AIMC Topic: Diabetes Mellitus

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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.

Journal of Korean medical science Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Body Mass Index Cervix Uteri Area Under Curve Placenta Gestational Age ROC Curve Logistic Models Hypertension Diabetes Mellitus Humans Obstetric Labor, Premature Neural Networks, Computer Pregnancy Female Infant, Newborn Premature Birth Risk Factors Adult
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On building a diabetes centric knowledge base via mining the web.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Diabetes has become one of the hot topics in life science researches. To support the analytical procedures, researchers and analysts expend a mass of labor cost to collect experimental data, which is also error-prone. To reduce the cost a...
Diabetes Mellitus Internet Knowledge Bases Data Mining Information Storage and Retrieval Humans Algorithms Electronic Health Records China
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Humans Machine Learning Algorithms Databases, Factual Female Length of Stay Hospital Mortality United States Hypertension Diabetes Mellitus Risk Factors Cross-Sectional Studies Male Middle Aged Postoperative Complications Open Fracture Reduction Heart Failure Anemia Age Factors Renal Insufficiency Fracture Fixation, Internal Ankle Fractures Lung Diseases Medicaid Medicare
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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one Feb 22, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...
Data Mining Physicians, Primary Care California Computer Security Demography Health Literacy Electronic Mail Female Male Diabetes Mellitus Natural Language Processing Physician-Patient Relations Humans Machine Learning
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Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.

Clinical neurology and neurosurgery Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Radiation Dosage Radiosurgery Trigeminal Neuralgia Kaplan-Meier Estimate Middle Aged Aged Depression Aged, 80 and over Humans Adolescent Young Adult Treatment Outcome Adult Male Diabetes Mellitus Neural Networks, Computer Follow-Up Studies Prognosis Predictive Value of Tests Female Pain Measurement Risk Factors Neurosurgical Procedures
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Identification of Diabetic Patients through Clinical and Para-Clinical Features in Mexico: An Approach Using Deep Neural Networks.

International journal of environmental research and public health Jan 29, 2019
Diabetes is a chronic and noncommunicable but preventable disease that is affecting the Mexican population at worrying levels, being the first place in prevalence worldwide. Early diabetes detection has become important to prevent other health condit...
Humans Area Under Curve Neural Networks, Computer Early Diagnosis ROC Curve Female Models, Theoretical Adult Diabetes Mellitus Male Mexico Middle Aged Health Status
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A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection.

Journal of medical systems Jan 10, 2019
Advances in the medical industry has become a major trend because of the new developments in information technologies. This research offers a novel approach for estimating the smart medical devices (SMDs) selection process in a group decision making ...
Humans Decision Support Techniques Wearable Electronic Devices Diabetes Mellitus Fuzzy Logic Decision Making Blood Glucose Self-Monitoring
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Versatility of fuzzy logic in chronic diseases: A review.

Medical hypotheses Nov 27, 2018
The review aims at providing current state of evidence in the field of medicine with fuzzy logic for diagnosing diseases. Literature reveals that fuzzy logic has been used effectively in medicine. Different types of methodologies have been applied to...
Diabetes Mellitus Fuzzy Logic Chronic Disease Biopsy Normal Distribution Humans Celiac Disease Neural Networks, Computer Software Algorithms
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Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.

Journal of medical systems Nov 15, 2018
Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic index varies in the human of improper diet and eating pattern such as junk foods, variation in the quantity of food, swallowing of food without chewing an...
Micro-Electrical-Mechanical Systems Mastication Blood Glucose Diabetes Mellitus Humans Saliva Algorithms Glycemic Index Deep Learning Deglutition
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Prevalence of Diabetic Retinopathy and Associated Mortality Among Diabetic Adults With and Without Chronic Kidney Disease.

American journal of ophthalmology Oct 25, 2018
PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with diabetes and with or without chronic kidney disease (CKD), and assess associated risk of mortality.
Nutrition Surveys United States Renal Insufficiency, Chronic Glomerular Filtration Rate Diabetes Mellitus Humans Aged Blood Pressure Diabetic Retinopathy Cross-Sectional Studies Albuminuria Female Male Glycated Hemoglobin Risk Factors Middle Aged Creatinine Prevalence
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