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System based learning

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https://www.readbyqxmd.com/read/28822349/the-icrc-am-pm-database-challenges-in-forensic-data-management-in-the-humanitarian-sphere
#1
Ute Hofmeister, Shuala S Martin, Carlos Villalobos, Juliana Padilla, Oran Finegan
Large-scale forensic investigations should include a robust data management system with software capable of performing all tasks relevant to achieving the objectives of the investigation. Data management involves the collection, archiving, analysis and reporting of data. A successful data management system requires the development of protocols, procedures and policies, such as on data protection, as well as tools, including software. Adequate training for staff is also required, along with strict quality control and assurance regimens...
July 27, 2017: Forensic Science International
https://www.readbyqxmd.com/read/28821842/direct-learning-hidden-excited-state-interaction-patterns-from-ab-initio-dynamics-and-its-implication-as-alternative-molecular-mechanism-models
#2
Fang Liu, Likai Du, Dongju Zhang, Jun Gao
The excited states of polyatomic systems are rather complex, and often exhibit meta-stable dynamical behaviors. Static analysis of reaction pathway often fails to sufficiently characterize excited state motions due to their highly non-equilibrium nature. Here, we proposed a time series guided clustering algorithm to generate most relevant meta-stable patterns directly from ab initio dynamic trajectories. Based on the knowledge of these meta-stable patterns, we suggested an interpolation scheme with only a concrete and finite set of known patterns to accurately predict the ground and excited state properties of the entire dynamics trajectories, namely, the prediction with ensemble models (PEM)...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28821822/bladder-cancer-treatment-response-assessment-in-ct-using-radiomics-with-deep-learning
#3
Kenny H Cha, Lubomir Hadjiiski, Heang-Ping Chan, Alon Z Weizer, Ajjai Alva, Richard H Cohan, Elaine M Caoili, Chintana Paramagul, Ravi K Samala
Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. However, for some malignancies such as urinary bladder cancer, the ability to accurately assess local extent of the disease and understand response to systemic chemotherapy is limited with current imaging approaches. In this study, we explored the feasibility that radiomics-based predictive models using pre- and post-treatment computed tomography (CT) images might be able to distinguish between bladder cancers with and without complete chemotherapy responses...
August 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28821546/a-supervised-statistical-learning-approach-for-accurate-legionella-pneumophila-source-attribution-during-outbreaks
#4
Andrew H Buultjens, Kyra Y L Chua, Sarah L Baines, Jason Kwong, Wei Gao, Zoe Cutcher, Stuart Adcock, Susan Ballard, Mark B Schultz, Takehiro Tomita, Nela Subasinghe, Glen P Carter, Sacha J Pidot, Lucinda Franklin, Torsten Seemann, Anders Gonçalves Da Silva, Benjamin P Howden, Timothy P Stinear
Public health agencies are increasingly relying on genomics during Legionnaires' disease investigations. However, the causative bacterium (Legionella pneumophila) has an unusual population structure with extreme temporal and spatial genome sequence conservation. Furthermore, Legionnaires' disease outbreaks can be caused by multiple L. pneumophila genotypes in a single source. These factors can confound cluster identification using standard phylogenomic methods. Here, we show that a statistical learning approach based onL...
August 18, 2017: Applied and Environmental Microbiology
https://www.readbyqxmd.com/read/28820438/tree-alignment-based-on-needleman-wunsch-algorithm-for-sensor-selection-in-smart-homes
#5
Sook-Ling Chua, Lee Kien Foo
Activity recognition in smart homes aims to infer the particular activities of the inhabitant, the aim being to monitor their activities and identify any abnormalities, especially for those living alone. In order for a smart home to support its inhabitant, the recognition system needs to learn from observations acquired through sensors. One question that often arises is which sensors are useful and how many sensors are required to accurately recognise the inhabitant's activities? Many wrapper methods have been proposed and remain one of the popular evaluators for sensor selection due to its superior accuracy performance...
August 18, 2017: Sensors
https://www.readbyqxmd.com/read/28818249/health-literacy-cancer-prevention-strategies-for-early-adults
#6
Robert A Simmons, Susan C Cosgrove, Martha C Romney, James D Plumb, Rickie O Brawer, Evelyn T Gonzalez, Linda G Fleisher, Bradley S Moore
Health literacy, the degree to which individuals have the capacity to obtain, process, and understand health information and services needed to make health decisions, is an essential element for early adults (aged 18-44 years) to make informed decisions about cancer. Low health literacy is one of the social determinants of health associated with cancer-related disparities. Over the past several years, a nonprofit organization, a university, and a cancer center in a major urban environment have developed and implemented health literacy programs within healthcare systems and in the community...
