AIMC Topic: Outcome Assessment, Health Care
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Reliability, validity and discriminant ability of the instrumental indices provided by a novel planar robotic device for upper limb rehabilitation.
Journal of neuroengineering and rehabilitation
May 16, 2018
BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devices to objectively quantify motor performance of patients after brain damage. Although these robot-derived measures can potentially add meaningful info...
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network.
BMC medical research methodology
Feb 26, 2018
BACKGROUND: Medical practitioners use survival models to explore and understand the relationships between patients' covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the ...
GWAS-based machine learning approach to predict duloxetine response in major depressive disorder.
Journal of psychiatric research
Feb 2, 2018
Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. Machine learning (ML) models may be ...
The Effect of Lenalidomide on Health-Related Quality of Life in Patients With Lower-Risk Non-del(5q) Myelodysplastic Syndromes: Results From the MDS-005 Study.
Clinical lymphoma, myeloma & leukemia
Dec 30, 2017
BACKGROUND: The phase III MDS-005 study compared lenalidomide versus placebo in red blood cell transfusion-dependent (RBC-TD) patients with lower-risk non-del(5q) myelodysplastic syndromes (MDS), ineligible/refractory to erythropoiesis-stimulating ag...
Improved perioperative outcomes of laparoscopic distal pancreatosplenectomy: modified lasso technique.
ANZ journal of surgery
Dec 20, 2017
BACKGROUND: Simultaneous division of the splenic artery, splenic vein and pancreatic parenchyma during laparoscopic distal pancreatosplenectomy (LDPS) is known as the lasso technique, which is considered to be simple to perform. However, the original...
Pancreatic Fistula
Aged, 80 and over
Perioperative Period
Adult
Laparoscopy
Splenectomy
Male
Humans
Outcome Assessment, Health Care
Middle Aged
Retrospective Studies
Pancreas
Postoperative Complications
Length of Stay
Female
Pancreatectomy
Incidence
Aged
Spleen
Blood Loss, Surgical
Operative Time
Pancreatic Neoplasms
Collaborative targeted learning using regression shrinkage.
Statistics in medicine
Nov 2, 2017
Causal inference practitioners are routinely presented with the challenge of model selection and, in particular, reducing the size of the covariate set with the goal of improving estimation efficiency. Collaborative targeted minimum loss-based estima...
Walking speed is not the best outcome to evaluate the effect of robotic assisted gait training in people with motor incomplete Spinal Cord Injury: A Systematic Review with meta-analysis.
The journal of spinal cord medicine
Oct 25, 2017
CONTEXT: While there are previous systematic reviews on the effectiveness of the use of robotic-assisted gait training (RAGT) in people with spinal cord injuries (SCI), as this is a dynamic field, new studies have been produced that are now incorpora...
Home-based hand rehabilitation with a robotic glove in hemiplegic patients after stroke: a pilot feasibility study.
Topics in stroke rehabilitation
Oct 16, 2017
OBJECTIVE: To evaluate the feasibility and safety of home rehabilitation of the hand using a robotic glove, and, in addition, its effectiveness, in hemiplegic patients after stroke.
Accuracy of S2 Alar-Iliac Screw Placement Under Robotic Guidance.
Spine deformity
Oct 16, 2017
STUDY DESIGN: Case series.
Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.
International journal of medical informatics
Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
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