Scientific Computing Publications

Authored & Co-Authored by Patricia Kovatch, Dean of Scientific Computing and Data

  1. Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19 (Aug 2021) by P. Kovatch, A. Vaid et al.
  2. Prediction of individual COVID-19 diagnosis using baseline demographics and lab data (July 2021) by P. Kovatch, J. Zhang et al.
  3. Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City (July 2021) by P. Kovatch, S. K. Jaladanki et al.
  4. Outcomes of Patients on Maintenance Dialysis Hospitalized with COVID-19 (March 2021) by P. Kovatch, L. Chan et al.
  5. GUÍA: a digital platform to facilitate result disclosure in genetic counseling (Feb 2021) by P. Kovatch, S. A. Suckiel et al.
  6. The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children (Jan 2021) by P. Kovatch, J. A. Odgis et al.
  7. Physiology of cardiomyocyte injury in COVID-19 (Nov 2020) by P. Kovatch, M. M. Siddiq et al.
  8. Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients (Nov 2020) by P. Kovatch, A. Vaid et al.
  9. Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City (Nov 2020) by P. Kovatch, I. Paranjpe et al.
  10. An inflammatory cytokine signature predicts COVID-19 severity and survival (Oct 2020) by P. Kovatch, D. M. Del Valle et al.
  11. Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records (Oct 2020) by P. Kovatch, Z. Wang et al.
  12. COVID, Cancer, and HPC Highlight the Computational Approaches for Cancer Workshop at SC (Aug 2020) through SC20
  13. Optimizing High-Performance Computing Systems for Biomedical Workloads (July 2020) by P. Kovatch et al.
  14. An inflammatory cytokine signature helps predict COVID-19 severity and death (May 2020) by P. Kovatch, D. M. Del Valle et al.
  15. Optimizing High-Performance Computing Systems for Biomedical Workloads (May 2020) by P. Kovatch
  16. Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining (Sept 2018), P. Kovatch, K. Shameer et al.
  17. Big and disparate data: considerations for pediatric consortia (April 2017) by P. Kovatch, J. A. Stingone et al.
  18. Preserving Data: Who’s Got Your Back(up)? (Feb 2016) through ACSB: An International Forum for Cell Biology
  19. Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort (2016) by P. Kovatch, K. Shameer et al.
  20. Pharmacological factors associated with congestive heart failure hospital readmission: a case-study using 15,768 heart failure patients from two health systems (2016) by P. Kovatch, K. Johnson et al.
  21. Accelerating child health exposure research with the CHEAR data center (Oct 2016) by P. Kovatch, D.L. McGuinness et al.
  22. Lessons learned from the Children’s Health Exposure Analysis Resource (CHEAR) data center (Aug 2016) by P. Kovatch, D.L. McGuinness et al.
  23. Big Omics Data Experience (Nov 2015) by P. Kovatch et al.
  24. Improved grid security posture through multi-factor authentication (Sept 2011) by P. Kovatch, V. Hazelwood et al.
  25. The Malthusian catastrophe is upon us! Are the largest HPC machines ever up? (Aug 2011) by P. Kovatch et al.
  26. Increasing petascale resource utilization through bimodal scheduling policies (May 2011) by P. Kovatch, P. Andrews et al.
  27. Scheduling diverse high performance computing systems with the goal of maximizing utilization (Feb 2011) by P. Kovatch, T. Samuel et al.