September 2017: American Journal of Preventive Medicine
https://www.readbyqxmd.com/read/28817618/national-scale-cropland-mapping-based-on-spectral-temporal-features-and-outdated-land-cover-information
#7
François Waldner, Matthew C Hansen, Peter V Potapov, Fabian Löw, Terence Newby, Stefanus Ferreira, Pierre Defourny
The lack of sufficient ground truth data has always constrained supervised learning, thereby hindering the generation of up-to-date satellite-derived thematic maps. This is all the more true for those applications requiring frequent updates over large areas such as cropland mapping. Therefore, we present a method enabling the automated production of spatially consistent cropland maps at the national scale, based on spectral-temporal features and outdated land cover information. Following an unsupervised approach, this method extracts reliable calibration pixels based on their labels in the outdated map and their spectral signatures...
2017: PloS One
https://www.readbyqxmd.com/read/28816912/distance-learning-adhd-quality-improvement-in-primary-care-a-cluster-randomized-trial
#8
Alexander G Fiks, Stephanie L Mayne, Jeremy J Michel, Jeffrey Miller, Manju Abraham, Andrew Suh, Abbas F Jawad, James P Guevara, Robert W Grundmeier, Nathan J Blum, Thomas J Power
OBJECTIVE: To evaluate a distance-learning, quality improvement intervention to improve pediatric primary care provider use of attention-deficit/hyperactivity disorder (ADHD) rating scales. METHODS: Primary care practices were cluster randomized to a 3-part distance-learning, quality improvement intervention (web-based education, collaborative consultation with ADHD experts, and performance feedback reports/calls), qualifying for Maintenance of Certification (MOC) Part IV credit, or wait-list control...
August 9, 2017: Journal of Developmental and Behavioral Pediatrics: JDBP
https://www.readbyqxmd.com/read/28816910/acceptability-of-group-visits-for-attention-deficit-hyperactivity-disorder-in-pediatric-clinics
#9
Nerissa S Bauer, Nina Azer, Paula D Sullivan, Dorota Szczepaniak, Sarah M Stelzner, Stephen M Downs, Aaron E Carroll
OBJECTIVE: Children with attention-deficit hyperactivity disorder (ADHD) have ongoing needs that impair home and school functioning. Group visit models are a promising way to deliver timely parenting support but family and provider acceptance has not previously been examined. The objective was to describe the acceptability of ADHD group visits in busy pediatric clinics based on caregivers, child participants and facilitators. METHODS: Data were analyzed from school-age children and caregivers who participated in one of two 12-month long randomized controlled studies of the ADHD group visit model from 2012 to 2013 or 2014 to 2015...
August 11, 2017: Journal of Developmental and Behavioral Pediatrics: JDBP
https://www.readbyqxmd.com/read/28816702/as-above-so-below-towards-understanding-inverse-models-in-bci
#10
Jussi T Lindgren
In Brain-Computer Interfaces (BCI), measurements of the users brain activity are classified into commands for the computer. With EEG-based BCIs, the origins of the classified phenomena are often considered to be spatially localized in the cortical volume and mixed in the EEG. Does the reconstruction of the source activities in the volume help in building more accurate BCIs? The answer remains inconclusive despite previous work. In this paper, we study the question by contrasting the physiology-driven source reconstruction with data-driven representations obtained by statistical machine learning...
August 17, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28816675/adaboost-llp-a-boosting-method-for-learning-with-label-proportions
#11
Zhiquan Qi, Fan Meng, Yingjie Tian, Lingfeng Niu, Yong Shi, Peng Zhang
How to solve the classification problem with only label proportions has recently drawn increasing attention in the machine learning field. In this paper, we propose an ensemble learning strategy to deal with the learning problem with label proportions (LLP). In detail, we first give a loss function based on different weights for LLP, and then construct the corresponding weak classifier, at the same time, estimate its conditional probabilities by a standard logistic function. At last, by introducing the maximum likelihood estimation, we propose a new anyboost learning system for LLP (called Adaboost-LLP)...
August 15, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28816519/the-effects-of-exercise-on-a-choice-reaction-time-task-in-individuals-with-post-concussion-syndrome
#12
Stephanie A Ramautar, Alyssa A Prangley, Michael E Cinelli
PURPOSE: To assess cognitive performance differences pre- and post-exercise in individuals without concussion (non-concussed, NC) and individuals with post-concussion syndrome (PCS). METHODS: A total of 30 participants completed a choice reaction time (CRT) task in the form of an iPad application, measuring each individual's decision-making capabilities, while wearing a head-mounted eye tracker system. Participants completed four blocks of testing; the time interval between the first two blocks of trials and the last two blocks of trials was 10 minutes...
August 17, 2017: Brain Injury: [BI]
https://www.readbyqxmd.com/read/28816513/iterative-design-and-testing-for-the-development-of-a-game-based-chlamydia-awareness-intervention-a-pilot-study
#13
Rui Jiang, James McKanna, Samantha Calabrese, Magy Seif El-Nasr
OBJECTIVES: Herein we describe a methodology for developing a game-based intervention to raise awareness of Chlamydia and other sexually transmitted infections among youth in Boston's underserved communities. MATERIALS AND METHODS: We engaged in three design-based experiments. These utilized mixed methods, including playtesting and assessment methods, to examine the overall effectiveness of the game. In this case, effectiveness is defined as (1) engaging the target group, (2) increasing knowledge about Chlamydia, and (3) changing attitudes toward Chlamydia testing...
