Showing papers in "Informatics in Medicine Unlocked in 2018"

TL;DR: A novel model based on data mining techniques for predicting type 2 diabetes mellitus (T2DM) based on a series of preprocessing procedures is proposed and is shown to be useful for the realistic health management of diabetes.

TL;DR: In this paper, a new method called Akbari-ganji's method (AGM) along with differential transformation method (DTM) has been conducted for the flow of blood containing nanoparticles in a porous media affected by the magnetic field.

TL;DR: An MI classifier is developed that combines both convolutional and recurrent neural networks, and is suitable for wearable ECG devices with only a single lead recording, and performs multiclass classification to discriminate the ECG records of MI.

TL;DR: Chitosan was derived from crab shell using two concentrations of hydrochloric acid during demineralisation step and sodium tripolyphosphate and barium chloride as chelators to produce polymeric nanoparticles of size below 500 nm.

TL;DR: A stage-structure predator-prey model is formulated and studied which means that the prey population is divided into two sub populations such as juvenile prey and adult prey, on the other hand, the predator population is also divided intoTwo sub populationssuch as juvenile predator and adult predator.

TL;DR: A feasible framework towards skin lesion analysis, named Multi-Channel-ResNet, to assemble multiple residual neural networks (ResNets), in which the training data has been pretreated with different methods achieves excellent performance.

TL;DR: There is a strong positive correlation between perceived usefulness and perceived ease of use resulting in a positive effect on nurses' acceptance and these findings can be used as guidance for hospital management to address the nurses' concerns.

TL;DR: This model depends on the arrangement of nonlinear reaction diffusion equations for Michaelis-Menten formalism that depicts the concentrations of substrate and product and the corresponding current response has been derived for all estimations of parameters utilizing the new perturbation technique.

TL;DR: This paper argues for adapting and extending related work methods in the field of big data software, using Hadoop and Spark frameworks to provide an optimal and efficient architecture for biomedical image analysis.

TL;DR: The produced biopolymer will likely be helpful in developing a novel cancer detection tool, by studying the surface adherence property of the cell towards the PHB sheet.

TL;DR: In this article, a docking study of acetylated abietane quinone against ClfA (clumping factor A) using the AutoDock tool was performed and the formed hydrogen bonds in the docked complex were analyzed using Pymol software.

TL;DR: The design and development of this Internet of Medical Things based framework involving adoption of Global Environment for Network Innovations based networking principles is elaborated and the outcomes underscore the potential of adopting such Internet of medical Things based approaches for medical education.

TL;DR: This review is intended to provide researchers with a complete overview of NGS along with knowledge of how the tools will be employed, and insight into identification and interpretation of cancer mutations for clinical diagnostics.

TL;DR: This dataset, which was acquired on 20 healthy subjects and 9 patients with type-1 diabetes, consists of ECG, breathing, and accelerometer signals, as well as glucose measurements and annotated food pictures and is opened to the scientific community to allow the development and evaluation of diabetes management algorithms.

TL;DR: This paper demonstrates that Lee et al. scheme is still vulnerable to forgery and offline password guessing attacks and it is also unable to provide user anonymity, forward secrecy and mutual authentication, and presents a secure authentication scheme for TMIS.

TL;DR: The efficiency of the proposed hybrid model in both two-class and 16-class modes significantly improved the accuracy, sensitivity, the average of sensitivity and specificity parameters compared to similar methods.

TL;DR: It was observed that Epigallocatechin gallate exhibited least binding energy of −9.1 kcal/mol and hence has anti-inflammatory activity and Catechin has best binding affinity with H-Ras p21 and Hence has anti proliferative activity.

TL;DR: A new comprehensive mobile architecture for tackling the challenging issues of obesity control, monitoring, and prevention is developed and intelligent suggestions, warnings, and recommendations to control and mitigate the risk of obesity and its related diseases are generated.

TL;DR: This study quantifies both change and diversification of topics covered in Computers in Biology and Medicine by analysing the author supplied keywords, and finds that the three most popular topics in CBM are: Support Vector Machine (SVM), Electroencephalography (EEG) and IMAGE PROCESSING.

TL;DR: The study compared the strength of the two groups based on maximal isometric muscle force and state of muscle fatigue using the slope of median frequency (MDF) and found that there was an 18.39% increase in the biceps brachii muscle strength for trained subjects as compared with untrained subjects.

TL;DR: A fully automated technique for extracting posts from various Medical Forum Websites has been devised and it performs well for differently structured web pages belonging to diverse forum websites and it can be applied to other social web forums as well.

TL;DR: Hunteria umbellata seed extract and its compound 2,2-Benzylidenebis (3-methylbenzofuran) have a significant antidiabetic activity against PPAR-γ.

TL;DR: The mid-width method is an exact method developed on two independent transportation problems which are obtained from a fully integer transportation problem and is extended to fuzzy transportation problems.

TL;DR: A novel method is presented for training clinical NER systems that does not require any manual annotations and only requires a raw text corpus and a resource like UMLS that can give a list of named entities along with their semantic types.

TL;DR: This paper seeks to address the limitation of one such reasoning algorithm known as Select and Test (ST) by creating an efficient input mechanism that enables the system to read, filter and clean input from datasets.

TL;DR: This review presents GPU implementation methods, tools and RNA Sequence advantages on cancer as identified together of GPGPU (“General-Purpose computing on the GPU”).

TL;DR: The results revealed that making the choice of filtering algorithm affects the final segmentation results, and the proposed APPDRC Filter achieved the best performance, and outperformed the five evaluated filtering methods.

TL;DR: An Android-based mobile application and a web based telemonitoring platform have been implemented, wherein the location, gait information, predefined posture or activity, and falling accidents of the patient can be monitored.

TL;DR: Examination of the effectiveness and accuracy of using near-infrared spectroscopy for measuring cerebral blood flow in infants and for health monitoring purposes found a 94% accuracy in classification of healthy infants from unhealthy cases.