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您的检索式：作者名="Muhammad Omar Azam"
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| 1 | Chylous ascites after pancreatico-duodenectomy显示文摘BACKGROUND:Chylous ascites(CA) following pancreatico-duodenectomy(PD) is a rare complication secondary to disruption of the lymphatics during extended retroperitoneal lymph node dissection. The majority of cases do not develop CA,possibly due to patency of the proximal thoracic duct and good collaterals. CA may be due to a consequence of occult obstruction of the proximal thoracic duct by malignant infiltration or tumor embolus. This study was to report the incidence of CA and its outcomes of management. METHODS:A retrospective search of our liver database was performed using the 'pancreatico-duodenectomy','chylous ascites' from January 2000 to December 2005. The medical records of CA patients and their management and outcome were reviewed. RESULTS:In 138 patients who had undergone PD in our centre for pancreatic malignancy,3 were identified with CA and managed by abdominal paracentesis. CA resolved in 2 patients with low fat medium chain triglyceride diet alone and 1 patient had total parenteral nutrition(TPN) for persistent CA. Resolution of CA occurred in these 3 patients at a median follow-up of 4 weeks(range 4-12 weeks). Histologically,resected specimen confirmed pancreatic adenocarcinoma in all the patients. Two patients developed loco-regional recurrences at a median follow up of 8 months(range 6-10 months). And the other was currently disease free at a 10-month follow up. CONCLUSIONS:CA as an uncommon postoperative complication requires frequent paracentesis,prolonged hospital stay,and delayed adjuvant chemotherapy. CA istreated with low fat medium chain triglyceride diet or occasionally TPN is required. | Mansoor Ahmed Madanur Narendra Battula Muhammad Omar Azam Nigel Heaton Mohamed Rela | 2007 | Hepatobiliary & Pancreatic Diseases International2007，6，4： | 1 |
| 2 | Federated Machine Learning Based Fetal Health Prediction Empowered with Bio-Signal Cardiotocography显示文摘Cardiotocography measures the fetal heart rate in the fetus during pregnancy to ensure physical health because cardiotocography gives data about fetal heart rate and uterine shrinkages which is very beneficial to detect whether the fetus is normal or suspect or pathologic.Various cardiotocography measures infer wrongly and give wrong predictions because of human error.The traditional way of reading the cardiotocography measures is the time taken and belongs to numerous human errors as well.Fetal condition is very important to measure at numerous stages and give proper medications to the fetus for its well-being.In the current period Machine learning(ML)is a well-known classification strategy used in the biomedical field on various issues because ML is very fast and gives appropriate results that are better than traditional results.ML techniques play a pivotal role in detecting fetal disease in its early stages.This research article uses Federated machine learning(FML)and ML techniques to classify the condition of the fetus.This study proposed a model for the detection of bio-signal cardiotocography that uses FML and ML techniques to train and test the data.So,the proposed model of FML used numerous data preprocessing techniques to overcome data deficiency and achieves 99.06%and 0.94%of prediction accuracy and misprediction rate,respectively,and parallel the proposed model applying K-nearest neighbor(KNN)and achieves 82.93%and 17.07%of prediction accuracy and misprediction accuracy,respectively.So,by comparing both models FML outperformed the KNN technique and achieved the best and most appropriate prediction results as compared with previous studies the proposed study achieves the best and most accurate results. | Muhammad Umar Nasir Omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy Muhammad Adnan Khan Muhammad Hasnain Azam Khan Muhammad Adnan | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
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