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https://www.readbyqxmd.com/read/28527352/a-cbr-framework-with-gradient-boosting-based-feature-selection-for-lung-cancer-subtype-classification
#1
Juan Ramos-González, Daniel López-Sánchez, Jose A Castellanos-Garzón, Juan F de Paz, Juan M Corchado
Molecular subtype classification represents a challenging field in lung cancer diagnosis. Although different methods have been proposed for biomarker selection, efficient discrimination between adenocarcinoma and squamous cell carcinoma in clinical practice presents several difficulties, especially when the latter is poorly differentiated. This is an area of growing importance, since certain treatments and other medical decisions are based on molecular and histological features. An urgent need exists for a system and a set of biomarkers that provide an accurate diagnosis...
May 13, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/28526918/effect-of-problem-and-scripting-based-learning-on-spine-surgical-trainees-learning-outcomes
#2
Lin Cong, Qi Yan, Chenjing Sun, Yue Zhu, Guanjun Tu
PURPOSE: To assess the impact of problem and scripting-based learning (PSBL) on spine surgical trainees' learning outcomes. METHODS: 30 spine surgery postgraduate-year-1 residents (PGY-1s) from the First Hospital of China Medical University were randomly divided into two groups. The first group studied spine surgical skills and developed individual judgment under a conventional didactic model, whereas the PSBL group used PBL and Scripted model. A feedback questionnaire and the satisfaction of residents were evaluated by the first assistant surgeon immediately following each procedure...
May 19, 2017: European Spine Journal
https://www.readbyqxmd.com/read/28526878/a-data-mining-approach-using-cortical-thickness-for-diagnosis-and-characterization-of-essential-tremor
#3
J Ignacio Serrano, Juan P Romero, Ma Dolores Del Castillo, Eduardo Rocon, Elan D Louis, Julián Benito-León
Essential tremor (ET) is one of the most prevalent movement disorders. Being that it is a common disorder, its diagnosis is considered routine. However, misdiagnoses may occur regularly. Over the past decade, several studies have identified brain morphometric changes in ET, but these changes remain poorly understood. Here, we tested the informativeness of measuring cortical thickness for the purposes of ET diagnosis, applying feature selection and machine learning methods to a study sample of 18 patients with ET and 18 age- and sex-matched healthy control subjects...
May 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28526820/multi-label-learning-for-predicting-the-activities-of-antimicrobial-peptides
#4
Pu Wang, Ruiquan Ge, Liming Liu, Xuan Xiao, Ye Li, Yunpeng Cai
Antimicrobial peptides (AMPs) are peptide antibiotics with a broad spectrum of antimicrobial activities. Activity prediction of AMPs from their amino acid sequences is of great therapeutic importance but imposes challenges on prediction methods due to label interactions. In this paper we propose a novel multi-label learning model to address this problem. A weighted K-nearest neighbor classifier is adopted for efficient representation learning of the sequence data. A multiple linear regression model is then employed to learn a mapping from the classifier score vectors to the target labels, with label correlations considered...
May 19, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28526674/development-of-a-web-based-health-care-intervention-for-patients-with-heart-disease-lessons-learned-from-a-participatory-design-study
#5
Birgitte Noergaard, Marianne Sandvei, Nina Rottmann, Helle Johannessen, Uffe Wiil, Thomas Schmidt, Susanne S Pedersen
BACKGROUND: The use of telemedicine technologies in health care has increased substantially, together with a growing interest in participatory design methods when developing telemedicine approaches. OBJECTIVE: We present lessons learned from a case study involving patients with heart disease and health care professionals in the development of a personalized Web-based health care intervention. METHODS: We used a participatory design approach inspired by the method for feasibility studies in software development...
May 17, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28526190/disseminating-effective-clinician-communication-techniques-engaging-clinicians-to-want-to-learn-how-to-engage-patients
#6
Kathryn I Pollak, Anthony L Back, James A Tulsky
Patient-clinician communication that promotes patient engagement enhances health care quality. Yet, disseminating effective communication interventions to practicing clinicians remains challenging. Current methods do not have large and sustainable effects. In this paper, we argue that both top-down approaches (mandated by institutions) should be coupled with bottom-up approaches that address clinician motivation, confidence, and barriers. We need to engage clinicians in the same way we ask them to engage patients - strategically and with empathy...
May 9, 2017: Patient Education and Counseling
https://www.readbyqxmd.com/read/28525928/-indicators-for-speech-comprehension-in-migrant-children-a-comparison-of-extreme-groups
#7
Christiane Kiese-Himmel, Herbert Poinstingl, Nicole von Steinbüchel
Objective Children with migrant background learning German as second language are frequently considered having problems in speech comprehension and speaking; nevertheless, it is very difficult to objectify that for young children. For this purpose risk-factors should be determined empirically. Material and Methods The study comprised 126 children from a developmental longitudinal study in 7 day-care centers in Frankfurt/M and Darmstadt. The sample was sorted into two extreme groups by their achievement in oral German language comprehension: criterion T-score ≥46=age appropriate (N=61) vs...
