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您的检索式：作者名="Kanwal Aftab"
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| 1 | AMachine Learning Approach to User Profiling for Data Annotation of Online Behavior显示文摘The user’s intent to seek online information has been an active area of research in user profiling.User profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and motivations.Determining user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content presentation.The user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social platforms.However,a combination of multiple behaviors in profiling users has yet to be considered.This research takes a novel approach and explores user intent types based on multidimensional online behavior in information acquisition.This research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine learning.The research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data annotation.User feedback is based on online behavior and practices collected by using a survey method.The participants include both males and females from different occupation sectors and different ages.The data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their characteristics.Different techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of 1136.Feature average is computed to identify user intent type characteristics.The user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on their preferences in online content,platforms,criteria,and frequency.The study also validates the proposed template on user feedback data through Inter-Rater Agreement process using an external human rater. | Moona Kanwal Najeed AKhan Aftab A.Khan | 2024 | Computers, Materials & Continua2024，78，2： | 0 |
| 2 | Atypical focal nodular hyperplasia of the liver显示文摘BACKGROUND:Focal nodular hyperplasia,a benign hepatic tumor,is usually asymptomatic.However,rarely the entity can cause symptoms,mandating intervention. METHOD:We present a case of focal nodular hyperplasia of the liver,which caused a considerable diagnostic dilemma due to its atypical presentation. RESULTS:A 29-year-old woman presented with a 15-year history of a progressively increasing mass in the right upper quadrant which was associated with pain and emesis. Examination showed a firm,mobile mass palpable below the right subcostal margin.A computed tomography scan of the abdomen showed an exophytic mass arising from hepatic segments III and IVb.Trucut biopsy of the hepatic mass was equivocal.Angiography showed a vascular tumor that was supplied by a tortuous branch of the proper hepatic artery. Surgical intervention for removal of the mass was undertaken. Intra-operatively,two large discrete tumors were found and completely resected.Histopathological examination showed features consistent with focal nodular hyperplasia. CONCLUSION:This description of an unusual case of focal nodular hyperplasia of the liver highlights the point that the diagnosis of otherwise benign hepatic tumors may be difficult despite extensive work-up in some cases. | Muhammad Rizwan Khan Taimur Saleem Tanveer Ul Haq Kanwal Aftab | 2011 | Hepatobiliary & Pancreatic Diseases International2011，10，1： | 0 |
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