Biomedical subjects

A Kusiak

Publications and source records attributed to A Kusiak.

5 recordsLinked to original sources

PubMed2005

Root morphology of mandibular premolars in 40 patients with Turner syndrome.

AIM: To analyse root morphology of mandibular premolars in 40 females with Turner syndrome. METHODOLOGY: All patients aged 18-50 years (mean+/-SD: 26.2+/-6.22) were clinically and cytogenetically diagnosed and divided into three groups according to karyotype: I-with 45,X (n=19); II-with 46,X,i(Xq) and other structural changes of this chromosome (n=8); III-with mos45,X/46,XX and other mosaic karyotype (n=13). The control group consisted of 30 healthy women aged 20-50 years (mean+/-SD: 31.52+/-5.21) who underwent dental treatment at the Department of Conservative Dentistry and Department of Periodontology and Oral Mucosa Diseases, Medical University of Gdańsk, Poland. The root morphology of mandibular premolars was studied based on orthopantomogram X-ray images. The results were analysed using chi-square test with Yates's adjustment. RESULTS: Separate mesial and distal root canals and separate root apices were noted on orthopantomograms in patients with Turner syndrome. Two-rooted mandibular first premolars were observed in 34% of cases in group 45,X (group I), in 31% of cases in the group with structural aberrations of chromosome X (group II) and in 31% of cases with mosaic karyotypes (group III). Two-rooted mandibular second premolars were observed in 39% cases in group 45,X and in 31% of cases in the group with structural aberrations of chromosome X and in 35% of cases with mosaic karyotypes. This type of root morphology was not observed in the control group. No significant difference was found between the three groups of Turner syndrome. CONCLUSION: Highly significant differences in root morphology of mandibular premolars between patients with Turner syndrome and a population control group were found.

Adolescent↗

PubMed2001

The G-algorithm for extraction of robust decision rules--children's postoperative intra-atrial arrhythmia case study.

Clinical medicine is facing a challenge of knowledge discovery from the growing volume of data. In this paper, a data mining algorithm (G-algorithm) is proposed for extraction of robust rules that can be used in clinical practice for better understanding and prevention of unwanted medical events. The G-algorithm is applied to the data set obtained for children born with a malformation of the heart (univentricular heart). As the result of the Fontan surgical procedure, designed to palliate the children, 10%-35% of patients postoperatively develop an arrhythmia known as the intra-atrial reentrant tachycardia. There is an obvious need to identify the children that may develop the tachycardia before the surgery is performed. Prior attempts to identify such children with statistical techniques have been unrewarding. The G-algorithm discussed in this paper shows that there exists an unambiguous relationship between measurable features and the tachycardia. The data set used in this study shows that, for 78.08% of infants, the occurrence of tachycardia can be accurately predicted. The authors' prior computational experience with diverse medical data sets indicates that the percentage of accurate predictions may become even higher if data on additional features is collected for a larger data set.

Algorithms↗

PubMed2001

[Evaluation of clinical and radiological results of operative treatment of patellar fractures].

The paper presents the clinical and radiological evaluation of surgical treatment of patellar fractures in the years 1984-1999. Th study group included 45 patients (18 female and 27 males). The observation period ranged from 2 to 6 years; on average 6 years. The most common procedure was tension band fixation (20 patients), followed by hemipatellectomy (14 patients) and patellectomy (11 patients). Radiological assessment revealed the highest number of excellent and very good results in patients treated with tension band fixation. No excellent results and 50% food results were noted in patients treated by partial patellectomy. The worst radiological resulted were noted in patients treated by total patellectomy. Clinical results were similar to radiological results: 75% of patients treated by tension band fixation had no pain, while the group treated by total patellectomy revealed only 27.3% excellent and very good results.

Adult↗

PubMed2000

Autonomous decision-making: a data mining approach.

The researchers and practitioners of today create models, algorithms, functions, and other constructs defined in abstract spaces. The research of the future will likely be data driven. Symbolic and numeric data that are becoming available in large volumes will define the need for new data analysis techniques and tools. Data mining is an emerging area of computational intelligence that offers new theories, techniques, and tools for analysis of large data sets. In this paper, a novel approach for autonomous decision-making is developed based on the rough set theory of data mining. The approach has been tested on a medical data set for patients with lung abnormalities referred to as solitary pulmonary nodules (SPNs). The two independent algorithms developed in this paper either generate an accurate diagnosis or make no decision. The methodolgy discussed in the paper depart from the developments in data mining as well as current medical literature, thus creating a variable approach for autonomous decision-making.

Algorithms↗

PubMed1997

[Evaluation of the value of intraarticular Hyalgan injections for treatment of knee joint osteoarthritis].

The efficacy of Hyalgan has been assessed in a series of 96 patients with osteoarthritis of the knee of various stage. Subjective and objective findings were recorded during four weeks of Hyalgan administration and during 6 months following. Marked improvement was observed in patients with low to medium degree of degenerative changes. Those with advanced osteoarthritis seem to benefit little if any from Hyalgan.

Adult↗