This paper is in the following e-collection/theme issue:

Peer-to-Peer Support and Online Communities (652) Heart Failure Self-Management (155) Natural Language Processing (26) Cardiac Disease Management (100) Patient-Views on Cardiology Technology and Innovations (9) Implantable Cardioverter Defibrillator (ICD) Care and Innovations (13)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50009, first published .
Using Topic Modeling to Understand Patients’ and Caregivers’ Perspectives About Left Ventricular Assist Device: Thematic Analysis

Using Topic Modeling to Understand Patients’ and Caregivers’ Perspectives About Left Ventricular Assist Device: Thematic Analysis

Using Topic Modeling to Understand Patients’ and Caregivers’ Perspectives About Left Ventricular Assist Device: Thematic Analysis

Authors of this article:

Semyon Melnikov1 Author Orcid Image ;   Stav Klein2 Author Orcid Image ;   Moni Shahar2 Author Orcid Image ;   David Guy3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Semyon Melnikov   1 , PhD ;   Stav Klein   2 , PhD ;   Moni Shahar   2 , PhD ;   David Guy   3 , MSc

1 Nursing Department, Steyer School of Health Professions, Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel

2 The Tel Aviv University Center for AI and Data Science, Tel Aviv University, Tel Aviv, Israel

3 Steyer School of Health Professions, Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel

Corresponding Author:

  • Semyon Melnikov, PhD
  • Nursing Department, Steyer School of Health Professions
  • Faculty of Medical & Health Sciences
  • Tel Aviv University
  • Haim Levanon 55
  • Tel Aviv, 6997801
  • Israel
  • Phone: 972 36405456
  • Email: melniko@tauex.tau.ac.il