Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty.
Aazad AbbasJacob MosseriJohnathan R. LexJay ToorBheeshma RaviElias B. KhalilCari M. WhynePublished in: Int. J. Medical Informatics (2022)
Keyphrases
- intraoperative
- machine learning
- patient data
- operating room
- surgical procedures
- surgery planning
- intra operatively
- computer assisted
- pre operative
- x ray
- inter patient
- minimally invasive
- pattern recognition
- image guided
- machine learning methods
- minimally invasive surgery
- medical devices
- factors that influence
- decision trees
- deep brain stimulation
- machine learning algorithms
- natural language processing
- text mining
- statistical methods
- supervised learning
- knowledge representation
- medical data
- imaging modalities
- clinical data
- protein secondary structure prediction
- body mass index
- learning algorithm
- robot assisted
- intensive care
- medical records
- artificial intelligence
- treatment planning
- factors affecting
- text classification
- feature selection
- computer vision