arXiv research

New model predicts ICU patient stays more accurately.

Research shows a significant increase in stay lengths for digital nomads in the U.S. during and after the pandemic.

New model predicts ICU patients' stay duration efficiently.

Bayesian nonparametric models identify subgroups in hospital stay data.

RAIM models ICU patient data for better clinical decision support.

Study examines mean curvature flow on graphs of maps between manifolds.

Selective prediction-set models improve predictive reliability and uncertainty quantification.

A novel approach combines interpretability and performance in machine learning models.

The paper studies the correlation of Hilbert lengths for convex projective surfaces.

We prove that the curvature flow of an embedded planar network of three curves connected through a triple junction, with fixed endpoints on the boundary of a given strictly convex domain, exists smooth until the lengths of the three curves stay far from zero. If this is the case for all times, then the evolution exists…

Clinical notes improve ICU patient condition prediction.

Geodesic envelopes stay uniformly bounded in specific Teichmüller spaces.

We consider a regular embedded network composed by two curves, one of them closed, in a convex domain $Ω$. The two curves meet only in one point, forming angle of $120$ degrees. The non-closed curve has a fixed end point on $\partialΩ$. We study the evolution by curvature of this network. We show that the maximal exist…

Clinical models trained on EHRs degrade in performance over time due to data drift.

Proposes proactive bed requests to reduce ED boarding and patient wait times.

New model detects postoperative complications early after surgery.

Health care is one of the most exciting frontiers in data mining and machine learning. Successful adoption of electronic health records (EHRs) created an explosion in digital clinical data available for analysis, but progress in machine learning for healthcare research has been difficult to measure because of the absen…

We analyse the structure of the distribution of eigenvalues of the stock market correlation matrix with increasing length of the time series representing the price changes. We use 100 highly-capitalized stocks from the American market and relate result to the corresponding ensemble of Wishart random matrices. It turns …

The paper proves stability of critical points for conformally invariant Lagrangians.

New deep learning model tackles sparse clinical data.

Markov's theorem classifies the worst irrational numbers with respect to rational approximation and the indefinite binary quadratic forms whose values for integer arguments stay farthest away from zero. The main purpose of this paper is to present a new proof of Markov's theorem using hyperbolic geometry. The main ingr…

This study aims to predict vessel stay and delay times at ports to optimize logistics.

Artin-Tits groups act loxodromically on a delta-hyperbolic complex, with most elements doing so.

A novel continual prediction model outperforms traditional one-time models in predicting AKI.

TAPER learns unified patient EHR representations for healthcare tasks.

Study automates detection of visitation disruptions in ICU patients.

New method predicts ICU stay for pancreatitis patients.

Study compares federated and centralized learning for patient data privacy.

Estimates individualized treatment effects using shared RBF-net neurons.

We consider the limit set in Thurston's compactification PMF of Teichmueller space of some Teichmueller geodesics defined by quadratic differentials with minimal but not uniquely ergodic vertical foliations. We show that a) there are quadratic differentials so that the limit set of the geodesic is a unique point, b) th…

Clarifies when solutions to stochastic PDEs stay near given subsets.

New method for discrete-time survival analysis with competing risks.

Random curves on surfaces have predictable properties as they grow.

A geodesic $g$ is Morse, for every $L \geq 1, A \geq 0$ there exists a $C=C_g(L,A)$ such that any $(L,A)$-quasi-geodesic connecting two points on $g$ stays $C$-close to $g$. The Morse lemma implies that in a hyperbolic space every geodesic is Morse. Here we prove the converse: If a homogeneous proper geodesic space is …

The study combines social interaction data into a single network, identifying stable groups of chimpanzees.

We show that simple random walks on (non-trivial) relatively hyperbolic groups stay $O(\log(n))$-close to geodesics, where $n$ is the number of steps of the walk. Using similar techniques we show that simple random walks in mapping class groups stay $O(\sqrt{n\log(n)})$-close to geodesics and hierarchy paths. Along the…

In our empirical study, we examine the price of liquid stocks after experiencing a large intraday price change using data from the NYSE and the NASDAQ. We find significant reversal for both intraday price decreases and increases. The results are stable against varying parameters. While on the NYSE the large widening of…

Deep learning models outperform other methods on ICU patient data.

The paper improves embedding results for $CR$ submanifolds, showing that compact deformations stay embeddable.

Machine learning models trained on hospital data degrade over time due to changing practices.

Adam optimizer fails to stay close to optimal point under certain conditions.

We prove existence and uniqueness of entire spacelike hypersurfaces in the Minkowski space with prescribed negative scalar curvature, and with given values at infinity which stay at a bounded distance of a lightcone.

Public benchmark for machine learning models in critical care.

Paper infers human mobility from sparse trajectories.

We show that any number of disjointly embedded 2-spheres in 4-space can be pulled apart by a link homotopy, ie, by a motion in which the 2-spheres stay disjoint but are allowed to self-intersect.

Study finds little progress in medical machine learning benchmarks over 3 years.

We study the properties of Modified Riemann extensions evolving under Ricci flow. We obtain the necessary and sufficient condition for modified Riemann extension under Ricci flow to stay as modified Riemann extension. We also discuss the properties of the curvature tensors under Ricci flow.

A new model improves homogeneity in burn patient reimbursement.