Kemal Hakan Gülkesen

Learn More
Locating and securing an Alzheimer's patient who is outdoors and in wandering state is crucial to patient's safety. Although advances in geotracking and mobile technology have made locating patients instantly possible, reaching them while in wandering state may take time. However, a social network of caregivers may help shorten the time that it takes to(More)
Internet is being used increasingly as a resource for accessing health-related information because of its several advantages. Therefore, Internet tailoring becomes quite preferable in health education and personal health management recently. Today, there are many web based health programs designed for individuals. Among these studies nutrition and weight(More)
In some psychological disorders such as autism and schizophrenia, loss of facial expression recognition skill may complicate patient's daily life. Information technology may help to develop facial expression recognition skill by educational software and games. We designed and developed an interactive web-based educational program with which we performed a(More)
Prostate cancer is one of the most common cancers in men. Luckily, Serum PSA level, age, digital rectal examination (DRE), and clinical symptoms are helpful for early detection of this tumor. The aim of this study was to examine and compare the methods used for improving the diagnostic accuracy of serum PSA in Turkey, a country with low incidence of(More)
OBJECTIVE To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report.(More)
Social network analysis is a well-known method for discovering the social complexities of relationships. In this paper, we present the results of its application in a healthcare environment, i.e. a state university hospital. The sociometric method was adopted to collect social network data. The analysis was performed using Pajek. The medical(More)
Inter and intra-observer variability in mammographic interpretation is a challenging problem, and decision support systems (DSS) may be helpful to reduce variation in practice. Since radiology reports are created as unstructured text reports, Natural language processing (NLP) techniques are needed to extract structured information from reports in order to(More)
In some psychological disorders such as autism and schizophrenia, loss of facial expression recognition skill may complicate patient's daily life. Information technology may help to develop facial expression recognition skill by educational software and games. Our aim was to prepare a reliable “human facial expressions” digital photograph set,(More)