Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research
Spinal Cord Stimulation (SCS) is a treatment for lumbar back pain and despitethe proven effcacy of t...
OBJECTIVE Nonroutine discharge after elective spine surgery increases healthcare costs, negatively i...
Tendency for data mining application in healthcare today is great, because healthcare sector is rich...
The recent influx of machine learning centered investigations in the spine surgery literature has le...
STUDY DESIGN: Narrative review. OBJECTIVES: There is growing interest in the use of biomedical infor...
As in many other surgical fields, the progress in machine learning (ML) has started to permeate spin...
Machine learning (ML) has increasingly seen introduction into medical research and practice over the...
Thesis (Ph.D.)--University of Washington, 2021Improvement of the healthcare system is a focal point ...
The societal burden of spinal conditions is vast and continues to grow with the in- creasing prevale...
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual...
Background Recent technological advances have led to the development and implementation of machine l...
Given the exponential availability of data in health centers and the massive sensorization that is e...
With the common adoption of electronic health records and new technologies capable of producing an u...
Medical image interpretation automation saves physicians time and boosts diagnostic confidence. Most...
With the continuous development of information technology, machine learning and data mining have gra...
Spinal Cord Stimulation (SCS) is a treatment for lumbar back pain and despitethe proven effcacy of t...
OBJECTIVE Nonroutine discharge after elective spine surgery increases healthcare costs, negatively i...
Tendency for data mining application in healthcare today is great, because healthcare sector is rich...
The recent influx of machine learning centered investigations in the spine surgery literature has le...
STUDY DESIGN: Narrative review. OBJECTIVES: There is growing interest in the use of biomedical infor...
As in many other surgical fields, the progress in machine learning (ML) has started to permeate spin...
Machine learning (ML) has increasingly seen introduction into medical research and practice over the...
Thesis (Ph.D.)--University of Washington, 2021Improvement of the healthcare system is a focal point ...
The societal burden of spinal conditions is vast and continues to grow with the in- creasing prevale...
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual...
Background Recent technological advances have led to the development and implementation of machine l...
Given the exponential availability of data in health centers and the massive sensorization that is e...
With the common adoption of electronic health records and new technologies capable of producing an u...
Medical image interpretation automation saves physicians time and boosts diagnostic confidence. Most...
With the continuous development of information technology, machine learning and data mining have gra...
Spinal Cord Stimulation (SCS) is a treatment for lumbar back pain and despitethe proven effcacy of t...
OBJECTIVE Nonroutine discharge after elective spine surgery increases healthcare costs, negatively i...
Tendency for data mining application in healthcare today is great, because healthcare sector is rich...
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