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We propose to a dynamic, real-time, lightweight, end-to-end next day median ED-LoS prediction algorithm using time-series LSTM modelling. Similar method can be extended to unit-level KPI prediction.

Challenges in data labels

less than 1 minute read

Published: April 01, 2022

I here list some different challenges in data labels that I encountered in the past and ways to model them.

Reverse gradient searching for turning point

1 minute read

Published: March 31, 2022

This note summerizes using a simple and efficient trick: reverse gradient searching for finding turning points in noisy cases.

Time series clustering using tslearn

2 minute read

Published: August 01, 2021

TSlearn package for classic timeseries clustering methods.

Notes from reading papers on SBM and GNN

less than 1 minute read

Published: April 01, 2021

Notes from reading papers about Stochastic Block Models and Graph Neural Networks

Automatic python script start setup

2 minute read

Published: May 01, 2020

A simple tutorial on how to host a python service on a server using bat script and task scheduler.

OMP for sparse signal recovery

less than 1 minute read

Published: January 15, 2020

Ortogonal Matching Pursuit for recovering sparse signals

portfolio

card design: best wishes for 2022

less than 1 minute read

Published: December 31, 2021

Best Wishes for the year 2022. Copyright protected.

Museum Memes

less than 1 minute read

Published: July 31, 2022

Some memes that I created from visiting museums. Be Amused! Copyright protected.

publications

Segmentation of Thalamus from MR Images via Task- Driven Dictionary Learning

Published in 2016

Partial face recognition

Published in 2016

a framework proposed to recognize partial faces without requirement of alignment information

Compressive coding via random replicate mirror

Published in 2016

System calibration and image reconstruction of compressed sensing imaging system

Reconstruction-free deep convolutional neural networks for partially observed images

Published in 2018

Reconstruction-free (imputation-free) object detection on any observed patterns

Sub-bagging in sparse optimization

Published in 2019

This work studies what is optimal bootstrapping ratio for subsampled bagging in sparse optimization.

Collaborative ensambles in sparse optimization

Published in 2019

Collaborative ensambles in sparse optimization

Optical coherence tomography using physical domain data compression to achieve MHz A-scan rates

Published in 2019

MSAR: Identify comorbidities associated with recurrent ED and in-patient visits

Published in Journal 1 2022

Interpretable framework to identify top-X factors associated with ED & in-patient recurrent visits.

Recommended citation: LLL. (2022). "Identify comorbidities associated with recurrent ED and in-patient visits." Journal 1. 1(3). https://arxiv.org/abs/2110.13769

Improvements of LACE+ 30-day Readmission Risk Score

Published in 2022

17% AUC improvement of the original LACE+ readmission risk score

Predict unit-level LoS using time-series modelling

Published in 2022

a dynamic, real-time, deployment-friendly, lightweight, end-to-end next day median ED-LoS prediction algorithm using time-series LSTM modelling. Summary