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https://www.readbyqxmd.com/read/28634156/classifying-chinese-questions-related-to-health-care-posted-by-consumers-via-the-internet
#1
Haihong Guo, Xu Na, Li Hou, Jiao Li
BACKGROUND: In question answering (QA) system development, question classification is crucial for identifying information needs and improving the accuracy of returned answers. Although the questions are domain-specific, they are asked by non-professionals, making the question classification task more challenging. OBJECTIVE: This study aimed to classify health care-related questions posted by the general public (Chinese speakers) on the Internet. METHODS: A topic-based classification schema for health-related questions was built by manually annotating randomly selected questions...
June 20, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28631139/a-systematic-review-of-wearable-patient-monitoring-systems-current-challenges-and-opportunities-for-clinical-adoption
#2
Mirza Mansoor Baig, Hamid GholamHosseini, Aasia A Moqeem, Farhaan Mirza, Maria Lindén
The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients...
July 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28626431/artificial-intelligence-assisted-online-social-therapy-for-youth-mental-health
#3
Simon D'Alfonso, Olga Santesteban-Echarri, Simon Rice, Greg Wadley, Reeva Lederman, Christopher Miles, John Gleeson, Mario Alvarez-Jimenez
Introduction: Benefits from mental health early interventions may not be sustained over time, and longer-term intervention programs may be required to maintain early clinical gains. However, due to the high intensity of face-to-face early intervention treatments, this may not be feasible. Adjunctive internet-based interventions specifically designed for youth may provide a cost-effective and engaging alternative to prevent loss of intervention benefits. However, until now online interventions have relied on human moderators to deliver therapeutic content...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28622437/detection-of-halitosis-in-breath-between-the-past-present-and-future
#4
Morad K Nakhleh, Marceau Quatredeniers, Hossam Haick
In order to develop a new generation of diagnostics for halitosis, replacing the subjective organoleptic assessment, a series of exhaled breath analyzers has been developed and assessed. All three devices rely on the assessment of exhaled Volatile Sulfuric Compounds (VSCs), which are mainly generated in and emitted from the oral cavity, contributing to the malodor. Portable, on-site and easy to use, these devices have potential for non-invasive diagnosis of halitosis. However, global assessment of exhaled VSCs alone has two main drawbacks: (1) the absence of VCSs does not rule out halitosis; (2) non-sulfuric volatile compounds that could be biomarkers of systemic diseases, found in up to 15% of halitosis cases, are neglected...
June 16, 2017: Oral Diseases
https://www.readbyqxmd.com/read/28622029/artificial-intelligence-the-future-of-cybertherapy
#5
Andrea Gaggioli
No abstract text is available yet for this article.
June 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28621365/bio-inspired-intelligent-evaporation-modulation-in-a-thermo-sensitive-nanogel-colloid-solution-for-self-thermoregulation
#6
Zhi Huang, Kang Liu, Yanhui Feng, Jun Zhou, Xinxin Zhang
Intelligent evaporation and temperature modulation plays an important role in self-regulation of living organisms and many industrial applications. Here we demonstrate that a poly(N-isopropylacrylamide) (PNIPAM) nanogel colloid solution can spontaneously and intelligently modulate its evaporation rate with temperature variation, which has a larger evaporation rate than distilled water at a temperature higher than its lower critical solution temperature (LCST) and a smaller evaporation rate at a temperature lower than its LCST...
June 16, 2017: Physical Chemistry Chemical Physics: PCCP
https://www.readbyqxmd.com/read/28620199/predicting-the-outcomes-of-organic-reactions-via-machine-learning-are-current-descriptors-sufficient
#7
G Skoraczyński, P Dittwald, B Miasojedow, S Szymkuć, E P Gajewska, B A Grzybowski, A Gambin
As machine learning/artificial intelligence algorithms are defeating chess masters and, most recently, GO champions, there is interest - and hope - that they will prove equally useful in assisting chemists in predicting outcomes of organic reactions. This paper demonstrates, however, that the applicability of machine learning to the problems of chemical reactivity over diverse types of chemistries remains limited - in particular, with the currently available chemical descriptors, fundamental mathematical theorems impose upper bounds on the accuracy with which raction yields and times can be predicted...
