Data Mining in Healthcare: A Survey of Techniques and Algorithms with its Limitations and Challenges

The large amount of data in healthcare industry is a key resource to be processed and analyzed for knowledge extraction. The knowledge discovery is the process of making low-level data into high-level knowledge. Data mining is a core component of the KDD process. Data mining techniques are used in healthcare management which improve the quality and decrease the cost of healthcare services. Data mining algorithms are needed in almost every step in KDD process ranging from domain understanding to knowledge evaluation. It is necessary to identify and evaluate the most common data mining algorithms implemented in modern healthcare services. The need is for algorithms with very high accuracy as medical diagnosis is considered as a significant yet obscure task that needs to be carried out precisely and efficiently

LSTM Based Lip Reading Approach for Devanagiri Script

Speech Communication in a noisy environment is a difficult and challenging task. Many professionals work in noisy environments like aviation, constructions, or manufacturing, and find it difficult to communicate orally. Such noisy environments need an automated lip-reading system that could be helpful in communicating some instructions and commands. This paper proposes a novel lip-reading solution, which extracts the geometrical shape of lip movement from the video and predicts the words/sentences spoken. An Indian specific language data set is developed which consists of lip movement information captured from 50 persons. This includes students in the age group of 18 to 20 years and faculty in the age group of 25 to 40 years . All have spoken a paragraph of 58 words within 10 sentences in Hindi (Devanagari, spoken in India) language which was recorded under various conditions. The implementation consists of facial parts detection, along with Long short term memory’s. The proposed solution is able to predict the words spoken with 77% and 35% accuracy for data set of 3 and 10 words respectively. The sentences are predicted with 20% accuracy, which is encouraging

Valuing Health Gain from Composite Response Endpoints for Multisystem Diseases

Objectives: This study aimed to demonstrate how to estimate the value of health gain after patients with a multisystem disease achieve a condition-specific composite response endpoint. Methods: Data from patients treated in routine practice with an exemplar multisystem disease (systemic lupus erythematosus) were extracted from a national register (British Isles Lupus Assessment Group Biologics Register). Two bespoke composite response endpoints (Major Clinical Response and Improvement) were developed in advance of this study. Difference-in-differences regression compared health utility values (3-level version of EQ-5D; UK tariff) over 6 months for responders and nonresponders. Bootstrapped regression estimated the incremental quality-adjusted life-years (QALYs), probability of QALY gain after achieving the response criteria, and population monetary benefit of response. Results: Within the sample (n = 171), 18.2% achieved Major Clinical Response and 49.1% achieved Improvement at 6 months. Incremental health utility values were 0.0923 for Major Clinical Response and 0.0454 for Improvement. Expected incremental QALY gain at 6 months was 0.020 for Major Clinical Response and 0.012 for Improvement. Probability of QALY gain after achieving the response criteria was 77.6% for Major Clinical Response and 72.7% for Improvement. Population monetary benefit of response was £1 106 458 for Major Clinical Response and £649 134 for Improvement. Conclusions: Bespoke composite response endpoints are becoming more common to measure treatment response for multisystem diseases in trials and observational studies. Health technology assessment agencies face a growing challenge to establish whether these endpoints correspond with improved health gain. Health utility values can generate this evidence to enhance the usefulness of composite response endpoints for health technology assessment, decision making, and economic evaluation

Controllability and point-to-point control of 3-DOF planar horizontal underactuated manipulators

This paper presents the controllability properties of an underactuated 3R manipulator and the application of a discontinuous point-to-point control law for a three-degree-of-freedom (DOF) PPR manipulator. In the first half we present a controllability analysis at various actuator configurations of the manipulator. A novel contribution is that we use a single coordinate system to analyse the controllability at all the three possible configurations. In the second half we present a discontinuous feedback control law for point-to-point control of a 3 DOF PPR underactuated manipulator moving in a horizontal plane. Simulation results are presented that demonstrate the effectiveness of the controller

Discontinuous feedback control of A 3 link planar PPR underactuated manipulator

In this paper we consider the synthesis of a point-to-point control law for a three degrees of freedom planar PPR underactuated manipulator moving in a horizontal plane. We apply the results of [1] where a discontinuous feedback controller construction for a special class of underactuated systems is presented. By using a coordinate transformation provided by [2] we transform the system into chained form which makes it suitable for the application of the discontinuous control law. Simulation results are presented that demonstrate the effectiveness of the controller

USE OF UBIQUITOUS COMPUTING FOR RETAIL INDUSTRY

In today’s era of digitalization in every field and increasing digitalized systems being implemented in almost all the fields, this project centralizes on developing a system that tries to minimize the human resources, time and efforts in the payment system. Thecoreconceptofthisprojectistodevelopanapplicationforthemallsanditscustomersthatwill provide an effective shopping hence reducing the efforts from the customers as well as the vendors. The main objective of the project is to develop a system for the shopping malls and its customers which will provide ease of buying and selling of products. Also it minimizes the waiting time of the customers in the queue and saving time during the shopping using a guiding system and exploring a variety of products from the application

Spectralis optical coherence tomography findings in Welder′s maculopathy

Welder′s maculopathy is a form of photochemical damage to the retina and is typically characterized by involvement of the outer retinal layers. Spectral domain optical coherence tomography (SD-OCT) imaging was performed in three eyes of two patients with clinical findings suggestive of Welder′s maculopathy in occupational welders. A faceted foveal lesion characterized clinical examination and the SD-OCT line scans images showed a distinct discontinuity of the photoreceptor inner and outer segment (IS/OS) junction. The external limiting membrane (ELM) and the retinal pigment epithelial (RPE) layer remained intact at the site of IS/OS defect. SD-OCT imaging offers a noninvasive way of evaluating the microstructural changes at the fovea in Welder′s maculopathy