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researcher

Olivia R. Liu Sheng

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2
ORCID 0000-0002-5263-2726

identity via Semantic Scholar / OpenAlex

most citedHealthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns

34 citations · 35 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 1 cited

Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data

Mohammad Amin Morid, Olivia R. Liu Sheng

Problem: How can we design patient cost prediction models that effectively address the challenges of heterogeneity in administrative claims (AC) data to ensure accurate, fair, and…

cs.LG2020★ 34 cited

Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns

Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto +3

Objective: To design and assess a method to leverage individuals' temporal data for predicting their healthcare cost. To achieve this goal, we first used patients' temporal data in…

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