June 15, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28594815/preparation-of-biomimetic-hierarchically-helical-fiber-actuators-from-carbon-nanotubes
#8
Jue Deng, Yifan Xu, Sisi He, Peining Chen, Luke Bao, Yajie Hu, Bingjie Wang, Xuemei Sun, Huisheng Peng
Mechanically responsive materials that are able to sense and respond to external stimuli have important applications in soft robotics and the formation of artificial muscles, such as intelligent electronics, prosthetic limbs, comfort-adjusting textiles and miniature actuators for microfluidics. However, previous artificial muscles based on polymer materials are insufficient in generating large actuations, fast responses, diverse deformation modes and high cycle performances. To this end, carbon nanotubes (CNTs) are proposed as promising candidates to be assembled into artificial muscles, as they are lightweight, robust and have high surface-to-volume ratios...
July 2017: Nature Protocols
https://www.readbyqxmd.com/read/28594564/dynamic-modulation-of-radiative-heat-transfer-beyond-the-blackbody-limit
#9
Kota Ito, Kazutaka Nishikawa, Atsushi Miura, Hiroshi Toshiyoshi, Hideo Iizuka
Dynamic control of electromagnetic heat transfer without changing mechanical configuration opens possibilities in intelligent thermal management in nanoscale systems. We confirmed by experiment that the radiative heat transfer is dynamically modulated beyond the blackbody limit. The near-field electromagnetic heat exchange mediated by phonon-polariton is controlled by the metal-insulator transition of tungsten-doped vanadium dioxide. The functionalized heat flux is transferred over an area of 1.6 cm(2) across a 370 nm gap, which is maintained by the microfabricated spacers and applied pressure...
June 12, 2017: Nano Letters
https://www.readbyqxmd.com/read/28593605/online-webcam-based-eye-tracking-in-cognitive-science-a-first-look
#10
Kilian Semmelmann, Sarah Weigelt
Online experimentation is emerging in many areas of cognitive psychology as a viable alternative or supplement to classical in-lab experimentation. While performance- and reaction-time-based paradigms are covered in recent studies, one instrument of cognitive psychology has not received much attention up to now: eye tracking. In this study, we used JavaScript-based eye tracking algorithms recently made available by Papoutsaki et al. (International Joint Conference on Artificial Intelligence, 2016) together with consumer-grade webcams to investigate the potential of online eye tracking to benefit from the common advantages of online data conduction...
June 7, 2017: Behavior Research Methods
https://www.readbyqxmd.com/read/28589087/nodular-thyroid-disease-and-thyroid-cancer-in-the-era-of-precision-medicine
#11
REVIEW
Carles Zafon, Juan J Díez, Juan C Galofré, David S Cooper
The management of thyroid nodules, one of the main clinical challenges in endocrine clinical practice, is usually straightforward. Although the most important concern is ruling out malignancy, there are grey areas where uncertainty is frequently present: the nodules labelled as indeterminate by cytology and the extent of therapy when thyroid cancer is diagnosed pathologically. There is evidence that the current available precision medicine tools (from all the "-omics" to molecular analysis, fine-tuning imaging or artificial intelligence) may help to fill present gaps in the future...
April 2017: European Thyroid Journal
https://www.readbyqxmd.com/read/28587644/current-and-future-perspectives-on-the-management-of-polypharmacy
#12
Mariam Molokhia, Azeem Majeed
BACKGROUND: Because of ageing populations, the growth in the number of people with multi-morbidity and greater compliance with disease-specific guidelines, polypharmacy is becoming increasingly common. Although the correct drug treatment in patients with complex medical problems can improve clinical outcomes, quality of life and life expectancy, polypharmacy is also associated with an increased risk of adverse drug events, some severe enough to result in hospital admission and even death...
June 6, 2017: BMC Family Practice
https://www.readbyqxmd.com/read/28575552/supervised-machine-learning-reveals-that-old-and-obese-people-achieve-low-dapsone-concentrations
#13
Ronald G Hall, Jotam G Pasipanodya, Mark A Swancutt, Claudia Meek, Richard Leff, Tawanda Gumbo
The human species is becoming increasingly obese. Dapsone, which is extensively used across the globe for dermatological disorders, arachnid bites, and for treatment of several bacterial, fungal and parasitic diseases, could be affected by obesity. We performed a clinical experiment, using optimal design, in volunteers weighing 44-150 kilograms, to identify the effect of obesity on dapsone pharmacokinetic parameters based on maximum-likelihood solution via the expectation-maximization algorithm. Artificial intelligence-based multivariate adaptive regression splines were used for covariate selection, and identified weight and/or age as predictors of absorption, systemic clearance and volume of distribution...
