AIMC Topic: Middle Aged

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Infliximab trough levels and persistent vs transient antibodies measured early after induction predict long-term clinical remission in patients with inflammatory bowel disease.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Nov 27, 2017
BACKGROUND: The use of therapeutic drug monitoring has been proposed as a useful tool in the management of patients with loss of response to biological therapy in patients with inflammatory bowel disease.
Colitis, Ulcerative Drug Monitoring Adult Antibodies Male Gastrointestinal Agents Infliximab Middle Aged Humans Remission Induction Crohn Disease Time Factors Prospective Studies Drug Resistance ROC Curve Female Aged Young Adult
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Long-term clinical impact of serum albumin in coronary artery disease patients with preserved renal function.

Nutrition, metabolism, and cardiovascular diseases : NMCD Nov 26, 2017
BACKGROUND AND AIMS: Low serum albumin level is reportedly associated with worse clinical outcomes in patients with chronic kidney disease (CKD). However, associations between decreased serum albumin level and outcomes in non-CKD patients with corona...
Middle Aged Risk Assessment Time Factors Kidney Treatment Outcome Glomerular Filtration Rate Percutaneous Coronary Intervention Coronary Artery Disease Hypoalbuminemia Serum Albumin, Human Retrospective Studies Female Risk Factors Aged Male Humans Biomarkers
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Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.

Medical image analysis Nov 26, 2017
In patients with coronary artery stenoses of intermediate severity, the functional significance needs to be determined. Fractional flow reserve (FFR) measurement, performed during invasive coronary angiography (ICA), is most often used in clinical pr...
Computed Tomography Angiography Coronary Stenosis Cardiac-Gated Imaging Techniques Deep Learning Contrast Media Coronary Angiography Heart Ventricles Iohexol Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Humans Algorithms
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Classification of hospital admissions into emergency and elective care: a machine learning approach.

Health care management science Nov 25, 2017
Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate urgent admissions from non-urgent or even elective admissions is crucial. We aim to develop a model f...
Child, Preschool Child Age Factors Emergency Medical Services Emergency Service, Hospital Young Adult Adult Middle Aged Infant Adolescent Elective Surgical Procedures Patient Admission Humans Machine Learning Algorithms Infant, Newborn Hospitalization Aged Aged, 80 and over
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Comparative Study Between Conventional Fasting Versus Overnight Infusion of Lipid or Carbohydrate on Insulin and Free Fatty Acids in Obese Patients Undergoing Elective On-pump Coronary Artery Bypass Grafting. A Prospective Randomized Trial.

Journal of cardiothoracic and vascular anesthesia Nov 24, 2017
OBJECTIVES: Postoperative insulin resistance represents a major component of postoperative metabolic disorder. The authors compared the effects of preoperative infusion of lipid emulsion or carbohydrate to conventional preoperative fasting on postope...
Fatty Acids, Nonesterified Humans Coronary Artery Bypass Prospective Studies Fat Emulsions, Intravenous Female Aged Adult Male Insulin Middle Aged Fasting Obesity Double-Blind Method Elective Surgical Procedures Carbohydrates
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Glioma Survival Prediction with Combined Analysis of In Vivo C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Nov 24, 2017
Gliomas are the most common type of tumor in the brain. Although the definite diagnosis is routinely made ex vivo by histopathologic and molecular examination, diagnostic work-up of patients with suspected glioma is mainly done using MRI. Nevertheles...
Female Brain Neoplasms Male Middle Aged Image Processing, Computer-Assisted Humans Prognosis Retrospective Studies Glioma Supervised Machine Learning Positron-Emission Tomography Survival Analysis Methionine
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Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.

IEEE/ACM transactions on computational biology and bioinformatics Nov 23, 2017
Computerized healthcare has undergone rapid development thanks to the advances in medical imaging and machine learning technologies. Especially, recent progress on deep learning opens a new era for multimedia based clinical decision support. In this ...
Alzheimer Disease Male Middle Aged Image Interpretation, Computer-Assisted Humans Deep Learning Brain Early Diagnosis Magnetic Resonance Imaging Female Brain Mapping Aged Aged, 80 and over
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Evaluation of three machine learning models for self-referral decision support on low back pain in primary care.

International journal of medical informatics Nov 23, 2017
BACKGROUND: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the righ...
Humans Referral and Consultation Middle Aged Machine Learning Low Back Pain Female Adolescent Aged Primary Health Care Young Adult Decision Making Adult Chronic Disease Male
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Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm.

Cancer medicine Nov 23, 2017
Many breast cancer (BC) patients treated with aromatase inhibitors (AIs) develop aromatase inhibitor-related arthralgia (AIA). Candidate gene studies to identify AIA risk are limited in scope. We evaluated the potential of a novel analytic algorithm ...
Middle Aged Neoplasm Staging Humans Case-Control Studies Aromatase Inhibitors Machine Learning Genomics Arthralgia Prognosis Genetic Predisposition to Disease Antineoplastic Agents, Hormonal Female Polymorphism, Single Nucleotide Germ-Line Mutation Breast Neoplasms
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Residual Convolutional Neural Network for the Determination of Status in Low- and High-Grade Gliomas from MR Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 22, 2017
Isocitrate dehydrogenase () mutations in glioma patients confer longer survival and may guide treatment decision making. We aimed to predict the status of gliomas from MR imaging by applying a residual convolutional neural network to preoperative r...
Aged Aged, 80 and over Young Adult Adult Brain Neoplasms Humans Neural Networks, Computer Brain Predictive Value of Tests Retrospective Studies Female Neoplasm Grading Male Mutation Datasets as Topic Middle Aged Preoperative Period Image Processing, Computer-Assisted Isocitrate Dehydrogenase Glioma Magnetic Resonance Imaging
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