A Hybrid Algorithm for Fall Detection.

Falling is a major problem among the people globally, frequently due to some health problems including vision loss or balance disorder as a consequence of aging. As a result of the falling in elder people; injuries, complications, neurological problems and mortality are generally occurred. This situation also affects the patients' families psychologically. A large number of studies show that significant fractures, injuries and in some cases death are commonly encountered in elderly. Nonetheless, in the immediate intervention, the rate of damage is reduced and the life quality can be significantly restored. The purpose of this paper is to reduce fall-related problems by developing a new fall detector that we called Tesodev fall detector. In addition, a proper algorithm and a wearable electronic device attaching the sensor to patient's clothes are provided. The electronic device is an IOT device which can send and receive data wirelessly, which means that the device can inform the medical centres to improve medical attention time. Also, this device is modular and device allows keeping other medical data such as blood sugar, tension, heart rate, SPO2. Sensitivity, error rate and classification accuracy in this study are 89.8%, 23.4%, 76%, respectively.

Assessment of Content-Based Image Retrieval Approaches for Mammography Based on Breast Density Patterns.

This study is trying to assess methods commonly used in content-based image retrieval (CBIR) for screening mammography analysis. A database consists of 12 different BI-RADS classes related to breast density patterns of mammogram patches which are taken from IRMA database is used in this study. Three feature extraction methods, namely grey-level co-occurrence matrix (GLCM), principal component analysis (PCA), and scale-invariant feature transform (SIFT) are being investigated and compared with prior studies. Two retrieval methods are also used in this study, namely k-nearest neighbor (KNN) and mutual information (MI) to measure the similarity between query image and images in database. The result will be evaluated using positive count rate in each query for each class. The result of this study is expected to contribute more towards better Computed-Aided Diagnosis (CADx) and specifically screening mammography analysis in clinical cases.

Multilevel Combined Surgery With Transoral Robotic Surgery for Obstructive Sleep Apnea Syndrome.

OBJECTIVE: To evaluate the results of combined multilevel surgery with transoral robotic surgery (TORS) in patients with obstructive sleep apnea/hypopnea syndrome for multilevel upper airway obstruction. METHODS: Subjects who underwent combined sleep surgery via TORS were evaluated. The drug-induced sleep endoscopy was used in diagnosing the presence of level-specific upper airway collapse and to detect the type of surgery. Pre- and postoperative Apnea-hypopnea index, Epworth sleepiness scale lowest oxygen saturation, total operation time, robotic set-up time and robotic surgery time, blood loss value, and complications were recorded. RESULTS: Twenty five subjects were identified. All subjects underwent base of tongue (BOT) + epiglottoplasty. The tracheotomy was not performed for any patient. Overall, 72% of patients met the criteria for cure, 8% met the criteria for cure, and 20% of patients met the criteria for failure. There was a significant decrease between preoperative and postoperative Apnea-hypopnea index scores (28.7 ±â€Š17.8 SD versus 9.4 ±â€Š12.4, P = 0.000) and Epworth sleepiness scale scores (13.5 ±â€Š2.8 versus 3.4 ±â€Š1.6, P = 0.000). There was a significant increase between preoperative and postoperative ED SPO2 levels (80.7 ±â€Š7.6 versus 82.6 ±â€Š18.1, P = 0.001). CONCLUSION: TORS BOT, epiglottoplasty, and multilevel procedures in patients with obstructive sleep apnea/hypopnea syndrome can be regarded as feasible, safe, and effective technique.

Creating an IOT That Notifies Concerned People for the Falls of Geriatric Patients.

A fall is a multifactorial phenomenon which cause an increase in both mortality and injury rates. The cause of a fall is mostly related to loss in reflexes especially in older ages. A number of large prospective studies shows that elderly patients have significant fractures and injuries even sometimes in some cases a fall can be concluded with deaths. However, in case of fall, if the situation is noticed and aided quickly, the life quality can be increased significantly in older people. With implementation of preventive strategies or premonitory devices, this devastating problem can be solved. The IOT project is a prototype with two versions which are needled and attached versions and accomplishes basic functions such as information about falls and send it through the internet. By this way, the falls are transmitted to concerned people or patient's relatives with position information.

Mining level of control in medical organizations.

In literature of strategic management, there are three layers of control defined in organizational structures. These layers are strategic, tactical and operational, in which resides senior, medium level and low level managers respectively. In strategic level, institutional strategies are determined according to senior managers' perceived state of organization. In tactical level, this strategy is processed into methods and activities of a business management plan. Operational level embodies actions and functions to sustain specified business management plan. An acknowledged lead organization in Turkish medical area is examined using case study and data mining method in the scope of this paper. The level of decisions regarded in managerial purposes evaluated through chosen organization's business intelligence event logs report. Hence specification of management level importance of medical organizations is made. Case study, data mining and descriptive statistical method of taken case's reports present that positions of "Chief Executive Officer", "Outpatient Center Manager", "General Manager", monitored and analyzed functions of operational level management more frequently than strategic and tactical level. Absence of strategic management decision level research in medical area distinguishes this paper and consequently substantiates its significant contribution.