Lichy Han
Stanford University
27 Papers
223 Citations
Lichy Han is an academic researcher from Stanford University. The author has contributed to research in topics: Repolarization & Implantable cardioverter-defibrillator. The author has an hindex of 12, co-authored 25 publications. Previous affiliations of Lichy Han include National Institutes of Health & Johns Hopkins University School of Medicine.
Chat about Author
Papers
Atrial Fibrillation Burden Signature and Near-Term Prediction of Stroke: A Machine Learning Analysis.
Lichy Han,Mariam Askari,Russ B. Altman,Susan K. Schmitt,Jun Fan,Jason Bentley,Sanjiv M. Narayan,Mintu P. Turakhia,Mintu P. Turakhia +8 more
TL;DR: This proof-of-concept study found that machine learning and ensemble methods that incorporate daily AF burden signature provided incremental prognostic value for risk stratification beyond CHA2DS2-VASc for near-term risk of stroke.
83
Predictive value of beat-to-beat QT variability index across the continuum of left ventricular dysfunction: competing risks of noncardiac or cardiovascular death and sudden or nonsudden cardiac death.
Larisa G. Tereshchenko,Iwona Cygankiewicz,Scott McNitt,Rafael Vázquez,Antoni Bayes-Genis,Lichy Han,Sanjoli Sur,Jean-Philippe Couderc,Ronald D. Berger,Antoni Bayés de Luna,Wojciech Zareba +10 more
TL;DR: In this article, the predictive value of beat-to-beat QT variability in heart failure patients across the continuum of left ventricular dysfunction was determined, and the highest QTVI quartile was associated with cardiovascular death.
57
Beat-to-beat three-dimensional ECG variability predicts ventricular arrhythmia in ICD recipients
Larisa G. Tereshchenko,Lichy Han,Alan Cheng,Joseph E. Marine,David D. Spragg,Sunil Sinha,Darshan Dalal,Hugh Calkins,Gordon F. Tomaselli,Ronald D. Berger +9 more
TL;DR: A relatively large T peaks cloud volume is associated with increased risk of VA in patients with structural heart disease and systolic dysfunction.
41
ECG Marker of Adverse Electrical Remodeling Post-Myocardial Infarction Predicts Outcomes in MADIT II Study
TL;DR: In MADIT II patients, increased SAI QRST is associated with increased risk of sustained VT/VF with appropriate ICD therapies and all-cause death in both ICD and in conventional medical therapy arms, and in patients with and without BBB.
Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system
TL;DR: The authors' models produced prioritized report orderings that enable FDA safety evaluators to focus on reports that are more likely to contain valuable medication-related adverse event information and have the potential to streamline the manual review process and greatly reduce reviewer workload.
33