Modeling Stroke Diagnosis with the Use of Intelligent Techniques

The purpose of this work is to test the efficiency of specific intelligent classification algorithms when dealing with the domain of stroke medical diagnosis. The dataset consists of patient records of the ”Acute Stroke Unit”, Alexandra Hospital, Athens, Greece, describing patients suffering one of 5 different stroke types diagnosed by 127 diagnostic attributes / symptoms collected during the first hours of the emergency stroke situation as well as during the hospitalization and recovery phase of the patients. Prior to the application of the intelligent classifier the dimensionality of the dataset is further reduced using a variety of classic and state of the art dimensionality reductions techniques so as to capture the intrinsic dimensionality of the data. The results obtained indicate that the proposed methodology achieves prediction accuracy levels that are comparable to those obtained by intelligent classifiers trained on the original feature space

Polycystic Ovary Syndrome: Pathogenesis, health consequences, and treatment of PCOS in relation to insulin resistance

The purpose of this paper is to present a review of the current research on polycystic ovary syndrome (PCOS). PCOS is one of the most common endocrine disorders in women of reproductive age, affecting 5-10% of the population. Despite its prevalence, PCOS remains largely under unknown. This review has been broken down into two separate chapters. The first is the pathogenesis and related health consequences of PCOS. This chapter focuses on the diagnosis of PCOS as well as the prevalence and incidence of the disease. It then delves into the pathogenesis with a focus on genetics, obesity, insulin resistance and birth weight. Lastly, the health consequences related to PCOS are discussed, with a focus on insulin resistance. The health outcomes reviewed include the metabolic syndrome, cardiovascular disease, and type II diabetes mellitus. The second chapter is a comparison of drug therapies and lifestyle modifications used to treat polycystic ovary syndrome. A short discussion on combination therapy is also included. By focusing on insulin resistance in treatment, it is possible to manage many of the symptoms of PCOS solely through lifestyle modifications. Although many questions remain surrounding polycystic ovary syndrome, this article provides a summary of the current research

Charcot neuroarthropathy : pathogenesis, diagnosis and medical management

Charcot neuroarthropathy (CN) is a progressive degenerative arthropathy which rarely complicates diabetes mellitus. Most commonly, though not exclusively affecting the foot, it seems to be determined by the interaction of neuropathy, osteopaenia and proinflammatory cytokines on a calcified peripheral vasculature that maintains its ability to vasodilate despite widespread arteriosclerosis. Although often unrecalled, this arthropathy is probably triggered by trauma. Diagnosis is essentially clinical, given the paucity and non-specificity of radiological and biochemical findings at the acute stage. CN should be considered in the differential diagnosis of any diabetic patient presenting with a warm swollen lower extremity. Bone turnover markers, magnetic resonance imaging and radioisotope scanning may be useful diagnostic aids. Offloading is essential and improves limb survival. There is considerable interest, though limited data, on the benefits of bisphosphonates and calcitonin. The possible roles of ultrasound and radiotherapy need to be assessed in larger trials. Failure to institute corrective measures at an early stage results in a foot that is prone to deformity, ulceration, amputation and loss of function. It is hoped that a better understanding of the aetiopathogenesis at a cytokine level will allow the targeting of new effective agents.peer-reviewe

Multimodal optical diagnostics of the microhaemodynamics in upper and lower limbs

The introduction of optical non-invasive diagnostic methods into clinical practice can substantially advance in the detection of early microcirculatory disorders in patients with different diseases. This paper is devoted to the development and application of the optical non-invasive diagnostic approach for the detection and evaluation of the severity of microcirculatory and metabolic disorders in rheumatic diseases and diabetes mellitus. The proposed methods include the joint use of laser Doppler flowmetry, absorption spectroscopy and fluorescence spectroscopy in combination with functional tests. This technique showed the high diagnostic importance for the detection of disturbances in peripheral microhaemodynamics. These methods have been successfully tested as additional diagnostic techniques in the field of rheumatology and endocrinology. The sensitivity and specificity of the proposed diagnostic procedures have been evaluated.<br/