June 2, 2017: CPT: Pharmacometrics & Systems Pharmacology
https://www.readbyqxmd.com/read/28566328/somatic-mutations-drive-distinct-imaging-phenotypes-in-lung-cancer
#14
Emmanuel Rios Velazquez, Chintan Parmar, Ying Liu, Thibaud P Coroller, Gisele Cruz, Olya Stringfield, Zhaoxiang Ye, G Mike Makrigiorgos, Fiona M M Fennessy, Raymond H Mak, Robert J Gillies, John Quackenbush, Hugo Aerts
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific mutations, artificial intelligence (AI) methods can automatically quantify phenotypic characters by using predefined, engineered algorithms or automatic deep-learning methods, a process also known as radiomics. Here we demonstrate how imaging phenotypes can be connected to somatic mutations through an integrated analysis of independent datasets of 763 lung adenocarcinoma patients with somatic mutation testing and engineered computed tomography (CT) image analytics...
May 31, 2017: Cancer Research
https://www.readbyqxmd.com/read/28555612/development-of-an-advanced-radioactive-airborne-particle-monitoring-system-to-use-in-early-warning-networks
#15
A Baeza, Jose Angel Corbacho, José Manuel Caballero, María Ángeles Ontalba, José Vasco, David Valencia
Automatic real-time warning networks are essential for the almost immediate detection of anomalous levels of radioactivity in the environment. In the case of Extremadura region (SW Spain), a radiological network (RARE) has been operational in the vicinity of the Almaraz nuclear power plant and in other areas farther away since 1992. There are ten air monitoring stations equipped with Geiger-Müller counters in order to evaluate the external ambient gamma dose rate. Four of those stations have a commercial system that provides estimates of the total artificial alpha and beta activity concentrations in aerosols and the 131 I activity (gaseous fraction)...
May 30, 2017: Journal of Radiological Protection: Official Journal of the Society for Radiological Protection
https://www.readbyqxmd.com/read/28552131/cancer-quantification-from-data-mining-to-artificial-intelligence
#16
EDITORIAL
Chung-Ming Lo, Usman Iqbal, Yu-Chuan Jack Li
No abstract text is available yet for this article.
July 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28545640/artificial-intelligence-in-precision%C3%A2-cardiovascular-medicine
#17
REVIEW
Chayakrit Krittanawong, HongJu Zhang, Zhen Wang, Mehmet Aydar, Takeshi Kitai
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission and mortality rates. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. Each problem requires some degree of understanding of the problem, in terms of cardiovascular medicine and statistics, to apply the optimal machine-learning algorithm...
May 30, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/28545224/natural-inspired-intelligent-visual-computing-and-its-application-to-viticulture
#18
Li Minn Ang, Kah Phooi Seng, Feng Lu Ge
This paper presents an investigation of natural inspired intelligent computing and its corresponding application towards visual information processing systems for viticulture. The paper has three contributions: (1) a review of visual information processing applications for viticulture; (2) the development of natural inspired computing algorithms based on artificial immune system (AIS) techniques for grape berry detection; and (3) the application of the developed algorithms towards real-world grape berry images captured in natural conditions from vineyards in Australia...
May 23, 2017: Sensors
https://www.readbyqxmd.com/read/28540687/logical-reasoning-inferencing-on-microrna-data
#19
Jingsong Wang
Logical reasoning played an important role in artificial intelligence. Applying logical reasoning on microRNA data brings intelligence into data analysis. Here, we provide basic introduction about logic (especially propositional logic) and automated reasoning based on knowledge described in the form of logic rules. We also introduce tools that could be used for building automated reasoning systems with microRNA data.
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28540477/-personalization-in-the-medicine-of-the-future-opportunities-and-risks
#20
REVIEW
N P Malek
Personalized medicine is not a new concept. The renaissance of the term is due to the enormous progress in gene sequencing technology and functional imaging, as well as the development of targeted therapies. Application of these technologies in clinical medicine will necessitate infrastructural as well as organizational and educational changes in the healthcare system. An important change required already in the short-term is the introduction of centralized structures, preferably in university clinics, which adopt these innovations and incorporate them into clinical care...
May 24, 2017: Der Internist
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