AIMC Topic: Disease Progression

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Modified citrus pectin stops progression of liver fibrosis by inhibiting galectin-3 and inducing apoptosis of stellate cells.

Canadian journal of physiology and pharmacology Dec 16, 2015
Modified citrus pectin (MCP) is a pH modified form of the dietary soluble citrus peel fiber known as pectin. The current study aims at testing its effect on liver fibrosis progression. Rats were injected with CCl4 (1 mL/kg, 40% v/v, i.p., twice a wee...
Hepatic Stellate Cells Antioxidants Hydrogen-Ion Concentration Rats, Sprague-Dawley Dietary Fiber Biomarkers Lipid Peroxidation Apoptosis Animals Fruit Dietary Supplements Male Solubility Liver Disease Progression Hot Temperature Galectin 3 Oxidative Stress Citrus Carbon Tetrachloride Pectins Liver Cirrhosis, Experimental
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A context-aware approach for progression tracking of medical concepts in electronic medical records.

Journal of biomedical informatics Sep 30, 2015
Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk factors such as high blood pressure, cholesterol levels, and smoking status. Discovering the described risk factors and tracking their progression ov...
Diabetes Complications Cardiovascular Diseases Middle Aged Confidentiality Risk Assessment Humans Incidence Data Mining Cohort Studies Disease Progression Electronic Health Records Pattern Recognition, Automated Longitudinal Studies Comorbidity Female Computer Security Taiwan Aged Vocabulary, Controlled Narration Male Natural Language Processing
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Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease.

Journal of neuroscience methods Aug 21, 2015
BACKGROUND: The development of MRI based methods could prove extremely valuable for identification of reliable biomarkers to aid diagnosis of neurodegenerative diseases (NDs). A great deal of current research has been aimed at identification biomarke...
Middle Aged Disease Progression Support Vector Machine Magnetic Resonance Imaging Parkinson Disease Diagnosis, Differential Least-Squares Analysis Image Interpretation, Computer-Assisted Humans Early Diagnosis Databases, Factual Brain Adult Sensitivity and Specificity
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Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Aug 3, 2015
PURPOSE: Allogeneic hematopoietic stem-cell transplantation (HSCT) is potentially curative for acute leukemia (AL), but carries considerable risk. Machine learning algorithms, which are part of the data mining (DM) approach, may serve for transplanta...
Risk Factors Adult Leukemia, Myeloid, Acute Male Middle Aged Risk Assessment Algorithms Decision Support Techniques Retrospective Studies Female Reproducibility of Results Treatment Outcome Europe Decision Trees Predictive Value of Tests Area Under Curve Registries Postoperative Complications Disease Progression Time Factors ROC Curve Logistic Models Humans Machine Learning Kaplan-Meier Estimate Disease-Free Survival Data Mining Hematopoietic Stem Cell Transplantation Transplantation, Homologous Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Biometrics Jul 14, 2015
Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although, kernel-based st...
Huntington Disease Longitudinal Studies Models, Statistical Alzheimer Disease Biometry Statistics, Nonparametric Humans Machine Learning Algorithms Computer Simulation Disease Progression Support Vector Machine
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Lack of association between anemia and renal disease progression in Chinese patients with type 2 diabetes.

Journal of diabetes investigation Jun 3, 2015
AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More proof is still awaited on the relationship between anemia and the progression of renal disease in this population.
Male Humans Follow-Up Studies Middle Aged Female Kidney Diseases Disease Progression Aged Asian People China Aged, 80 and over Anemia Diabetes Mellitus, Type 2 Adult Longitudinal Studies
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Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.

The Journal of international medical research May 22, 2015
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doct...
Humans Republic of Korea Female Support Vector Machine Age Factors Middle Aged Biopsy Aged Disease Progression Asian People Young Adult Adolescent Papillomaviridae Adult Child Sensitivity and Specificity Vaginal Smears Uterine Cervical Neoplasms Genotype
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Predicting outcome in clinically isolated syndrome using machine learning.

NeuroImage. Clinical Dec 4, 2014
We aim to determine if machine learning techniques, such as support vector machines (SVMs), can predict the occurrence of a second clinical attack, which leads to the diagnosis of clinically-definite Multiple Sclerosis (CDMS) in patients with a clini...
Image Interpretation, Computer-Assisted Demyelinating Diseases Middle Aged Disease Progression Retrospective Studies Support Vector Machine Female Magnetic Resonance Imaging Young Adult Multiple Sclerosis Humans Adult Sensitivity and Specificity Male
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Using Relevance Feedback to Distinguish the Changes in EEG During Different Absence Seizure Phases.

Clinical EEG and neuroscience Sep 21, 2014
We carried out a series of statistical experiments to explore the utility of using relevance feedback on electroencephalogram (EEG) data to distinguish between different activity states in human absence epilepsy. EEG recordings from 10 patients with ...
Humans Machine Learning Algorithms Female Reproducibility of Results Adolescent Child Diagnosis, Differential Electroencephalography Pattern Recognition, Automated Epilepsy, Absence Young Adult Sensitivity and Specificity Feedback Male Disease Progression Diagnosis, Computer-Assisted
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Artificial neural networks in neurosurgery.

Journal of neurology, neurosurgery, and psychiatry Jul 1, 2014
Artificial neural networks (ANNs) effectively analyze non-linear data sets. The aimed was A review of the relevant published articles that focused on the application of ANNs as a tool for assisting clinical decision-making in neurosurgery. A literatu...
Adult Humans Disease Progression Neural Networks, Computer Neurosurgical Procedures Child Decision Support Techniques Survival Analysis Treatment Outcome Prognosis Central Nervous System Diseases Diagnosis, Differential
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