Machine Learning Applications in Subluxation Analysis and Treatment: Which Variables Matter Most to Clinical Outcomes?

Session Information

Regional Event: sw
Start Date: 11/22/2024 3:20 pm
End Date: 11/22/2024 5:00 pm
Location: Orchid Ballroom 3-4

Speakers in this session...

  • Deed E. Harrison

    Deed E. Harrison DC

    Deed E. Harrison, D.C., graduated from Life-West Chiropractic College in 1996. Dr. Harrison has developed and researched original spinal rehabilitation procedures and has lectured to thousands of Chiropractors at nearly 1000 educational conferences around the world. He has authored approximately 234 peer-reviewed spine-related publications, 7 spine textbooks, and numerous conference proceedings. He is a highly respected chiropractic researcher and authority in today’s profession.

    Dr. Harrison is a manuscript reviewer for several peer-reviewed Spine journals including: Spine, Clinical Biomechanics, Clinical Anatomy, Archives of Physical Medicine & Rehabilitation, the European Spine Journal, BMC Complimentary Alternative Medicine, and BMC Musculo-Skeletal Disorders.

    Additionally, Dr. Harrison is a past member to the International Society for the Study of the Lumbar Spine (ISSLS), is a former International Chiropractors Association’s (ICA) Nevada State Assembly Representative member, and is the acting Chair of the PCCRP Chiropractic Radiography Guidelines. He formerly held a position on the Chiropractic Physicians Board of Nevada. Currently, Dr. Harrison is the President / CEO of Chiropractic BioPhysics® (CBP®)Technique & Seminars and is the President of CBP NonProfit, Inc. – a spinal research foundation.

    Sessions...

    Machine Learning Applications in Subluxation Analysis and Treatment: Which Variables Matter Most to Clinical Outcomes?
    Regional Event: sw
    Start Date: 11/22/2024 3:20 pm
    End Date: 11/22/2024 5:00 pm
    Location: Orchid Ballroom 3-4
    Session details

    Objectives:

    1. Biomechanical and neuro-physiological aspects of sagittal plane alignment will be
    reviewed emphasizing unique types of cervical spine subluxation/displacements.
    2. Emphasis will be placed using machine learning (artificial intelligence) programs on large databases in an effort to delineate the most relevant patient and spine characteristics that predict or must be accounted for to improve patient outcomes. Three different prospective datasets will be used to determine if age, sex, pain, disability, frequency, duration, compliance with care, and subluxation types have influence and relevance towards improving chronic pain disorders. The Chiropractor will come out with an appreciation of which variables to address and emphasize in specific patient populations with the goal of improving patient compliance, understanding, and outcomes of care.
    3. Finally, functional outcome measures of athletic skills, jump biomechanics, and gait analysis will be connected to posture and spine displacements so the attendee will have an appreciation for how the information has relevance to athletes and athletic performance.

    Description:   This course offers a detailed understanding of cervical spine and posture abnormalities, focusing on biomechanical and neurophysiological aspects of sagittal plane alignment and unique types of subluxations. Using machine learning and large datasets, the course identifies key factors like age, sex, pain, and compliance that influence outcomes in chronic pain management. Participants will gain insights into applying these data-driven findings to improve patient care, compliance, and outcomes. Additionally, functional outcome measures such as gait analysis and jump biomechanics will be linked to posture and spine displacements, with a focus on their relevance to athletic performance.

Objectives:

1. Biomechanical and neuro-physiological aspects of sagittal plane alignment will be
reviewed emphasizing unique types of cervical spine subluxation/displacements.
2. Emphasis will be placed using machine learning (artificial intelligence) programs on large databases in an effort to delineate the most relevant patient and spine characteristics that predict or must be accounted for to improve patient outcomes. Three different prospective datasets will be used to determine if age, sex, pain, disability, frequency, duration, compliance with care, and subluxation types have influence and relevance towards improving chronic pain disorders. The Chiropractor will come out with an appreciation of which variables to address and emphasize in specific patient populations with the goal of improving patient compliance, understanding, and outcomes of care.
3. Finally, functional outcome measures of athletic skills, jump biomechanics, and gait analysis will be connected to posture and spine displacements so the attendee will have an appreciation for how the information has relevance to athletes and athletic performance.

Description:   This course offers a detailed understanding of cervical spine and posture abnormalities, focusing on biomechanical and neurophysiological aspects of sagittal plane alignment and unique types of subluxations. Using machine learning and large datasets, the course identifies key factors like age, sex, pain, and compliance that influence outcomes in chronic pain management. Participants will gain insights into applying these data-driven findings to improve patient care, compliance, and outcomes. Additionally, functional outcome measures such as gait analysis and jump biomechanics will be linked to posture and spine displacements, with a focus on their relevance to athletic performance.