keyword
MENU ▼
Read by QxMD icon Read
search

System based learning

keyword
https://www.readbyqxmd.com/read/29912893/a-heterogeneous-artificial-stock-market-model-can-benefit-people-against-another-financial-crisis
#1
Haijun Yang, Shuheng Chen
This paper presents results of an artificial stock market and tries to make it more consistent with the statistical features of real stock data. Based on the SFI-ASM, a novel model is proposed to make agents more close to the real world. Agents are divided into four kinds in terms of different learning speeds, strategy-sizes, utility functions, and level of intelligence; and a crucial parameter has been found to ensure system stability. So, some parameters are appended to make the model which contains zero-intelligent and less-intelligent agents run steadily...
2018: PloS One
https://www.readbyqxmd.com/read/29909757/pilot-study-detection-of-gastric-cancer-from-exhaled-air-analyzed-with-an-electronic-nose-in-chinese-patients
#2
Valérie N E Schuermans, Ziyu Li, Audrey C H M Jongen, Zhouqiao Wu, Jinyao Shi, Jiafu Ji, Nicole D Bouvy
The aim of this pilot study is to investigate the ability of an electronic nose (e-nose) to distinguish malignant gastric histology from healthy controls in exhaled breath. In a period of 3 weeks, all preoperative gastric carcinoma (GC) patients (n = 16) in the Beijing Oncology Hospital were asked to participate in the study. The control group (n = 28) consisted of family members screened by endoscopy and healthy volunteers. The e-nose consists of 3 sensors with which volatile organic compounds in the exhaled air react...
June 1, 2018: Surgical Innovation
https://www.readbyqxmd.com/read/29909257/practice-and-effectiveness-of-web-based-problem-based-learning-approach-in-a-large-class-size-system-a-comparative-study
#3
Yongxia Ding, Peili Zhang
Problem-based learning (PBL) is an effective and highly efficient teaching approach that is extensively applied in education systems across a variety of countries. This study aimed to investigate the effectiveness of web-based PBL teaching pedagogies in large classes. The cluster sampling method was used to separate two college-level nursing student classes (graduating class of 2013) into two groups. The experimental group (n = 162) was taught using a web-based PBL teaching approach, while the control group (n = 166) was taught using conventional teaching methods...
June 12, 2018: Nurse Education in Practice
https://www.readbyqxmd.com/read/29909114/predicting-survival-from-large-echocardiography-and-electronic-health-record-datasets-optimization-with-machine-learning
#4
Manar D Samad, Alvaro Ulloa, Gregory J Wehner, Linyuan Jing, Dustin Hartzel, Christopher W Good, Brent A Williams, Christopher M Haggerty, Brandon K Fornwalt
OBJECTIVES: The goal of this study was to use machine learning to more accurately predict survival after echocardiography. BACKGROUND: Predicting patient outcomes (e.g., survival) following echocardiography is primarily based on ejection fraction (EF) and comorbidities. However, there may be significant predictive information within additional echocardiography-derived measurements combined with clinical electronic health record data. METHODS: Mortality was studied in 171,510 unselected patients who underwent 331,317 echocardiograms in a large regional health system...
June 9, 2018: JACC. Cardiovascular Imaging
https://www.readbyqxmd.com/read/29908477/recreational-use-in-dispersed-public-lands-measured-using-social-media-data-and-on-site-counts
#5
David M Fisher, Spencer A Wood, Eric M White, Dale J Blahna, Sarah Lange, Alex Weinberg, Michael Tomco, Emilia Lia
Outdoor recreation is one of many important benefits provided by public lands. Data on recreational use are critical for informing management of recreation resources, however, managers often lack actionable information on visitor use for large protected areas that lack controlled access points. The purpose of this study is to explore the potential for social media data (e.g., geotagged images shared on Flickr and trip reports shared on a hiking forum) to provide land managers with useful measures of recreational use to dispersed areas, and to provide lessons learned from comparing several more traditional counting methods...
June 13, 2018: Journal of Environmental Management
https://www.readbyqxmd.com/read/29908150/microscopy-in-infectious-disease-research-imaging-across-scales
#6
REVIEW
Vibor Laketa
A comprehensive understanding of host-pathogen interactions requires quantitative assessment of molecular events across a wide range of spatiotemporal scales and organizational complexities. Due to recent technical developments, this is currently only achievable with microscopy. This article is providing a general perspective on the importance of microscopy in infectious disease research, with a focus on new imaging modalities that promise to have a major impact in biomedical research in the years to come. Every major technological breakthrough in light microscopy depends on, and is supported by, advancements in computing and information technologies...
