Zobrazeno 1 - 10
of 13 311
pro vyhledávání: '"VAN SCHAIK, A."'
This work proposes a fairness monitoring approach for machine learning models that predict patient mortality in the ICU. We investigate how well models perform for patient groups with different race, sex and medical diagnoses. We investigate Document
Externí odkaz:
http://arxiv.org/abs/2411.00190
Autor:
Gao, Chenyu, Kim, Michael E., Ramadass, Karthik, Kanakaraj, Praitayini, Krishnan, Aravind R., Saunders, Adam M., Newlin, Nancy R., Lee, Ho Hin, Yang, Qi, Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Barnes, Lisa L., Bennett, David A., Van Schaik, Katherine D., Archer, Derek B., Hohman, Timothy J., Jefferson, Angela L., Išgum, Ivana, Moyer, Daniel, Huo, Yuankai, Schilling, Kurt G., Zuo, Lianrui, Bao, Shunxing, Khairi, Nazirah Mohd, Li, Zhiyuan, Davatzikos, Christos, Landman, Bennett A.
Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting early detection and implementation of prevention strategies. Diffusion M
Externí odkaz:
http://arxiv.org/abs/2410.22454
Rapid detection of gas concentration is important in different domains like gas leakage monitoring, pollution control, and so on, for the prevention of health hazards. Out of different types of gas sensors, Metal oxide (MOx) sensors are extensively u
Externí odkaz:
http://arxiv.org/abs/2410.16677
Autor:
Reasat, Tahsin, Chenard, Stephen, Rekulapelli, Akhil, Chadwick, Nicholas, Shechtel, Joanna, van Schaik, Katherine, Smith, David S., Lawrenz, Joshua
Accurate musculoskeletal soft tissue tumor segmentation is vital for assessing tumor size, location, diagnosis, and response to treatment, thereby influencing patient outcomes. However, segmentation of these tumors requires clinical expertise, and an
Externí odkaz:
http://arxiv.org/abs/2409.03110
Autor:
Dobrita, Alexandra, Yousefzadeh, Amirreza, Thorpe, Simon, Vadivel, Kanishkan, Detterer, Paul, Tang, Guangzhi, van Schaik, Gert-Jan, Konijnenburg, Mario, Gebregiorgis, Anteneh, Hamdioui, Said, Sifalakis, Manolis
For Edge AI applications, deploying online learning and adaptation on resource-constrained embedded devices can deal with fast sensor-generated streams of data in changing environments. However, since maintaining low-latency and power-efficient infer
Externí odkaz:
http://arxiv.org/abs/2406.17285
Autor:
Dennler, Nik, Drix, Damien, Warner, Tom P. A., Rastogi, Shavika, Della Casa, Cecilia, Ackels, Tobias, Schaefer, Andreas T., van Schaik, André, Schmuker, Michael
Animals have evolved to rapidly detect and recognise brief and intermittent encounters with odour packages, exhibiting recognition capabilities within milliseconds. Artificial olfaction has faced challenges in achieving comparable results -- existing
Externí odkaz:
http://arxiv.org/abs/2406.01904
Autor:
Gao, Chenyu, Kim, Michael E., Lee, Ho Hin, Yang, Qi, Khairi, Nazirah Mohd, Kanakaraj, Praitayini, Newlin, Nancy R., Archer, Derek B., Jefferson, Angela L., Taylor, Warren D., Boyd, Brian D., Beason-Held, Lori L., Resnick, Susan M., Team, The BIOCARD Study, Huo, Yuankai, Van Schaik, Katherine D., Schilling, Kurt G., Moyer, Daniel, Išgum, Ivana, Landman, Bennett A.
Imaging findings inconsistent with those expected at specific chronological age ranges may serve as early indicators of neurological disorders and increased mortality risk. Estimation of chronological age, and deviations from expected results, from s
Externí odkaz:
http://arxiv.org/abs/2311.03500
This article introduces the Event based Prediction Suffix Tree (EPST), a biologically inspired, event-based prediction algorithm. The EPST learns a model online based on the statistics of an event based input and can make predictions over multiple ov
Externí odkaz:
http://arxiv.org/abs/2310.14944
Gas concentration detection is important for applications such as gas leakage monitoring. Metal Oxide (MOx) sensors show high sensitivities for specific gases, which makes them particularly useful for such monitoring applications. However, how to eff
Externí odkaz:
http://arxiv.org/abs/2310.07475
Autor:
Lucas Frederik van Schaik, Ellen Gurumay Engelhardt, Wim Herbert van Harten, Valesca Pavlawna Retèl
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Comprehensive genomic profiling (CGP) can identify targets beyond standard of care, potentially revolutionizing personalized cancer management. However, conducting well designed studies in this rapidly evolving field is complex an
Externí odkaz:
https://doaj.org/article/dfa775076b254ef5919331a8af7dd92e
