AIMC Topic: Predictive Value of Tests

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ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BMC medical informatics and decision making Nov 7, 2019
BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better methods are urgently needed. Altho...
Anemia, Hypochromic Middle Aged Thailand Adolescent ROC Curve Cluster Analysis Internet Anemia, Iron-Deficiency beta-Thalassemia Decision Trees Diagnosis, Differential Predictive Value of Tests Retrospective Studies Female Young Adult Adult Male Humans Neural Networks, Computer Machine Learning
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Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

European journal of radiology Nov 6, 2019
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (WHO/ISUP I-II) and high grade (WHO/ISUP III-IV) clear cell renal cell carcinomas (ccRCCs).
Young Adult Adult Male Middle Aged Kidney Predictive Value of Tests Neoplasm Grading Image Interpretation, Computer-Assisted Logistic Models Support Vector Machine Diagnosis, Differential Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Humans Machine Learning Kidney Neoplasms Carcinoma, Renal Cell Algorithms Retrospective Studies
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Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy.

International journal of colorectal disease Nov 6, 2019
INTRODUCTION: Probe-based confocal laser endomicroscopy (pCLE) is a promising modality for classifying polyp histology in vivo, but decision making in real-time is hampered by high-magnification targeting and by the learning curve for image interpret...
Diagnosis, Computer-Assisted Clinical Competence Microscopy, Confocal Predictive Value of Tests Feasibility Studies Image Interpretation, Computer-Assisted Observer Variation Colonic Neoplasms Tumor Burden Colonic Polyps Aged Aged, 80 and over Male Middle Aged Colonoscopy Humans Machine Learning Female Reproducibility of Results
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A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.

BMC medical informatics and decision making Nov 6, 2019
BACKGROUND: Diabetes and cardiovascular disease are two of the main causes of death in the United States. Identifying and predicting these diseases in patients is the first step towards stopping their progression. We evaluate the capabilities of mach...
ROC Curve Logistic Models Nutrition Surveys Diabetes Mellitus Support Vector Machine Machine Learning Electronic Health Records Female Male Cardiovascular Diseases Predictive Value of Tests Humans
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Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Arthritis & rheumatology (Hoboken, N.J.) Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Middle Aged Machine Learning Adalimumab Humans Normal Distribution Regression Analysis Tumor Necrosis Factor-alpha Predictive Value of Tests Severity of Illness Index Female Etanercept Outcome Assessment, Health Care Infliximab Arthritis, Rheumatoid Reproducibility of Results Certolizumab Pegol Antirheumatic Agents Genetic Markers Male Polymorphism, Single Nucleotide Methotrexate Treatment Outcome
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Statistical and machine learning methodology for abdominal aortic aneurysm prediction from ultrasound screenings.

Echocardiography (Mount Kisco, N.Y.) Nov 4, 2019
A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurysm (AAA) is presented. Self-reported height, weight, age, gender, ethnicity, and parameters "Heart Problems," "Hypertension," "High Cholesterol," "Diab...
Prevalence Incidence Risk Factors Ultrasonography Aged Age Distribution United States Follow-Up Studies Aged, 80 and over Humans Sex Distribution Mass Screening Predictive Value of Tests Male Machine Learning Aortic Aneurysm, Abdominal Middle Aged Retrospective Studies Female
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Intravascular ultrasound-based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions.

Atherosclerosis Nov 2, 2019
BACKGROUND AND AIMS: Intravascular ultrasound (IVUS)-derived morphological criteria are poor predictors of the functional significance of intermediate coronary stenosis. IVUS-based supervised machine learning (ML) algorithms were developed to identif...
Fractional Flow Reserve, Myocardial Aged Male Middle Aged Humans Predictive Value of Tests Machine Learning Ultrasonography, Interventional Retrospective Studies Coronary Stenosis Female
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Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial.

JMIR mHealth and uHealth Nov 1, 2019
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-management of diabetes including maintaining a healthy lifestyle is essential for glycemic control and to prevent diabetes complications. Mobile-based health data can p...
Male Middle Aged Deep Learning Pilot Projects Blood Glucose Diabetes Mellitus, Type 2 Humans Forecasting Female Self-Management Predictive Value of Tests
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Evaluation of Machine Learning Algorithms for Predicting Readmission After Acute Myocardial Infarction Using Routinely Collected Clinical Data.

The Canadian journal of cardiology Oct 25, 2019
BACKGROUND: The ability to predict readmission accurately after hospitalization for acute myocardial infarction (AMI) is limited in current statistical models. Machine-learning (ML) methods have shown improved predictive ability in various clinical c...
Time Factors Risk Factors Canada Humans Predictive Value of Tests Machine Learning Hospitalization Myocardial Infarction Algorithms Male Patient Readmission Prognosis Middle Aged Female Risk Assessment
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Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

Drug and alcohol dependence Oct 22, 2019
BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypoth...
ROC Curve Longitudinal Studies Predictive Value of Tests Substance-Related Disorders Humans Psychological Techniques Adult Outcome Assessment, Health Care Machine Learning Female Male Reproducibility of Results Severity of Illness Index Young Adult Adolescent Child
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