1 code implementation • 10 Dec 2023 • Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
To solve this problem, we propose a supervised contrastive learning framework that learns an embedding representation for each time step of a patient time series.
no code implementations • 29 Jan 2023 • Wenbin Zhang, Jeremy C. Weiss
There has been concern within the artificial intelligence (AI) community and the broader society regarding the potential lack of fairness of AI-based decision-making systems.
no code implementations • 28 Aug 2022 • Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
With COVID-19 now pervasive, identification of high-risk individuals is crucial.
no code implementations • 30 Mar 2022 • Wenbin Zhang, Jeremy C. Weiss
Recent works in artificial intelligence fairness attempt to mitigate discrimination by proposing constrained optimization programs that achieve parity for some fairness statistic.
no code implementations • 15 Feb 2022 • Wenbin Zhang, SHimei Pan, Shuigeng Zhou, Toby Walsh, Jeremy C. Weiss
The importance of understanding and correcting algorithmic bias in machine learning (ML) has led to an increase in research on fairness in ML, which typically assumes that the underlying data is independent and identically distributed (IID).
no code implementations • 17 Aug 2021 • Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl
This algorithm, called FARF (Fair and Adaptive Random Forests), is based on using online component classifiers and updating them according to the current distribution, that also accounts for fairness and a single hyperparameters that alters fairness-accuracy balance.
no code implementations • 15 Jul 2020 • Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
As an alternative, we present an interpretable neural network approach to jointly learn a survival model to predict time-to-event outcomes while simultaneously learning how features relate in terms of a topic model.
1 code implementation • 2 Jun 2020 • Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
Finally, the PEER score is provided in the form of a nomogram for direct calculation of patient risk, and can be used to highlight at-risk patients among critical care patients eligible for ECMO.
no code implementations • ICLR 2020 • George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss
The two approaches we propose differ in the generality of topic models they can learn.
no code implementations • 12 Nov 2019 • Yoonjung Kim, Jeremy C. Weiss
We focus on this problem in point processes, a popular modeling technique for the analysis of the temporal event sequences in electronic health records (EHR) data with applications in risk stratification and risk score systems.
no code implementations • 27 Sep 2018 • Jeremy C. Weiss
Timestamped sequences of events, pervasive in domains with data logs, e. g., health records, are often modeled as point processes with rate functions over time.
no code implementations • 2 Dec 2017 • George H. Chen, Jeremy C. Weiss
For example, by seeing "gallstones" in a document, we are fairly certain that the document is partially about medicine.