May 19, 2017: Laryngo- Rhino- Otologie
https://www.readbyqxmd.com/read/28525811/an-online-supervised-learning-method-based-on-gradient-descent-for-spiking-neurons
#8
Yan Xu, Jing Yang, Shuiming Zhong
The purpose of supervised learning with temporal encoding for spiking neurons is to make the neurons emit a specific spike train encoded by precise firing times of spikes. The gradient-descent-based (GDB) learning methods are widely used and verified in the current research. Although the existing GDB multi-spike learning (or spike sequence learning) methods have good performance, they work in an offline manner and still have some limitations. This paper proposes an online GDB spike sequence learning method for spiking neurons that is based on the online adjustment mechanism of real biological neuron synapses...
April 27, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28525590/sdm-a-server-for-predicting-effects-of-mutations-on-protein-stability
#9
Arun Prasad Pandurangan, Bernardo Ochoa-Montaño, David B Ascher, Tom L Blundell
Here, we report a webserver for the improved SDM, used for predicting the effects of mutations on protein stability. As a pioneering knowledge-based approach, SDM has been highlighted as the most appropriate method to use in combination with many other approaches. We have updated the environment-specific amino-acid substitution tables based on the current expanded PDB (a 5-fold increase in information), and introduced new residue-conformation and interaction parameters, including packing density and residue depth...
May 19, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28525568/scenery-a-web-application-for-causal-network-reconstruction-from-cytometry-data
#10
Georgios Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Éliás, Jesper Tegnér, Ioannis Tsamardinos
Flow and mass cytometry technologies can probe proteins as biological markers in thousands of individual cells simultaneously, providing unprecedented opportunities for reconstructing networks of protein interactions through machine learning algorithms. The network reconstruction (NR) problem has been well-studied by the machine learning community. However, the potentials of available methods remain largely unknown to the cytometry community, mainly due to their intrinsic complexity and the lack of comprehensive, powerful and easy-to-use NR software implementations specific for cytometry data...
May 19, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28524747/health-care-students-at-an-argentinean-school-of-medicine-are-they-well-prepared-to-provide-quality-sexual-and-reproductive-health-services
#11
Belén Provenzano-Castro, Silvia Oizerovich, Babill Stray-Pedersen
OBJECTIVES: The aim of our study was to assess what students of the University of Buenos Aires School of Medicine learn about sexual and reproductive health (SRH) and rights, focusing particularly on their knowledge of accessibility to contraception and abortion legislation. METHODS: In this cross-sectional study, self-administered, anonymous questionnaires were administered to 760 first year students and to 695 final year students from different fields of study (medicine, midwifery, nursing, radiology, nutrition, speech therapy and physiotherapy) between 2011 and 2013...
May 19, 2017: European Journal of Contraception & Reproductive Health Care
https://www.readbyqxmd.com/read/28524327/evaluation-of-a-multi-methods-approach-to-the-collection-and-dissemination-of-feedback-on-osce-performance-in-dental-education
#12
M J Wardman, V C Yorke, J L Hallam
INTRODUCTION: Feedback is an essential part of the learning process, and students expect their feedback to be personalised, meaningful and timely. Objective Structured Clinical Examination (OSCE) assessments allow examiners to observe students carefully over the course of a number of varied station types, across a number of clinical knowledge and skill domains. They therefore present an ideal opportunity to record detailed feedback which allows students to reflect on and improve their performance...
May 19, 2017: European Journal of Dental Education: Official Journal of the Association for Dental Education in Europe
https://www.readbyqxmd.com/read/28524072/development-of-a-virtual-collision-sensor-for-industrial-robots
#13
Marina Indri, Stefano Trapani, Ivan Lazzero
Collision detection is a fundamental issue for the safety of a robotic cell. While several common methods require specific sensors or the knowledge of the robot dynamic model, the proposed solution is constituted by a virtual collision sensor for industrial manipulators, which requires as inputs only the motor currents measured by the standard sensors that equip a manipulator and the estimated currents provided by an internal dynamic model of the robot (i.e., the one used inside its controller), whose structure, parameters and accuracy are not known...
