AIMC Topic: Risk Factors

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An expert system design to diagnose cancer by using a new method reduced rule base.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: A Medical Expert System (MES) was developed which uses Reduced Rule Base to diagnose cancer risk according to the symptoms in an individual. A total of 13 symptoms were used. With the new MES, the reduced rules are controll...

A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.

Scientific reports
Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screening is complicated by the fact that the accuracy of noninvasive testing lacks specificity and sensitivity to make and stage the diagnosis. Currently n...

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.

Journal of medical Internet research
BACKGROUND: As a high-prevalence health condition, hypertension is clinically costly, difficult to manage, and often leads to severe and life-threatening diseases such as cardiovascular disease (CVD) and stroke.

Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Interdisciplinary sciences, computational life sciences
Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-predicting model for EH can help to interpose people's lifestyle and dietary habit to decrease the risk of getting EH. In this study, we constructed a EH...

Artificial intelligence on the identification of risk groups for osteoporosis, a general review.

Biomedical engineering online
INTRODUCTION: The goal of this paper is to present a critical review on the main systems that use artificial intelligence to identify groups at risk for osteoporosis or fractures. The systems considered for this study were those that fulfilled the fo...

Comparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes.

Iranian biomedical journal
BACKGROUND: Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to i...

B-type Natriuretic Peptide and Other Risk Factors for Predicting Postoperative Atrial Fibrillation after Thoracic Surgery.

The Thoracic and cardiovascular surgeon
BACKGROUND: Postoperative atrial fibrillation (POAF) is associated with increased morality rate, prolonged hospitalization, and reduced long-term survival after surgery. Thus, prediction of POAF is important to assess surgical risk and provide prophy...

Prediction models to identify individuals at risk of metabolic syndrome who are unlikely to participate in a health intervention program.

International journal of medical informatics
OBJECTIVES: Since the launch of a nationwide general health check-up and instruction program in Japan in 2008, interest in strategies to improve implementation of the program based on predictive analytics has grown. We investigated the performance of...

The Effect of Lenalidomide on Health-Related Quality of Life in Patients With Lower-Risk Non-del(5q) Myelodysplastic Syndromes: Results From the MDS-005 Study.

Clinical lymphoma, myeloma & leukemia
BACKGROUND: The phase III MDS-005 study compared lenalidomide versus placebo in red blood cell transfusion-dependent (RBC-TD) patients with lower-risk non-del(5q) myelodysplastic syndromes (MDS), ineligible/refractory to erythropoiesis-stimulating ag...