June 13, 2018: Journal of Molecular Biology
https://www.readbyqxmd.com/read/29906639/development-of-a-machine-learning-model-to-predict-gibbs-free-energy-of-binding-for-protein-ligand-complexes
#7
Gabriela Bitencourt-Ferreira, Walter Filgueira de Azevedo
The possibility of using the atomic coordinates of protein-ligand complexes to assess binding affinity has a beneficial impact in the early stages of drug development and design. From the computational view, the creation of reliable scoring functions is still an open problem in the simulation of biological systems, and the development of a new generation machine-learning model is an active research field. In this work, we propose a novel scoring function to predict Gibbs free energy of binding (ΔG) based on the crystallographic structure of complexes involving a protein and an active ligand...
June 7, 2018: Biophysical Chemistry
https://www.readbyqxmd.com/read/29906585/medical-concept-normalization-in-social-media-posts-with-recurrent-neural-networks
#8
Elena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, Valentin Malykh
Text mining of scientific libraries and social media has already proven itself as a reliable tool for drug repurposing and hypothesis generation. The task of mapping a disease mention to a concept in a controlled vocabulary, typically to the standard thesaurus in the Unified Medical Language System (UMLS), is known as medical concept normalization. This task is challenging due to the differences in the use of medical terminology between health care professionals and social media texts coming from the lay public...
June 12, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29904814/dashboards-for-therapeutic-monoclonal-antibodies-learning-and-confirming
#9
Diane R Mould, Richard N Upton, Jessica Wojciechowski, Becky L Phan, Stacy Tse, Marla C Dubinsky
Inflammatory diseases (ID) are incurable, progressive diseases. Literature evidence cites increasing incidence of these diseases worldwide. When treatments with chemical immunosuppressive agents fail, patients are often treated with monoclonal antibodies (MAbs). However, MAb failure rates are generally high, with approximately half the patients being discontinued within 4 years, necessitating switching to another MAb. One potential cause of treatment failure is subtherapeutic exposure. Several studies demonstrated associations between trough MAb concentrations and clinical response, supporting the notion that improving drug exposure may result in improved outcomes...
June 14, 2018: AAPS Journal
https://www.readbyqxmd.com/read/29904616/artificial-intelligence-in-medicine-and-radiation-oncology
#10
REVIEW
Vincent Weidlich, Georg A Weidlich
Artifical Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations...
April 13, 2018: Curēus
https://www.readbyqxmd.com/read/29904527/first-year-course-based-undergraduate-research-experience-cure-using-the-crispr-cas9-genome-engineering-technology-in-zebrafish
#11
Jay M Bhatt, Anil Kumar Challa
Genetic analysis in model systems can provide a rich context for conceptual understanding of gene structure, regulation, and function. With an intent to create a rich learning experience in molecular genetics, we developed a semester-long course-based undergraduate research experience (CURE) using the CRISPR-Cas9 gene editing system to disrupt specific genes in the zebrafish. The course was offered to freshman students; nine students worked in four groups (two to three members per group) to design, synthesize, and test the nuclease activity of the CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)/sgRNAs for targeted disruption of specific genes in the zebrafish...
2018: Journal of Microbiology & Biology Education: JMBE
https://www.readbyqxmd.com/read/29904096/the-relationship-between-reinforcement-and-explicit-control-during-visuomotor-adaptation
#12
Olivier Codol, Peter J Holland, Joseph M Galea
The motor system's ability to adapt to environmental changes is essential for maintaining accurate movements. Such adaptation recruits several distinct systems: cerebellar sensory-prediction error learning, success-based reinforcement, and explicit control. Although much work has focused on the relationship between cerebellar learning and explicit control, there is little research regarding how reinforcement and explicit control interact. To address this, participants first learnt a 20° visuomotor displacement...
June 14, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29903487/improved-lung-nodule-diagnosis-accuracy-using-lung-ct-images-with-uncertain-class
#13
Zhiqiong Wang, Junchang Xin, Peishun Sun, Zhixiang Lin, Yudong Yao, Xiaosong Gao
BACKGROUND AND OBJECTIVE: Among all malignant tumors, lung cancer ranks in the top in mortality rate. Pulmonary nodule is the early manifestation of lung cancer, and plays an important role in its discovery, diagnosis and treatment. The technology of medical imaging has encountered a rapid development in recent years, thus the amount of pulmonary nodules can be discovered are on the raise, which means even tiny or minor changes in lung can be recorded by the CT images. This paper proposes a pulmonary nodule computer aided diagnosis (CAD) based on semi-supervised extreme learning machine(SS-ELM)...
August 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29903485/a-quasi-probabilistic-distribution-model-for-eeg-signal-classification-by-using-2-d-signal-representation
#14
Cagatay Murat Yilmaz, Cemal Kose, Bahar Hatipoglu
BACKGROUND AND OBJECTIVE: Electroencephalography (EEG) is a method that measures and records the electrical activity of the human brain. These biomedical signals are currently being actively used in many research fields and have a wide range of potential uses in brain-computer interfaces (BCIs). The main aim of the present work is to improve the classification of EEG patterns for EEG-based BCI systems. METHODS: In this paper, we presented a classification approach for EEG-based BCIs...
