This Research aims to investigate the impact of Vertebral Subluxation, or dysfunction, on stress levels. The study will utilise machine-learning models and time series analysis to predict stress based on subluxation severity and to analyse its evolution over time. Participants underwent chiropractic sessions, with stress levels gauged using Heart Rate Variation (HRV), sputum, and hair cortisol. Key outcomes will determine whether chiropractic care influences stress levels and elucidate the relationship between subluxation and stress. The integration of Artificial Intelligence into chiropractic research aims to provide personalised interventions and deepen the understanding of patient care.
Grant Value: $19,947.52 (funding for the first year)
Chief Investigator: Dr Imran Amjad & Dr Imran Khan Niazi – New Zealand College of Chiropractic
Status: In Progress
Researcher updates:
- January 2025
Data preprocessing (extraction of Subluxation from clinical notes ) and conversion of the non-structured data into structured data has commenced and it should be finished by June 2025. Once the data is in a structured format, the . attention will be focussed on looking at the predictive AI-based modelling.