AIMC Topic: Risk Assessment

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Fuzzy risk assessment for mechanized underground coal mines in Turkey.

International journal of occupational safety and ergonomics : JOSE Apr 11, 2018
The decision matrix method is preferred as a measure of risk evaluation considering the risk value obtained by two risk factors such as the likelihood and severity of a hazard. However, it has some deficiencies since a crisp risk score is assigned fo...
Fuzzy Logic Safety Management Turkey Occupational Health Coal Mining Humans Algorithms Risk Factors Risk Assessment
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Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.

The Journal of surgical research Apr 11, 2018
BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostom...
Severity of Illness Index Databases, Factual Supervised Machine Learning Length of Stay Critical Illness Patient Selection Intensive Care Units Time Factors Critical Care Risk Assessment Humans Treatment Outcome Tracheostomy Respiration, Artificial Decision Support Techniques Feasibility Studies
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Bimodal fuzzy analytic hierarchy process (BFAHP) for coronary heart disease risk assessment.

Journal of biomedical informatics Apr 4, 2018
Rooted deeply in medical multiple criteria decision-making (MCDM), risk assessment is very important especially when applied to the risk of being affected by deadly diseases such as coronary heart disease (CHD). CHD risk assessment is a stochastic, u...
Risk Assessment Diagnosis, Computer-Assisted Fuzzy Logic Bayes Theorem Coronary Disease Computer Simulation Clinical Decision-Making Female Risk Factors Male Uncertainty Humans
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Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Mar 20, 2018
BACKGROUND AND PURPOSE: Current prognostic models for soft tissue sarcoma (STS) patients are solely based on staging information. Treatment-related data have not been included to date. Including such information, however, could help to improve these ...
Middle Aged Risk Assessment Disease Progression Cohort Studies Neoadjuvant Therapy Neoplasm Staging Sarcoma Proportional Hazards Models Aged Aged, 80 and over Adult Survival Rate Male Machine Learning Prognosis Retrospective Studies Female Humans
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Design and validation of an ontology-driven animal-free testing strategy for developmental neurotoxicity testing.

Toxicology and applied pharmacology Mar 13, 2018
Developmental neurotoxicity entails one of the most complex areas in toxicology. Animal studies provide only limited information as to human relevance. A multitude of alternative models have been developed over the years, providing insights into mech...
Neurons Biological Ontologies Toxicology Models, Animal Toxicity Tests Brain Reproducibility of Results Animals Risk Assessment Signal Transduction Animal Testing Alternatives Neurogenesis Neurotoxicity Syndromes Humans Cells, Cultured
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Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.

Epidemiology and health Mar 10, 2018
OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model.
Mass Screening Models, Statistical Age Distribution Glycated Hemoglobin Adult Iran Humans Male Neural Networks, Computer Waist Circumference Middle Aged Female Risk Assessment Risk Factors Diabetes Mellitus, Type 2
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Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Mar 4, 2018
OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11-13 weeks' gestation using computational intelligence classification methods.
Pregnancy Female Sensitivity and Specificity Risk Assessment Pregnancy Trimester, First Humans Artificial Intelligence Down Syndrome Prenatal Diagnosis
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Predicting central line-associated bloodstream infections and mortality using supervised machine learning.

Journal of critical care Feb 21, 2018
PURPOSE: The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
Bacteremia Logistic Models Predictive Value of Tests Central Venous Catheters Catheter-Related Infections Male Middle Aged Risk Assessment Humans Supervised Machine Learning Hospital Mortality Databases, Factual Florida Intensive Care Units Simplified Acute Physiology Score Female
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Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Reference Values Catheter Ablation Recurrence Statistics, Nonparametric Tricuspid Valve Cardiac Catheters Atrial Flutter Robotics Equipment Design Surgery, Computer-Assisted Patient Selection Female Heart Conduction System Risk Assessment Aged Severity of Illness Index Survival Rate Treatment Outcome Male Follow-Up Studies Middle Aged Humans Prospective Studies
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Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.

Clinical pharmacology and therapeutics Feb 2, 2018
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional ...
Humans Machine Learning Computer Simulation Predictive Value of Tests HCT116 Cells Mutation, Missense Structure-Activity Relationship HEK293 Cells Risk Assessment Dihydrouracil Dehydrogenase (NADP) Models, Molecular Gene Frequency Pharmacogenetics Pharmacogenomic Testing Fluorouracil Protein Conformation Genotype Pharmacogenomic Variants Inhibitory Concentration 50 Antimetabolites, Antineoplastic Dose-Response Relationship, Drug Cell Survival
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