AIMC Topic: Risk Factors

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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...
Postoperative Complications Disease Progression Time Factors ROC Curve Logistic Models Treatment Outcome Adult Leukemia, Myeloid, Acute Male Middle Aged Risk Assessment Disease-Free Survival Data Mining Hematopoietic Stem Cell Transplantation Transplantation, Homologous Precursor Cell Lymphoblastic Leukemia-Lymphoma Kaplan-Meier Estimate Europe Decision Trees Predictive Value of Tests Area Under Curve Registries Humans Machine Learning Algorithms Decision Support Techniques Retrospective Studies Female Reproducibility of Results Risk Factors
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Association between inflammation biomarkers, anatomic extent of deep venous thrombosis, and venous symptoms after deep venous thrombosis.

Journal of vascular surgery. Venous and lymphatic disorders Aug 1, 2015
OBJECTIVE: Inflammation may play a role in pathogenesis of venous thromboembolism, but the nature of this relationship is not yet understood. The objective of this study was to assess whether inflammation marker levels measured at diagnosis of deep v...
Postthrombotic Syndrome Middle Aged Stockings, Compression Inflammation Humans Venous Thrombosis Interleukin-6 C-Reactive Protein Biomarkers Thrombosis Risk Factors Male
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Computational Discrimination of Breast Cancer for Korean Women Based on Epidemiologic Data Only.

Journal of Korean medical science Jul 15, 2015
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Ca...
Humans Machine Learning Republic of Korea Female Reproducibility of Results Early Detection of Cancer Pattern Recognition, Automated Women's Health Breast Neoplasms Middle Aged Risk Assessment Prevalence Diagnosis, Computer-Assisted Risk Factors Aged Aged, 80 and over Adult Sensitivity and Specificity
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Applying artificial neural networks to predict communication risks in the emergency department.

Journal of advanced nursing May 25, 2015
AIMS: To describe the utility of artificial neural networks in predicting communication risks.
Humans Neural Networks, Computer Italy Male Female Middle Aged Risk Factors Clinical Competence Aged ROC Curve Adult Emergency Nursing Communication Emergency Service, Hospital
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Continence outcomes of robot-assisted radical prostatectomy in patients with adverse urinary continence risk factors.

BJU international May 11, 2015
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence recovery factors such as enlarged prostates, elderly patients, higher body mass index (BMI), salvage ...
Body Mass Index Age Factors Obesity Recovery of Function Organ Size Robotics Humans Risk Factors Male Risk Assessment Treatment Outcome Directive Counseling Prostatic Neoplasms Patient Selection Salvage Therapy Prostatectomy Urinary Incontinence
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Aortic Aneurysm, Abdominal Area Under Curve Shock Multivariate Analysis Odds Ratio Humans Blood Vessel Prosthesis Implantation ROC Curve Neural Networks, Computer Endovascular Procedures Male Logistic Models Algorithms Tennessee Databases, Factual Treatment Outcome Decision Support Techniques Heart Arrest Middle Aged Retrospective Studies Unconsciousness Risk Assessment Age Factors Female Aortic Rupture Time Factors Predictive Value of Tests Risk Factors Hospital Mortality Aged Aged, 80 and over
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Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset.

PloS one May 4, 2015
For years, we have relied on population surveys to keep track of regional public health statistics, including the prevalence of non-communicable diseases. Because of the cost and limitations of such surveys, we often do not have the up-to-date data o...
Humans Databases as Topic Demography Machine Learning Risk Factors Reproducibility of Results Behavior Public Health Prevalence Surveys and Questionnaires United States Population Surveillance
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Applying a novel combination of techniques to develop a predictive model for diabetes complications.

PloS one Apr 22, 2015
Among the many related issues of diabetes management, its complications constitute the main part of the heavy burden of this disease. The aim of this paper is to develop a risk advisor model to predict the chances of diabetes complications according ...
Algorithms Risk Factors Risk Assessment Models, Theoretical Regression Analysis Humans Predictive Value of Tests Neural Networks, Computer Bayes Theorem Diabetes Complications
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Bridging a translational gap: using machine learning to improve the prediction of PTSD.

BMC psychiatry Mar 16, 2015
BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted prevention. Current research has identified group-level risk-indicators, many of which (e.g., head trauma, receiving opiates) concern but a subset of survivor...
Early Diagnosis Algorithms Adaptation, Psychological Wounds and Injuries Prognosis Female Middle Aged Humans Risk Factors Risk Assessment Artificial Intelligence Adult Stress Disorders, Post-Traumatic Male ROC Curve Translational Research, Biomedical
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A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Mar 3, 2015
BACKGROUND: Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development of a screening program requires considerable and careful effort, where evidence-based decisions have to be taken in order to obtain an effective test w...
Forecasting Prospective Studies Female Risk Factors Adult Sensitivity and Specificity Surveys and Questionnaires Telemedicine Depression, Postpartum Humans Machine Learning
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