AIMC Topic: Diabetes Mellitus, Type 2

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A Hybrid Protocol for Identifying Comorbidity-Based Potential Drugs for COVID-19 Using Biomedical Literature Mining, Network Analysis, and Deep Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) has spread on an unprecedented scale around the globe. Despite of 141,975 published papers on COVID-19 and several hundreds of new studies carri...
Deep Learning Diabetes Mellitus, Type 2 RNA, Viral Data Mining COVID-19 Drug Treatment Humans COVID-19 SARS-CoV-2 Comorbidity
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Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India.

The Journal of nutrition Oct 23, 2021
BACKGROUND: The prevalence of type 2 diabetes has increased substantially in India over the past 3 decades. Undiagnosed diabetes presents a public health challenge, especially in rural areas, where access to laboratory testing for diagnosis may not b...
India Rural Population Mass Screening Models, Statistical Diet, Healthy Adolescent Fasting Blood Glucose Diabetes Mellitus, Type 2 Algorithms Female Aged Aged, 80 and over Young Adult Prediabetic State Adult Cross-Sectional Studies Male Middle Aged Diet Humans Machine Learning
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Hypertension Kidney Function Tests Age Factors Lipoproteins Predictive Value of Tests Risk Assessment Adolescent ROC Curve Diabetes Mellitus, Type 2 Clinical Decision Rules Ischemic Stroke Factor Analysis, Statistical Area Under Curve Smoking Alcohol Drinking Humans Neural Networks, Computer Acute Kidney Injury Female Risk Factors Young Adult Adult Male Middle Aged
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Precision population analytics: population management at the point-of-care.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: To present clinicians at the point-of-care with real-world data on the effectiveness of various treatment options in a precision cohort of patients closely matched to the index patient.
Humans Machine Learning Electronic Health Records Diabetes Mellitus, Type 2 Evidence-Based Medicine Decision Making, Computer-Assisted Patient Care Management Hypertension Treatment Outcome Hyperlipidemias Practice Guidelines as Topic
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Bariatric surgery and hemodialysis: A case report of a patient with less 40 kilograms and without dialysis.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia Jan 1, 2021
Obesity is an important risk factor for chronic kidney disease. Bariatric surgery (BS) may improve long-term kidney outcomes, but there is no agreement regarding the benefit and timing of BS in patients with end-stage renal disease. We present a 46-y...
Gastric Bypass Renal Dialysis Humans Obesity, Morbid Diabetes Mellitus, Type 2 Retrospective Studies Treatment Outcome Male Body Mass Index Middle Aged Bariatric Surgery
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Analysis of Risk Factors in Dementia Through Machine Learning.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiabl...
Neurocognitive Disorders Hypertension Alzheimer Disease Tobacco Use Cognitive Reserve Risk Factors Aged Aged, 80 and over Sensitivity and Specificity Male Exercise Case-Control Studies Depression Diabetes Mellitus, Type 2 Socioeconomic Factors Humans Machine Learning Algorithms Female
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A Review of Statistical and Machine Learning Techniques for Microvascular Complications in Type 2 Diabetes.

Current diabetes reviews Jan 1, 2021
UNLABELLED: Background and Introduction: Diabetes mellitus is a metabolic disorder that has emerged as a serious public health issue worldwide. According to the World Health Organization (WHO), without interventions, the number of diabetic incidences...
Humans Artificial Intelligence Machine Learning Diabetes Mellitus, Type 2
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PheMap: a multi-resource knowledge base for high-throughput phenotyping within electronic health records.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2020
OBJECTIVE: Developing algorithms to extract phenotypes from electronic health records (EHRs) can be challenging and time-consuming. We developed PheMap, a high-throughput phenotyping approach that leverages multiple independent, online resources to s...
Humans Algorithms Phenotype Electronic Health Records Adult Dementia Genome-Wide Association Study Diabetes Mellitus, Type 2 Polymorphism, Single Nucleotide Terminology as Topic Hypothyroidism Natural Language Processing Knowledge Bases Information Storage and Retrieval
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Cost-effectiveness of Autonomous Point-of-Care Diabetic Retinopathy Screening for Pediatric Patients With Diabetes.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Screening for diabetic retinopathy is recommended for children with type 1 diabetes (T1D) and type 2 diabetes (T2D), yet screening rates remain low. Point-of-care diabetic retinopathy screening using autonomous artificial intelligence (AI...
Cost-Benefit Analysis Humans Diabetic Retinopathy Artificial Intelligence Retrospective Studies Adolescent Child Diabetes Mellitus, Type 2 Diabetes Mellitus, Type 1 Mass Screening Female Young Adult Male Point-of-Care Systems
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Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

Pakistan journal of pharmaceutical sciences Sep 1, 2020
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 ...
Cross-Sectional Studies Humans Male Artificial Intelligence Neural Networks, Computer Middle Aged Algorithms Risk Assessment Restless Legs Syndrome Aged Decision Support Techniques Prevalence Adolescent Aged, 80 and over Female Incidence Young Adult Risk Factors Diabetes Mellitus, Type 2 Adult Predictive Value of Tests Pakistan
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