Healtii Level Seven (HL7) messaging ***/discharge/transfer and obseiration result messages (?mtaining lab test results and vital signs) are deidentified in real-time on a hospital network and subsequently transmitted to a research *** the processing duster on ttie research network can process incoming *** for a wide variety of *** the research network,a translator for converting Ihe HL7 data stream into MATLAB format is created for convenient algoritiim *** an example,we evaluated a hypotension predictor using our realtime testing enviranmoit Our infrastructure can easily be replicated in other institutions and has the potential to benefit many researchers In translattonal medicine.
Pedestrian trajectory prediction is an important module in autonomous vehicles (AVs) to ensure safe and effective motion planning. Recently, many deep learning algorithms that achieve near real-time trajectory predict...
详细信息
ISBN:
(纸本)9781450398862
Pedestrian trajectory prediction is an important module in autonomous vehicles (AVs) to ensure safe and effective motion planning. Recently, many deep learning algorithms that achieve near real-time trajectory predictions have been developed. However, people in the artificial intelligence (AI) ethics community have raised critical concerns about the bias and fairness of many general deep learning algorithms. For example, most pedestrian trajectory data is collected from majority populations, and models learned from this data may not generalize well to the heterogeneous needs and behavior patterns of different pedestrian groups, especially for vulnerable pedestrians like the disabled, the elderly, and children. Biases present in trajectory prediction algorithms could mean that pedestrians from certain vulnerable demographics are more likely to be involved in vehicle crashes. In this work, we test two state-of-the-art pedestrian trajectory prediction models for age and gender biases across three different datasets. We design and utilize novel evaluation metrics for comparing model performance. We find that both models perform worse on children and the elderly compared to adults. However, their performance is similar between men and women. We identify potential sources of these biases, as well as discuss several limitations of our study. Our future work will consist of testing more models, refining our evaluation metrics, further differentiating the dataset bias from the algorithmic bias, and mitigating the algorithmic biases.
Computer-assisted analysis of mammogram may provide clues for diagnosis of early *** to ordinary images,mammograms feature vagueness and ***,it’s of great importance to enhance the contrast of *** paper introduced tr...
详细信息
Computer-assisted analysis of mammogram may provide clues for diagnosis of early *** to ordinary images,mammograms feature vagueness and ***,it’s of great importance to enhance the contrast of *** paper introduced traditional algorithms of image enhancement,and presented the regionbased and feature-based algorithms for *** addition,three quantitative evaluations of contrast enhancement proposed by Bovis and Singh at University of Exeter in UK are introduced.
暂无评论