August 2017: Games for Health
https://www.readbyqxmd.com/read/28816511/virtual-reality-and-active-videogame-based-practice-learning-needs-and-preferences-a-cross-canada-survey-of-physical-therapists-and-occupational-therapists
#14
Danielle Levac, Stephanie Glegg, Heather Colquhoun, Patricia Miller, Farzad Noubary
OBJECTIVE: Describe the clinical use of virtual reality (VR)/active videogaming (AVG) by physical therapists (PTs) and occupational therapists (OTs) in Canada, identify usage barriers and facilitators, evaluate factors that predict intention to use VR/AVGs, and determine therapists' learning needs. DESIGN: Cross-sectional survey. MATERIALS AND METHODS: Online survey of therapists in Canada who were members of 1 of 26 professional PT or OT colleges or associations using the Assessing Determinants Of Prospective Take-up of Virtual Reality (ADOPT-VR2) Instrument...
August 2017: Games for Health
https://www.readbyqxmd.com/read/28816218/continuing-professional-development-of-doctors
#15
Tejinder Singh
After graduating from medical school, all doctors need to undertake some training activities lifelong to maintain, update or develop their knowledge, skills and attitudes towards their professional practice. Continuing professional development (CPD) refers to continuing development of medical and non- medical competencies including professionalism, and interpersonal, managerial and communication skills. There is no single correct way of doing CPD. Most learning in CPD is self-directed and based on one's own learning needs...
March 2017: National Medical Journal of India
https://www.readbyqxmd.com/read/28815994/imrt-qa-using-machine-learning-a-multi-institutional-validation
#16
Gilmer Valdes, Maria F Chan, Seng Boh Lim, Ryan Scheuermann, Joseph O Deasy, Timothy D Solberg
PURPOSE: To validate a machine learning approach to Virtual intensity-modulated radiation therapy (IMRT) quality assurance (QA) for accurately predicting gamma passing rates using different measurement approaches at different institutions. METHODS: A Virtual IMRT QA framework was previously developed using a machine learning algorithm based on 498 IMRT plans, in which QA measurements were performed using diode-array detectors and a 3%local/3 mm with 10% threshold at Institution 1...
August 17, 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28815260/-improving-the-teaching-quality-by-multiple-tools-and-technology-in-oral-histopathology-experimental-course
#17
Zhen Tian, Li-Zhen Wang, Yu-Hua Hu, Chun-Ye Zhang, Jiang Li
PURPOSES: Oral histopathology is a course which needs to be combined with theory and practice closely. Experimental course plays an important role in teaching oral histopathology. Here, we aim to explore a series of effective measures to improve the teaching quality of experimental course and tried to train observation, thinking, analysis and problem solving skills of dental students. METHODS: We re-edited and updated the experimental textbook "guidelines of experimental course of oral histopathology", and published the reference book for experimental course--"color pocket atlas of oral histopathology: experiment and diadactic teaching"...
April 2017: Shanghai Kou Qiang Yi Xue, Shanghai Journal of Stomatology
https://www.readbyqxmd.com/read/28815204/pathology-competencies-for-medical-education-and-educational-cases
#18
Barbara E C Knollmann-Ritschel, Donald P Regula, Michael J Borowitz, Richard Conran, Michael B Prystowsky
Current medical school curricula predominantly facilitate early integration of basic science principles into clinical practice to strengthen diagnostic skills and the ability to make treatment decisions. In addition, they promote life-long learning and understanding of the principles of medical practice. The Pathology Competencies for Medical Education (PCME) were developed in response to a call to action by pathology course directors nationwide to teach medical students pathology principles necessary for the practice of medicine...
January 2017: Acad Pathol
https://www.readbyqxmd.com/read/28815135/active-deep-learning-based-annotation-of-electroencephalography-reports-for-cohort-identification
#19
Ramon Maldonado, Travis R Goodwin, Sanda M Harabagiu
The annotation of a large corpus of Electroencephalography (EEG) reports is a crucial step in the development of an EEG-specific patient cohort retrieval system. The annotation of multiple types of EEG-specific medical concepts, along with their polarity and modality, is challenging, especially when automatically performed on Big Data. To address this challenge, we present a novel framework which combines the advantages of active and deep learning while producing annotations that capture a variety of attributes of medical concepts...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28814025/learning-from-demonstration-teaching-a-myoelectric-prosthesis-with-an-intact-limb-via-reinforcement-learning
#20
Gautham Vasan, Patrick M Pilarski
Prosthetic arms should restore and extend the capabilities of someone with an amputation. They should move naturally and be able to perform elegant, coordinated movements that approximate those of a biological arm. Despite these objectives, the control of modern-day prostheses is often nonintuitive and taxing. Existing devices and control approaches do not yet give users the ability to effect highly synergistic movements during their daily-life control of a prosthetic device. As a step towards improving the control of prosthetic arms and hands, we introduce an intuitive approach to training a prosthetic control system that helps a user achieve hard-to-engineer control behaviours...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
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