Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Van Ness, Mike"'
Autor:
Van Ness, Mike, Udell, Madeleine
Survival analysis is widely used as a technique to model time-to-event data when some data is censored, particularly in healthcare for predicting future patient risk. In such settings, survival models must be both accurate and interpretable so that u
Externí odkaz:
http://arxiv.org/abs/2404.14689
Autor:
Van Ness, Mike, Bosschieter, Tomas, Din, Natasha, Ambrosy, Andrew, Sandhu, Alexander, Udell, Madeleine
Survival analysis, or time-to-event analysis, is an important and widespread problem in healthcare research. Medical research has traditionally relied on Cox models for survival analysis, due to their simplicity and interpretability. Cox models assum
Externí odkaz:
http://arxiv.org/abs/2310.15472
Autor:
Van Ness, Mike, Shen, Huibin, Wang, Hao, Jin, Xiaoyong, Maddix, Danielle C., Gopalswamy, Karthick
Meta-forecasting is a newly emerging field which combines meta-learning and time series forecasting. The goal of meta-forecasting is to train over a collection of source time series and generalize to new time series one-at-a-time. Previous approaches
Externí odkaz:
http://arxiv.org/abs/2302.02077
Publikováno v:
SIGKDD 2023 Proceedings p5004 5015
Missing data is common in applied data science, particularly for tabular data sets found in healthcare, social sciences, and natural sciences. Most supervised learning methods only work on complete data, thus requiring preprocessing such as missing v
Externí odkaz:
http://arxiv.org/abs/2211.09259