The paper is related to one of the aspects of learning from examples, namely learning how to identify a class of objects a given object instance belongs to. In the paper a method of generating sequence of features allowing such identification is presented. In this approach ,examples are represented in the form of attribute-value table with binary values of attributes. The main assumption is that one feature sequence is determined for all possible object instances, that is next feature in the order does not depend on values of the previous features. The algorithm is given generating a sequence under these conditions. Theoretical background of the proposed method is rough sets theory. Some generalizations of this theory are introduced in the paper. Finally, a discussion of the presented approach is provided and results of functioning of the proposed algorithm are summarized. Direction of further research is also indicated.
We studied 130 patients, aged 20 to 81 years, with symptoms of tinnitus, vertigo or dizziness. Radiological examinations revealed degenerative changes in the cervical spines of all patients such as discopathy or osteophytes. Head and neck and neurological examinations ruled out other symptoms apart from vertebrobasilar artery flow insufficiency. The vertebrobasilar arteries were examined by means of a color Doppler ultrasonograph using duplex scanning. The correlation coefficient (CC) defining the relationship between the number of patients with abnormal blood flow and the total number of patients with radiologically confirmed changes in the cervical spine was 41.5%. When patients were separated by age, the value of the CC coefficient increased proportionally according to age, changing from 0 to 79.1%. Use of the Doppler ultrasonograph was found to be a safe and non-invasive diagnostic method that enabled us to assess the influence of degenerative changes in the cervical spine on hemodynamic disturbances in the inner ear and brain stem. Our findings demonstrated a pathological decrease of vertebral artery flow velocity in relationship to degenerative changes in the cervical spine.
The aim of the study was the evaluation of the effectiveness of radiotherapy in elderly T1 glottic cancer patients and prognostic factors with particular focus on comorbidities. Five-year overall survival, disease-specific survival, and local control rates were 63%, 92%, and 93%, respectively. Multivariate analysis showed that the following factors had statistically significant impact on local relapse risk and cancer death risk: diabetes, underweight, and fraction dose of 2 Gy. High number of comorbidities, high CCI, and underweight negatively influenced overall survival. A retrospective analysis was performed in a group of 131 T1N0M0 glottic cancer patients aged 70 and above treated with irradiation at the National Institute of Oncology in Cracow between 1977 and 2007. In the analyzed group men prevailed (92%) of mean age of 74 years. Each patient was diagnosed with at least one comorbidity with the following comorbid conditions being most frequent: hypertension, ischemic heart disease, and chronic obstructive pulmonary disease. In the studied group, the effect of comorbidities on overall survival was evaluated using Charlson Comorbidity Index (CCI). Twenty five (19%) patients showed underweight. All patients were irradiated once daily, 5 days a week, to a total dose of 60–70 Gy with a fraction dose of 2 or 2.5 Gy. Radiotherapy is an effective treatment modality in elderly T1 glottic cancer patients. Diabetes as comorbidity, underweight, and conventional dose fractionation decrease the probability of curative effect of radiotherapy in this group of patients, while high number of comorbidities diminishes the probability of long-term survival.
The main difficulty is the total and near total reconstruction of the nose especially if it is necessary to reconstruct all nasal structures. From quality of life point of view the cooperation with dental prosthetic doctor is obligated for maxillectomy.
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