AIMC Topic: Adult

Clear Filters Showing 12301 to 12310 of 15606 articles

Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System.

Computational and mathematical methods in medicine
BACKGROUND: Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for pre...

Totally robotic rectal resection: an experience of the first 100 consecutive cases.

International journal of colorectal disease
INTRODUCTION: Robotic surgery provides an alternative option for a minimal access approach. It provides a stable platform with high definition three-dimensional views and improved access, which enhances the capabilities for precise dissection in a na...

Biomechanical and Physiological Evaluation of Multi-Joint Assistance With Soft Exosuits.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
To understand the effects of soft exosuits on human loaded walking, we developed a reconfigurable multi-joint actuation platform that can provide synchronized forces to the ankle and hip joints. Two different assistive strategies were evaluated on ei...

Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks.

NeuroImage
Identifying diffuse axonal injury (DAI) in patients with traumatic brain injury (TBI) presenting with normal appearing radiological MRI presents a significant challenge. Neuroimaging methods such as diffusion MRI and probabilistic tractography, which...

Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: a preliminary report.

BMC neurology
BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder associated not only with ongoing medical complications but also with a significant loss of mobility and participation. The introduction of robotic technologies to recover lower li...

Diagnosis of Acute Coronary Syndrome with a Support Vector Machine.

Journal of medical systems
Acute coronary syndrome (ACS) is a serious condition arising from an imbalance of supply and demand to meet myocardium's metabolic needs. Patients typically present with retrosternal chest pain radiating to neck and left arm. Electrocardiography (ECG...

Cross-trial prediction of treatment outcome in depression: a machine learning approach.

The lancet. Psychiatry
BACKGROUND: Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empirically validated mechanisms to assess whether a patient with depression will respond to a specific ...

Multiple Linear Regression and Artificial Neural Network to Predict Blood Glucose in Overweight Patients.

Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association
BACKGROUND: Overweight individuals are at higher risk for developing type II diabetes than the general population. We conducted this study to analyze the correlation between blood glucose and biochemical parameters, and developed a blood glucose pred...

Machine learning derived risk prediction of anorexia nervosa.

BMC medical genomics
BACKGROUND: Anorexia nervosa (AN) is a complex psychiatric disease with a moderate to strong genetic contribution. In addition to conventional genome wide association (GWA) studies, researchers have been using machine learning methods in conjunction ...

Online Stability in Human-Robot Cooperation with Admittance Control.

IEEE transactions on haptics
In the design of a compliant admittance controller for physical human-robot interaction, it is necessary to ensure stable and effective cooperation. The stability of the admittance controller is mainly threatened by a stiff environment. Many methods ...