Our medical world is replete with clinical data but this data is rarely automatically exploited for bringing more health to our society. Many researches have been conducted in Medical Data Mining, but almost all of them have focused on diagnosing the diseases not treating the patients. In this paper we propose the Causality-based Medical Diagnosis and Treatment System, which can be used to diag...

Our medical world is replete with clinical data but this data is rarely automatically exploited for bringing more health to our society. Many researches have been conducted in Medical Data Mining, but almost all of them have focused on diagnosing the diseases not treating the patients. In this paper we propose the Causality-based Medical Diagnosis and Treatment System, which can be used to diag...

currently, different highly sensitive nucleic acid detection-based protocols used in medical diagnostic laboratories need specific working conditions, and if no optimization is performed, misleading results can be obtained. limitations of each protocol is different in obtaining an appropriate result. awareness of these limitations plays an important role in providing a reliable result for physi...

a sensitive monitoring of biological analytes, such as biomolecules (protein, lipid, dna and rna), and biological cells (blood cell, virus and bacteria), is essential to assess and avoid risks for human health. nanobiosensors, analytical devices that combine a biologically sensitive element with a nanostructured transducer, are being widely used for molecular detection of biomarkers associated ...

In this paper, we propose a novel cooperative heterogeneous medical diagnosis system composed from humans and artificial agents specialized in medical diagnosis and assistant agents. The cooperative problem solving by the proposed diagnosis system combine the human and artificial systems advantages in the medical diagnosis problems solving. 2000 Mathematics Subject Classification: Artificial In...

data about the prevalence of communicable and non-communicable diseases, as one of the most important categories of epidemiological data, is used for interpreting health status of communities. this study aims to calculate the prevalence of outpatient diseases through the characterization of outpatient prescriptions. the data used in this study is collected from 1412 prescriptions for various ty...

Due to ever increasing of medical images data in the world’s medical centers and recent developments in hardware and technology of medical imaging, necessity of medical data software analysis is needed. Equipping medical science with intelligent tools in diagnosis and treatment of illnesses has resulted in reduction of physicians’ errors and physical and financial damages. In this article we pr...