Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Farzaneh Khoshnevisan"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:7682-7690
Student modeling sits at the epicenter of adaptive learning technology. In contrast to the voluminous work on student modeling for well-defined domains such as algebra, there has been little research on student modeling in programming (SMP) due to da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::feb550b947ae7f1bb2725ca03904997a
https://doi.org/10.1609/aaai.v36i7.20735
https://doi.org/10.1609/aaai.v36i7.20735
Autor:
Farzaneh Khoshnevisan, Min Chi
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030864859
ECML/PKDD (1)
ECML/PKDD (1)
In clinical deployment, the performance of a model trained from one or more medical systems often deteriorates on another system and such deterioration is especially evident among minority patients who often have limited data. In this work, we presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4f513576cd7edc8c41f3ec4d259b692
https://doi.org/10.1007/978-3-030-86486-6_32
https://doi.org/10.1007/978-3-030-86486-6_32
Autor:
Farzaneh Khoshnevisan, Min Chi
Publikováno v:
IEEE BigData
Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. While most of prior work has mainly focused on developing effective disease progression models using EHRs collected from an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a23251ae25fa7f34e48f6128ef6ff66b
Publikováno v:
BCB
It is shown that appropriate therapeutic management at early stages of sepsis are crucial for preventing further deterioration and irreversible organ damage. Although previous studies considered the cellular and physiological responses as the compone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b275d3e4e7a4be36fd12f1b47ca6528
https://doi.org/10.1145/3307339.3342160
https://doi.org/10.1145/3307339.3342160
Publikováno v:
ICHI
The main challenge in applying data analysis and constructing prediction models to electronic health records (EHR) lies in the substantial missing rate in such data. Some commonly employed missing data handling approaches include mean-or median-filli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0ac44a3071414cd8707ce823ef29f60
https://doi.org/10.1109/ichi.2019.8904824
https://doi.org/10.1109/ichi.2019.8904824
Publikováno v:
ICHI
Sepsis is a leading cause of in-hospital death over the world and septic shock, the most severe complication of sepsis, reaches a mortality rate as high as 50%. Early diagnosis and treatment can prevent most morbidity and mortality. In this work, Rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::792b64bdb760c85e20dd4d8bb641b32d
https://doi.org/10.1109/ichi.2018.00033
https://doi.org/10.1109/ichi.2018.00033