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How High-Risk Comorbidities Co-Occur in Readmitted Patients With Hip Fracture: Big Data Visual Analytical Approach.

Suresh K BhavnaniBryant DangRebekah PentonShyam VisweswaranKevin E BasslerTianlong ChenMukaila A RajiRohit DivekarRaed ZuhourAmol M KarmarkarAshwani K SingalKenneth J Ottenbacher
Published in: JMIR medical informatics (2020)
The integrated analysis of risk, co-occurrence, and patient subgroups enabled the inference of processes that precipitate readmission, leading to a comorbidity exacerbation risk model for readmission after HFx. These results have direct implications for (1) the management of comorbidities targeted at high-risk subgroups of patients with the goal of pre-emptively reducing their risk of readmission and (2) the development of more accurate risk prediction models that incorporate information about patient subgroups.
Keyphrases
  • big data
  • hip fracture
  • case report
  • artificial intelligence
  • machine learning
  • chronic obstructive pulmonary disease
  • healthcare
  • single cell
  • intensive care unit
  • drug delivery
  • deep learning
  • mass spectrometry