AIMC Topic: Outcome Assessment, Health Care

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Variable Selection for Confounder Control, Flexible Modeling and Collaborative Targeted Minimum Loss-Based Estimation in Causal Inference.

The international journal of biostatistics May 1, 2016
This paper investigates the appropriateness of the integration of flexible propensity score modeling (nonparametric or machine learning approaches) in semiparametric models for the estimation of a causal quantity, such as the mean outcome under treat...
Models, Theoretical Data Interpretation, Statistical Outcome Assessment, Health Care Humans Machine Learning
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Kinematic measures for upper limb motor assessment during robot-mediated training in patients with severe sub-acute stroke.

Restorative neurology and neuroscience Jan 1, 2016
PURPOSE: Kinematic assessments are increasingly used as motor outcome measures during upper limb robot-assisted training, in addition to clinical scales. However, their relevance has not been evaluated much.
Retrospective Studies Female Humans Young Adult Adult Biomechanical Phenomena Aged Aged, 80 and over Upper Extremity Stroke Rehabilitation Brain Ischemia Statistics as Topic Robotics Stroke Outcome Assessment, Health Care Psychomotor Performance Severity of Illness Index Male Recovery of Function Middle Aged
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Obesity is not associated with increased operative complications in single-site robotic partial nephrectomy.

Yonsei medical journal Mar 1, 2015
PURPOSE: To evaluate the impact of high body mass index (BMI) on outcomes following robotic laparoendoscopic single-site surgery (R-LESS) robotic-assisted laparoscopic partial nephrectomy (RPN).
Warm Ischemia Robotic Surgical Procedures Humans Outcome Assessment, Health Care Retrospective Studies Kidney Neoplasms Nephrectomy Robotics Operative Time Adult Laparoscopy Middle Aged Obesity Body Mass Index Republic of Korea Treatment Outcome Postoperative Complications Blood Transfusion Male Female
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Neural network models - a novel tool for predicting the efficacy of growth hormone (GH) therapy in children with short stature.

Neuro endocrinology letters Jan 1, 2015
INTRODUCTION: The leading method for prediction of growth hormone (GH) therapy effectiveness are multiple linear regression (MLR) models. Best of our knowledge, we are the first to apply artificial neural networks (ANN) to solve this problem. For ANN...
Dwarfism Growth Hormone Adolescent Female Humans Outcome Assessment, Health Care Child Neural Networks, Computer Human Growth Hormone Body Height Recombinant Proteins Male
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Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.

Studies in health technology and informatics Jan 1, 2015
Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using ...
Likelihood Functions Effect Modifier, Epidemiologic Data Mining Algorithms Outcome Assessment, Health Care Natural Language Processing Humans Electronic Health Records Machine Learning Data Interpretation, Statistical Decision Support Systems, Clinical
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