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Long-term adjuvant endocrine therapy patients often fail to follow-up with their care providers for the recommended duration of time. We used electronic health record data, tumor registry records, and appointment logs to predict follow-up for an adjuvant endocrine therapy patient cohort. Learning predictors for follow-up may facilitate interventions that improve follow-up rates, and ultimately improve...
Electronic health record (EHR) systems store longitudinal medical data that allows for retrospective studies in healthcare. An ideal EHR would clearly designate when patient data starts and ends, allowing maximal data utility in retrospective studies. However, with differences in EHR implementation, and patients receiving treatment across many healthcare systems, timelines for reliable longitudinal...
In a way to deal with real heath care problems, we proposed a fuzzy based decision- making system for diagnosis of breast cancer. Breast cancer is the most far- reaching disease today, so primary detection of Breast Cancer is very significant. The proposed paper was provided with artificial intelligent techniques such as fuzzy logic to give correct decision making. The fuzzy rule- based makes use...
Breast cancer is leading cause of death and also one of the most invasive types of cancers among women in worldwide. It happens when cells in the breast start to develop uncontrollably or spread throughout the body. Early detection and effective diagnosis is the only rescue to lessen breast cancer fatality. Accurate classification of breast tumor is an important task in medical diagnosis. Soft computing...
Medical diagnostic reports archived as electronic forms are valuable resources for processing to understand retrospectively, the severity of the disease among patients and to verify the correctness of the diagnosis. In this work, Breast Cancer Pathology reports are processed using Natural Language Processing (NLP) and Information Extraction (IE) techniques in order to extract the parameters required...
In this paper, the performance of three Distance Transform on Curved Space-based features derived from digital H&E stained oncopathological images used in breast cancer pattern recognition scheme are compared. The three features utilized are SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS with three different sliding window (SW) sizes. The results imply that the three distance transform features yield slightly...
This paper presents a novel design and methodology which are implemented through a web based decision support system designed for oncologists and medical professionals. It gives an overview on the development process and methodology. It also explores previous works and similar research in this domain while highlights some of the limitations in those systems and compares our system which has addressed...
The paper presents some recent advances concerning a non-invasive microwave technique which is investigating living structures. A thermogram is plotted, obtained by microwave radiometry. Rigorous scientific studies have shown that the thermo-effect is accompanying growing tumors and atypical developing tissues. Early breast cancer structures are highlighted by this method, two cases being detected:...
In healthcare, inter-institutional process support implicates decentralized and ad-hoc workflows. From the perspective of system integration, the autonomy of the sites which are participating in a healthcare network is mostly untouchable. Traditional activity-oriented workflow models or content-oriented workflow models do not provide adequate support in such system environments and workflow scenarios...
With the development of modern science, the goal of medical research is not limit to explore a type of disease but more accurate multi-subtypes of this disease. For example breast cancer can be divided into three different subtypes: BRCA1, BRCA2 and Sporadic. Previous work only focuses on distinguishing several pairs of tumors. However, the simultaneous distinguish across multiple disease types has...
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