AIMC Topic: Outcome Assessment, Health Care
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Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.
World neurosurgery
Oct 3, 2017
OBJECTIVE: Accurate measurement of surgical outcomes is highly desirable to optimize surgical decision-making. An important element of surgical decision making is identification of the patient cohort that will benefit from surgery before the interven...
Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.
International journal of methods in psychiatric research
Jul 28, 2017
BACKGROUND: There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse ...
Precision Medicine: Genomic Profiles to Individualize Therapy.
Otolaryngologic clinics of North America
May 17, 2017
Precision medicine is the application of genotypic and Omics biomarkers to determine the most appropriate, outcome-driven therapy for individual patients. To determine the best choice of therapy, institutions use significant information technology-en...
Robotic gait training in multiple sclerosis rehabilitation: Can virtual reality make the difference? Findings from a randomized controlled trial.
Journal of the neurological sciences
Mar 29, 2017
Gait, coordination, and balance may be severely compromised in patients with multiple sclerosis (MS), with considerable consequences on the patient's daily living activities, psychological status and quality of life. For this reason, MS patients may ...
Robotic-assisted gait training in Parkinson's disease: a three-month follow-up randomized clinical trial.
The International journal of neuroscience
Feb 13, 2017
PURPOSE: The aim of this study was to evaluate the efficacy of a robotic-assisted gait training (RAGT), together with a conventional exercise program (CEP), to improve PD ambulation, as compared to standard gait training.
Improving therapeutic outcomes in autism spectrum disorders: Enhancing social communication and sensory processing through the use of interactive robots.
Journal of psychiatric research
Feb 7, 2017
For children with autism spectrum disorders (ASDs), social robots are increasingly utilized as therapeutic tools in order to enhance social skills and communication. Robots have been shown to generate a number of social and behavioral benefits in chi...
Comparison of the effects on dynamic balance and aerobic capacity between objective and subjective methods of high-intensity robot-assisted gait training in chronic stroke patients: a randomized controlled trial.
Topics in stroke rehabilitation
Jan 19, 2017
BACKGROUND: Robot-assisted gait training (RAGT) is effective for improving dynamic balance and aerobic capacity, but previous RAGT method does not set suitable training intensity. Recently, high-intensity treadmill gait training at 70% of heart rate ...
Construction of longitudinal prediction targets using semisupervised learning.
Statistical methods in medical research
Jan 8, 2017
In establishing prognostic models, often aided by machine learning methods, much effort is concentrated in identifying good predictors. However, the same level of rigor is often absent in improving the outcome side of the models. In this study, we fo...
An expert system for selecting wart treatment method.
Computers in biology and medicine
Jan 6, 2017
As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV) and may grow on all parts of body, especially hands and feet. There are several treatment methods for this illness. However, none of them can heal all patients. Cons...
Expert Systems
Therapy, Computer-Assisted
Cryotherapy
Warts
Treatment Outcome
Prognosis
Patient Selection
Clinical Decision-Making
Outcome Assessment, Health Care
Middle Aged
Female
Young Adult
Humans
Adolescent
Reproducibility of Results
Adult
Decision Support Systems, Clinical
Machine Learning
Sensitivity and Specificity
Algorithms
Immunotherapy
Male
The effectiveness of robotic-assisted gait training for paediatric gait disorders: systematic review.
Journal of neuroengineering and rehabilitation
Jan 5, 2017
BACKGROUND: Robotic-assisted gait training (RAGT) affords an opportunity to increase walking practice with mechanical assistance from robotic devices, rather than therapists, where the child may not be able to generate a sufficient or correct motion ...
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