A window-based time series feature extraction method.

This study proposes a robust similarity score-based time series feature extraction method that is termed as Window-based Time series Feature ExtraCtion (WTC). Specifically, WTC generates domain-interpretable results and involves significantly low computational complexity thereby rendering itself useful for densely sampled and populated time series datasets. In this study, WTC is applied to a proprietary action potential (AP) time series dataset on human cardiomyocytes and three precordial leads from a publicly available electrocardiogram (ECG) dataset.

A novel approach to optimize workflow in grid-based teleradiology applications.

Background And Objective: This study proposes an infrastructure with a reporting workflow optimization algorithm (RWOA) in order to interconnect facilities, reporting units and radiologists on a single access interface, to increase the efficiency of the reporting process by decreasing the medical report turnaround time and to increase the quality of medical reports by determining the optimum match between the inspection and radiologist in terms of subspecialty, workload and response time.

Methods: Workflow centric network architecture with an enhanced caching, querying and retrieving mechanism is implemented by seamlessly integrating Grid Agent and Grid Manager to conventional digital radiology systems. The inspection and radiologist attributes are modelled using a hierarchical ontology structure.

Integration of federated medical systems for vendor neutral image access in teleradiology applications.

This paper proposes a framework designed to interconnect medical imaging facilities and teleradiology service providers on a single access interface. This framework aims to solve the interoperability issues of Picture Archiving and Communication System (PACS), Radiology Information System (RIS) and Hospital Information System (HIS) developed by different vendors and enrich the digital health record delivered to non-local radiologists or physicians with the integrated information from several systems. This is achieved by introducing a "Grid Agent" into the domain of medical software systems, which seamlessly integrates with present systems and forms a network to deliver data between other Grid Agents and the "Grid Manager".

Policymaking to preserve privacy in disclosure of public health data: a suggested framework.

Health organisations in Turkey gather a vast amount of valuable individual data that can be used for public health purposes. The organisations use rigid methods to remove some useful details from the data while publishing the rest of the data in a highly aggregated form, mostly because of privacy concerns and lack of standardised policies. This action leads to information loss and bias affecting public health research.

Design and evaluation of an ontology based information extraction system for radiological reports.

This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules and domain ontology. The ontology provides flexibility in the design of extraction rules, and determines the information model for the extracted semantic information. Although our information extraction system mainly concentrates on abdominal radiology reports, the system can be used in another field of medicine by adapting its ontology and extraction rule set.

A knowledge based search tool for performance measures in health care systems.

Performance measurement is vital for improving the health care systems. However, we are still far from having accepted performance measurement models. Researchers and developers are seeking comparable performance indicators.

An integrated approach to breast diseases and breast cancer registry and research: BDRS as a web-based multi-institutional model.

Accurate, complete, and timely health data sources are essential for progress in health care. Registry and research systems are foundations for conducting clinical and epidemiological research. Developing countries lack these systems due to the scarcity of the resources allocated for health information systems.

MedicoPort: a medical search engine for all.

We present a new next generation domain search engine called MedicoPort. MedicoPort is a medical search engine designed for the users with no medical expertise. It is enhanced with the domain knowledge obtained from Unified Medical Language System (UMLS) to increase the effectiveness of the searches.

EVEREST: an efficient method for verification of digital signatures in real-time teleradiology.

The introduction of digital medical images requires a legally binding digital signature that guarantees authenticity and integrity of the image. In real-time teleradiology services, the system is expected to respond very quickly however to verify the signature a considerable amount of time is spent to compute the hash value of the image since the image size might be huge (tens of megabytes). Motivating by this fact, in this paper we propose EVEREST, an efficient methodology for verification.

Integrated breast diseases research and cancer registry in Turkey.

A system we call BDRS is implemented as an integrated disease specific system for breast diseases in order to obtain and use patient health data for clinical research, cancer registry and clinical care. It is an open, flexible and modular system that supports multi-institutional and multi-viewed utilization of health data. Three-tier web based architecture, and object oriented technologies have been employed to ensure its extendibility.

Survivable authentication for health information systems.

Possible solutions to establish a survivable authentication framework in a health information system including the one based on one-time passwords (OTPs) are discussed. A new convenient method to generate OTPs is proposed.