AIMC Topic: Aged

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Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Human brain mapping Feb 9, 2015
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying ...
Humans Brain Female Aged Male Diffusion Tensor Imaging Area Under Curve Alzheimer Disease Pattern Recognition, Automated Rest Gray Matter Support Vector Machine Magnetic Resonance Imaging Brain Mapping Multimodal Imaging
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Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

BioMed research international Feb 8, 2015
Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectra...
Consciousness Humans Adult Anesthesia Neural Networks, Computer Male Entropy Female Middle Aged Aged Electroencephalography Signal Processing, Computer-Assisted
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Serum tests, liver stiffness and artificial neural networks for diagnosing cirrhosis and portal hypertension.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Feb 7, 2015
BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models for portal hypertension and cirrhosis is not well established.
Aged Male Middle Aged Liver Cirrhosis Liver Esophageal and Gastric Varices Platelet Count Elasticity Imaging Techniques Humans Hypertension, Portal Neural Networks, Computer Algorithms Female
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Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 7, 2015
OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological g...
Time Factors Reproducibility of Results Bayes Theorem Support Vector Machine Aged Gait Humans Muscle, Skeletal Aged, 80 and over Pattern Recognition, Automated Principal Component Analysis Male Nervous System Diseases Neural Networks, Computer Middle Aged Artificial Intelligence Algorithms Female
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Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.

IEEE journal of biomedical and health informatics Feb 6, 2015
The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, to date, no study has assessed the predictive power of phenotypes based on individual anthropometric measurements and triglyceride (TG) levels. The ai...
Risk Factors Aged Aged, 80 and over Adult Cross-Sectional Studies Machine Learning Phenotype Retrospective Studies Female Male Middle Aged Diabetes Mellitus, Type 2 Anthropometry Triglycerides Humans
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Phase information of time-frequency transforms as a key feature for classification of atrial fibrillation episodes.

Physiological measurement Feb 5, 2015
Patients suffering from atrial fibrillation can be classified into different subtypes, according to the temporal pattern of the arrhythmia and its recurrence. Nowadays, clinicians cannot differentiate a priori between the different subtypes, and pati...
Tertiary Care Centers Humans Atrial Fibrillation Aged Fourier Analysis Aged, 80 and over Cardiovascular Agents Adult Electrocardiography Sensitivity and Specificity Support Vector Machine Middle Aged Principal Component Analysis Cohort Studies Area Under Curve ROC Curve Hypertension
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Analyses of a cirrhotic patient's evolution using self organizing mapping and Child-Pugh scoring.

Journal of medical systems Feb 3, 2015
Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Organizing Mapping (SOM) based on the Child-Pugh scoring method. Because Colored Doppler Ultrasound (CDU) has too many parameters, scoring can be a very d...
Humans Middle Aged Liver Cirrhosis Age Factors Sex Factors Ultrasonography, Doppler, Color Neural Networks, Computer Female Aged Adult Male
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Robotic distal subtotal gastrectomy with D2 lymphadenectomy for gastric cancer patients with high body mass index: comparison with conventional laparoscopic distal subtotal gastrectomy with D2 lymphadenectomy.

Surgical endoscopy Jan 29, 2015
BACKGROUND: Minimally invasive surgery (MIS) has emerged as a treatment of choice for early-stage gastric cancer. However, applying MIS to gastric patients with high body mass index (BMI) is technically challenging, especially when performing D2 lymp...
Aged, 80 and over Adult Stomach Neoplasms Male Middle Aged Lymph Nodes Treatment Outcome Humans Body Mass Index Gastrectomy Lymph Node Excision Retrospective Studies Operative Time Female Robotics Aged Neoplasm Staging Laparoscopy
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Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

American journal of obstetrics and gynecology Jan 28, 2015
OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positioning required for pelvic surgery can exacerbate obesity-related changes in respiratory physiology. ...
Genital Diseases, Female Lung Diseases Humans Multivariate Analysis Gynecologic Surgical Procedures Head-Down Tilt Postoperative Complications Retrospective Studies Comorbidity Logistic Models Female Obesity Aged Robotics Adult Middle Aged
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Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jan 28, 2015
BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).
Image Interpretation, Computer-Assisted Humans Machine Learning Male Image Enhancement Cognitive Dysfunction Diffusion Tensor Imaging Algorithms Multimodal Imaging Prodromal Symptoms Reproducibility of Results Alzheimer Disease Aged Sensitivity and Specificity
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