Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

A review on machinery diagnostics and prognostics implementing condition-based maintenance

Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.

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Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis

Forward and backward walking share the same motor modules and locomotor adaptation strategies.

A Finger-Worn Ring Sensor to Capture Hand Movements in an Ambulatory Setting

Solar Envelope systems, which represent the technological response for meeting aesthetic requirements and solar renewable energy exploitation on building facades, are gaining rising attention. However, they are still rare on the market. IEA SHC Task 56 focuses on the critical analysis, simulation, laboratory tests and onsite monitoring of market available and near market Solar Envelope systems. Within this framework, reference boundary conditions are required in order to assess the performance of Solar Envelope systems and compare different technologies through numerical simulations. The present paper reviews the process of defining reference boundary conditions for an office building, listing possible simplifications and required assumptions in order to calculate the impact at whole building level in terms of useful and final energy savings related to the installation of a facade integrated technology. The paper concludes with a comparison of simulation results between TRNSYS and DALEC, a simplified concept evaluation tool, which performs combined thermal and lighting analysis already at early design stages.

/pdf/definition-of-a-reference-office-building-for-simulation-2ojvao4isx.pdf

Definition of a reference office building for simulation based evaluation of solar envelope systems

Background Burn contractures are common and difficult to treat. Measuring continuous joint motion would inform the assessment of contracture interventions; however, it is not standard clinical practice. This study examines use of an interactive gaming system to measure continuous joint motion data. Objective To assess the usability of an exoskeleton-based interactive gaming system in the rehabilitation of upper extremity burn contractures. Design Feasibility study. Setting Eight subjects with a history of burn injury and upper extremity contractures were recruited from the outpatient clinic of a regional inpatient rehabilitation facility. Methods Subjects used an exoskeleton-based interactive gaming system to play 4 different video games. Continuous joint motion data were collected at the shoulder and elbow during game play. Main Outcome Measures Visual analog scale for engagement, difficulty and comfort. Angular range of motion by subject, joint, and game. Results The study population had an age of 43 ± 16 (mean ± standard deviation) years and total body surface area burned range of 10%-90%. Subjects reported satisfactory levels of enjoyment, comfort, and difficulty. Continuous joint motion data demonstrated variable characteristics by subject, plane of motion, and game. Conclusions This study demonstrates the feasibility of use of an exoskeleton-based interactive gaming system in the burn population. Future studies are needed that examine the efficacy of tailoring interactive video games to the specific joint impairments of burn survivors.

Paolo Bonato

Papers

Forward and backward walking share the same motor modules and locomotor adaptation strategies.

A Finger-Worn Ring Sensor to Capture Hand Movements in an Ambulatory Setting

Definition of a reference office building for simulation based evaluation of solar envelope systems

Feasibility of an Exoskeleton-Based Interactive Video Game System for Upper Extremity Burn Contractures

Robotic gait training in children with cerebral palsy: A case series