DSTNDS 2023
Data Science Techniques for Datasets on Mental and Neurodegenerative Disorders 2023

Table of Contents

• Preface
  Summary: There were 10 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, all 5 as regular papers.

Accepted Papers

• Childhood Adversity’s Impact on Dynamic Mental Health During and Post Pregnancy 1-17
  Jennifer Yu, Mai Ali, Rui Zhu, Parinita Edke, Anna Goldenberg
• Handwriting Task-Selection based on the Analysis of Patterns in Classification Results on Alzheimer Dataset 18-29
  Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, Gianfranco Semeraro
• An Approach using transformer architecture for emotion recognition through Electrocardiogram Signal(s) 30-52
  Vincenzo Dentamaro, Donato Impedovo, Luigi A. Moretti, Giuseppe Pirlo, Prem K. Suresh
• Assessment of Stress Levels using technological tools: A Review and Prospective Analysis of Heart Rate Variability and Sleep Quality Parameters 53-72
  Elena Sblendorio, Valentina Simonetti, Dania Comparcini, Donatella D’Accolti, Francesco Germini, Guglielmo Imbriaco, Alessio Lo Cascio, Alessandra Milani, Daniele Napolitano, Ahmad Israr, Giancarlo Cicolini
• A benchmarking study of deep learning techniques applied for breath analysis 73-83
  Vincenzo Dentamaro, Paolo Giglio, Donato Impedovo, Luigi A. Moretti, Giuseppe Pirlo, Elena Sblendorio