May 18, 2017: Sensors
https://www.readbyqxmd.com/read/28522971/altered-functional-connectivity-of-the-basal-nucleus-of-meynert-in-mild-cognitive-impairment-a-resting-state-fmri-study
#14
Hui Li, Xiuqin Jia, Zhigang Qi, Xiang Fan, Tian Ma, Hong Ni, Chiang-Shan R Li, Kuncheng Li
Background: Cholinergic dysfunction plays an important role in mild cognitive impairment (MCI). The basal nucleus of Meynert (BNM) provides the main source of cortical cholinergic innervation. Previous studies have characterized structural changes of the cholinergic basal forebrain in individuals at risk of developing Alzheimer's disease (AD). However, whether and how functional connectivity of the BNM (BNM-FC) is altered in MCI remains unknown. Objective: The aim of this study was to identify alterations in BNM-FC in individuals with MCI as compared to healthy controls (HCs), and to examine the relationship between these alterations with neuropsychological measures in individuals with MCI...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28522906/magnetic-anchor-guidance-for-endoscopic-submucosal-dissection-and-other-endoscopic-procedures
#15
REVIEW
Mohamed Mortagy, Neal Mehta, Mansour A Parsi, Seiichiro Abe, Tyler Stevens, John J Vargo, Yutaka Saito, Amit Bhatt
Endoscopic submucosal dissection (ESD) is a well-established, minimally invasive treatment for superficial neoplasms of the gastrointestinal tract. The universal adoption of ESD has been limited by its slow learning curve, long procedure times, and high risk of complications. One technical challenge is the lack of a second hand that can provide traction, as in conventional surgery. Reliable tissue retraction that exposes the submucosal plane of dissection would allow for safer and more efficient dissection...
April 28, 2017: World Journal of Gastroenterology: WJG
https://www.readbyqxmd.com/read/28522849/carcinopred-el-novel-models-for-predicting-the-carcinogenicity-of-chemicals-using-molecular-fingerprints-and-ensemble-learning-methods
#16
Li Zhang, Haixin Ai, Wen Chen, Zimo Yin, Huan Hu, Junfeng Zhu, Jian Zhao, Qi Zhao, Hongsheng Liu
Carcinogenicity refers to a highly toxic end point of certain chemicals, and has become an important issue in the drug development process. In this study, three novel ensemble classification models, namely Ensemble SVM, Ensemble RF, and Ensemble XGBoost, were developed to predict carcinogenicity of chemicals using seven types of molecular fingerprints and three machine learning methods based on a dataset containing 1003 diverse compounds with rat carcinogenicity. Among these three models, Ensemble XGBoost is found to be the best, giving an average accuracy of 70...
May 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28522119/neural-changes-in-alzheimer-s-disease-from-circuit-to-molecule-perspective-of-optogenetics
#17
REVIEW
Qinghu Yang, Da Song, Hong Qing
Alzheimer's disease (AD), as a crucial neurodegenerative disorder, affects neural activities at many levels. Synaptic plasticity and neural circuits are most susceptible in AD, but the detailed mechanism is unclear. Optogenetic tools provide unprecedented spatio-temporal specificity to stimulate specific neural circuits or synaptic molecules to reveal the precise function of normal brain and mechanism of deficits in AD models. Furthermore, using optogenetics to stimulate neurons can rescue learning and memory loss caused by AD...
May 15, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28522086/correlates-of-sleep-quality-in-midlife-and-beyond-a-machine-learning-analysis
#18
Katherine A Kaplan, Prajesh P Hardas, Susan Redline, Jamie M Zeitzer
OBJECTIVES: In older adults, traditional metrics derived from polysomnography (PSG) are not well correlated with subjective sleep quality. Little is known about whether the association between PSG and subjective sleep quality changes with age, or whether quantitative electroencephalography (qEEG) is associated with sleep quality. Therefore, we examined the relationship between subjective sleep quality and objective sleep characteristics (standard PSG and qEEG) across middle to older adulthood...
June 2017: Sleep Medicine
https://www.readbyqxmd.com/read/28521768/development-of-a-written-assessment-for-a-national-interprofessional-cardiotocography-education-program
#19
Line Thellesen, Thomas Bergholt, Morten Hedegaard, Nina Palmgren Colov, Karl Bang Christensen, Kristine Sylvan Andersen, Jette Led Sorensen
BACKGROUND: To reduce the incidence of hypoxic brain injuries among newborns a national cardiotocography (CTG) education program was implemented in Denmark. A multiple-choice question test was integrated as part of the program. The aim of this article was to describe and discuss the test development process and to introduce a feasible method for written test development in general. METHODS: The test development was based on the unitary approach to validity. The process involved national consensus on learning objectives, standardized item writing, pilot testing, sensitivity analyses, standard setting and evaluation of psychometric properties using Item Response Theory models...
May 18, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28521559/the-effectiveness-of-the-internship-in-meeting-established-learning-objectives-a-qualitative-study
#20
Susannah Ahern, Katharine Reid, Meredith Temple-Smith, Geoffrey J McColl
OBJECTIVE: To identify and explore variations in intern (Postgraduate Year 1 doctors) exposure to clinical activities defined by an established early postgraduate curriculum within the contemporary health service environment. METHODS: A mixed methods study was undertaken in seven health services comprising (1) a questionnaire regarding interns' exposure to a range of clinical activities within a two-year early post-graduate curriculum and (2) group interviews with intern supervisors and managers to explore barriers and facilitators of interns' clinical exposure...
May 18, 2017: Medical Teacher
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