1,720,979 research outputs found
Breastcan II – an interactive decision support system for the post-operative breast cancer treatment
A decision support system has been set up, BREASTCAN II, aimed to enable GPs to identify the optimal treatment for their breast cancer patients. BREASTCAN II takes into account physical and biological features of the patient and of the tumor, therefore the treatment which is recommended is specifically tuned to each specific case. BREASTCAN II is based on the most recent achievements in oncology world wide, on clinical protocols, on clinical cases and on the clinical expertise developed at National Cancer Institute in Genoa, where it has been tested. BREASTCAN II includes a patient record system and a reasoning system. The patient record system takes into account features of the patient and of the disease. The reasoning system is based on object in the patient record record and, if applicable, previous treatment including radiotherapy
BREASTCAN: a decision support system for the breat cancer chemotherapy. The validation phase within CONQUEST
Breast cancer represents the first neoplasm for incidence and mortality in women. Several millions of women have been diagnosed or will develop a breast cancer all over the world. Most of these patients are diagnosed and treated outside cancer Centre and managed by non oncologists. Prescription of inadequate therapy may allow reduced patients survival or disease control. We present a decision support system for individualized prescription of post surgery therapy in breast cancer patients based on patient’s characteristic and tumor biology and extention. As a first set of validation cases we considered 20 patients whose medical records are stored at the National Cancer Institute of Genova, these patient were all treated with radical mastectomy, with satisfactory result
BREASTCAN: the chemotherapy tool of CONQUEST
Breast is the neoplasm with highest incidence and mortality in women. All over the world several millions of women have been diagnosed or will develop a breast cancer. In many cases these patients are treated in general hospitals by general clinicians, rather than by oncologists in Cancer Centers. Prescription of inadequate therapy may allow reduced patients survival or disease control. We present a decision support system for individualized prescription of post surgery therapy in breast cancer patients based on patient’s characteristic and tumor biology and extention. As a first set of validation cases we considered 20 patients whose medical records are stored at the National Cancer Institute of Genova, these patient were all treated with radical mastectomy, with satisfactory results
Treatment of advanced or recurrent adenocarcinoma of the endometrium with doxorubicin and cyclophosphamide.
Thirteen patients with recurrent or advanced endometrial carcinoma were treated with a combination of doxorubicin (40 mg/m2 IV) and cyclophosphamide (600 mg/m2 IV). All patients had been refractory to prior radiotherapy and hormone therapy. None of the patients had received prior chemotherapy. Six of the 13 patients (46\%) achieved an objective response: 1 complete response (8\%) and 5 partial responses (38\%). Median overall survival was 10 months (range 3-20 months). Doxorubicin and cyclophosphamide is an active combination in patients with advanced endometrial cancer
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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