August 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29903476/convolutional-neural-network-based-pso-for-lung-nodule-false-positive-reduction-on-ct-images
#15
Giovanni Lucca França da Silva, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass
BACKGROUND AND OBJECTIVE: Detection of lung nodules is critical in CAD systems; this is because of their similar contrast with other structures and low density, which result in the generation of numerous false positives (FPs). Therefore, this study proposes a methodology to reduce the FP number using a deep learning technique in conjunction with an evolutionary technique. METHOD: The particle swarm optimization (PSO) algorithm was used to optimize the network hyperparameters in the convolutional neural network (CNN) in order to enhance the network performance and eliminate the requirement of manual search...
August 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29903448/historic-notes-on-anatomic-physiologic-and-clinical-research-on-the-cerebellum
#16
Jan Voogd, Peter J Koehler
This chapter is concerned with ideas on the function, structure, and pathology that shaped our present knowledge of the cerebellum. One of the main themes in its early history is its localization subtentorially, leading to misattributions due to clinical observations in trauma and lesion experiments that caused collateral damage to the brainstem. Improvement of techniques led to the insight that it plays a role in movement control (Rolando) or coordination (Flourens). Purkinje initiated the histology of the cerebellar cortex in 1837...
2018: Handbook of Clinical Neurology
https://www.readbyqxmd.com/read/29903429/simulation-based-research-to-improve-infant-health-outcomes-using-the-infant-simulator-to-prevent-infant-shaking
#17
Kirsten Bechtel
Simulation is a technique that creates a situation or environment to allow persons to experience a representation of a real event for the purpose of practice, learning, evaluation, testing, or to gain understanding of systems or human actions. We will first provide an introduction to simulation in healthcare and describe the two types of simulation-based research (SBR) in the pediatric population. We will then provide an overview of the use of SBR to improve health outcomes for infants in health care settings and to improve parent-child interactions using the infant simulator...
June 11, 2018: Infant Behavior & Development
https://www.readbyqxmd.com/read/29903036/migrants-access-to-healthcare-services-within-the-european-union-a-content-analysis-of-policy-documents-in-ireland-portugal-and-spain
#18
REVIEW
Céline Ledoux, Eva Pilot, Esperanza Diaz, Thomas Krafft
BACKGROUND: The current migration flow into Europe is leading to a growing ethnically diverse population in many European countries. Now more than ever, those populations have different healthcare needs, languages, traditions, and previous level of care. This higher level of diversity is likely to increase health inequalities that might challenge healthcare systems if not addressed. In this context, this study aims at reviewing the policy framework for migrants' access to healthcare in Spain, Portugal and Ireland, countries with a long history of immigration, to identify lessons to be learned for policies on migrants' health...
June 15, 2018: Globalization and Health
https://www.readbyqxmd.com/read/29902062/coding-with-r-pas-does-prior-training-with-the-exner-comprehensive-system-impact-interrater-reliability-compared-to-those-examiners-with-only-r-pas-based-training
#19
J H Lewey, T M Kivisalu, L Giromini
The Rorschach Inkblot Method (RIM) is a performance-based personality assessment instrument used in both clinical and research settings worldwide. This investigation examines response-level, interrater reliability of U.S. graduate students enrolled in the same doctoral program and divided into two unique participant groups: 20 of those with previous Comprehensive System (CS) training background who are now trained in Rorschach Performance Assessment System (R-PAS; initial coders N = 11, blind coders N = 9), and 19 of those trained solely with R-PAS (initial coders N = 10, blind coders N = 9)...
June 14, 2018: Journal of Personality Assessment
https://www.readbyqxmd.com/read/29901853/deep-learning-based-computer-aided-classifier-developed-with-a-small-dataset-of-clinical-images-surpasses-board-certified-dermatologists-in-skin-tumor-diagnosis
#20
Y Fujisawa, Y Otomo, Y Ogata, Y Nakamura, R Fujita, Y Ishitsuka, R Watanabe, N Okiyama, K Ohara, M Fujimoto
BACKGROUND: Application of deep-learning technology to skin cancer classification can potentially improve skin cancer screening sensitivity and specificity, but the number of training images required for such system is thought to be extremely large. OBJECTIVE: To determine if deep-learning technology could be used to develop an efficient skin cancer classifying system with a relatively small dataset of clinical images. METHODS: A deep convolutional neural network (DCNN) was trained using a dataset of 4867 clinical images obtained from 1842 patients diagnosed with skin tumors at the University of Tsukuba Hospital from 2003 to 2016...
June 14, 2018: British Journal of Dermatology
keyword
keyword
44447
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"