Ahmeti, Irfan
Preferred name
Ahmeti, Irfan
Official Name
Ahmeti, Irfan
Translated Name
Irfan Ahmeti
Main Affiliation
55 results
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Item type:Publication, Thyrotoxicosis Associated with Cholestatic Jaundice Treated with Therapeutic Plasma Exchange–Case Report(OMICS Publishing Group, 2017); ; ; Avramoski, Vladimir - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A case of ACTH producing oat cell carcinoma cause of ectopic Cushing's syndrome and life threatening hypokalaemia(Bioscientifica, 2013-04-01); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of hormone replacement therapy on hyperandrogenicity and glucose homeostasis in postmenopausal women with diabetes(Medical Faculty, Ss Cyril and Methodius University in Skopje, 2016); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Lower limb perfusion scintigraphy with 99mTc-MIBI scintigraphy and determination of endothelin in diabetic and nondiabetic patients(National Library of Serbia, 2020); ; ; ; Pop Gjorceva, Daniela - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Maternal 75 g OGTT glucose levels as predictive factors for large-for-gestational age newborns in women with gestational diabetes mellitus(Bioscientifica, 2013-04-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparing Time and Frequency Domain Heart Rate Variability for Deep Learning-Based Glucose Detection(Springer International Publishing, 2022-04-12); ; ; International Conference on ICT Innovations ICT Innovations 2021: ICT Innovations 2021. Digital Transformation pp 188–197Cite as Comparing Time and Frequency Domain Heart Rate Variability for Deep Learning-Based Glucose Detection Ervin Shaqiri, Marjan Gusev, Lidija Poposka, Marija Vavlukis & Irfan Ahmeti Conference paper First Online: 12 April 2022 165 Accesses Part of the Communications in Computer and Information Science book series (CCIS,volume 1521) Abstract Many researchers have been challenged by the usage of devices related to the Internet of Things in conjunction with machine learning to anticipate and diagnose health issues. Diabetes has always been a problem that society has struggled with. Due to the simplicity with which electrocardiograms can be captured and analysed, deep learning can be used to forecast a patient’s instantaneous glucose levels. Our solution is based on a unique method for calculating heart rate variability that involves segment identification, averaging, and concatenating the data to reveal better feature engineering results. Immediate plasma glucose levels are detected using short-term heart rate variability and applied a deep learning method based on Autokeras. In this paper. we address a research question to compare the predictive capability of time and frequency domain features for instantaneous glucose values. The neural architectural search for the time domain approach provided the best results for the 15-min electrocardiogram measurements. Similarly, the Frequency Domain approach showed better results on the same time frame. Regarding the time domain the best results are as follows: RMSE (0.368), MSE (0.193), R2 (0.513), and R2 loss (0.541). The best results for the Frequency Domain approach the best results are as follows: RMSE (0.301), MSE (0.346), R2 (0.45578), and R2 loss (0.482). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Malnutrition cause of Secondary Osteoporosis after surgical operation of Glucagonoma(Bioscientifica, 2013-04-01); ; Dimitrovski, CedomirIntroduction: Glucagonoma is a rare condition with annual incidence 1 in 20 million, associated with diabetes mellitus, dermatitis, deep vein trombosis and depression. Case report: A 55-year-old woman patient was hospitalized at our department because of intense discomfort of the skin lesions that were pruritic and painful, erythematous area of skin with blisters that breach after a few days, red tongue, cracks on the mouth corners. She had a constant weight loss accompanied with bloody diarrhea. Her weight was 36 kg, height 150 cm and her BMI was 16. We made 75 g OGTT and it was normal. She was misdiagnosed like contact dermatitis magnum et pedum, stomatitis protetica, erythema exsudativum multiforme, colitis. On the examination she had cheilitis angularis, atrophic glossitis, stomatitis, normochromic normocytic anemia and the Hct was 0.27, SE 70/100. She had dermatological changes – erythematous patch, blisters centrally, erodes, crusts, heals with hyperpigmentation. We made a lab test and we got that her glucagonemia was increased twice than normal. The normal values are 200 ng/l and she had 400 ng/l. We made a CT scan where a round form of a tumor was noticed in the pancreas with dimensions 5 cm width and 8 cm length. After that, she underwent a surgical operation and the surgeon made a distal splenopancreatectomy to remove the tumor. The tumor immunohistochemistry was positive of glucagon, synaptophysin and chromogranin-A. After the operation, she suffered from malnutrition and she came again at our department to check herself for osteoporosis. We made a DXA scan and we saw that she had a generalized secondary osteoporosis caused due to malnutrition after operation (T score=−4.0 on the spin, T score=−3.8 on the right hip and T score=−3.6 on the left hip). Conclusion: Long-term misdiagnosed glucagonoma explain appearance of other co-morbidites such as osteoporosis and anemia. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Менопауза, липиден профил и кардиоваскуларни болести(MACEDONIAN ASSOCIATION OF ANATOMISTS AND MORPHOLOGISTS, 2008); ; ; Mishevska, Petranka - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Metformin improves menstrual patterns, endocrine and metabolic profile in obese hyperinsulinemic women with a polycystic ovary syndrome(Macedonian Academy of Sciences and Arts, 2006-07); ;