Read by QxMD icon Read

Methods of Information in Medicine

Aurelie Petit-Monéger, Florence Saillour-Glénisson, Karine Nouette-Gaulain, Vianney Jouhet, Louis-Rachid Salmi
OBJECTIVES: Although graphical formats used to feedback clinical practice data may have an important impact, the most effective formats remain unknown. Using prevention of postoperative nausea and vomiting by anesthesiologists as an application, the objective of this study was to assess which graphical formats for feedback of clinical practice data are the most incentive to change practice. METHODS: We conducted a multicenter cross-sectional study among anesthesiologists randomized in two groups between March and June 2014...
October 7, 2016: Methods of Information in Medicine
Vincent T van Hees, Kathrin Thaler-Kall, Klaus-Hendrik Wolf, Jan C Brønd, Alberto Bonomi, Mareike Schulze, Matthäus Vigl, Bente Morseth, Laila Arnesdatter Hopstock, Lukas Gorzelniak, Holger Schulz, Søren Brage, Alexander Horsch
OBJECTIVES: Raw accelerometry is increasingly being used in physical activity research, but diversity in sensor design, attachment and signal processing challenges the comparability of research results. Therefore, efforts are needed to harmonize the methodology. In this article we reflect on how increased methodological harmonization may be achieved. METHODS: The authors of this work convened for a two-day workshop (March 2014) themed on methodological harmonization of raw accelerometry...
October 7, 2016: Methods of Information in Medicine
Su H Hwang, Yu J Lee, Do U Jeong, Kwang S Park
OBJECTIVES: The aim of this study is to establish a sleep monitoring method that can classify sleep into four stages in an unconstrained manner using a polyvinylidene fluoride (PVDF) sensor for continuous and accurate estimation of sleep stages. METHODS: The study participants consisted of 12 normal subjects and 13 obstructive sleep apnea (OSA) patients. The physiological signals of the subjects were unconstrainedly measured using the PVDF sensor during polysomnography...
September 14, 2016: Methods of Information in Medicine
Ching-Heng Lin, Ying-Chih Lo, Pei-Yuan Hung, Der-Ming Liou
BACKGROUND: As a result of the disease's high prevalence, chronic kidney disease (CKD) has become a global public health problem. A clinical decision support system that integrates with computer-interpretable guidelines (CIGs) should improve clinical outcomes and help to ensure patient safety. OBJECTIVES: The openEHR guideline definition language (GDL) is a formal language used to represent CIGs. This study explores the feasibility of using a GDL approach for CKD; it also attempts to identify any potential gaps between the ideal concept and reality...
September 2, 2016: Methods of Information in Medicine
Manal Almalki, Kathleen Gray, Fernando J Martin-Sanchez
BACKGROUND: Questions like 'How is your health? How are you feeling? How have you been?' now can be answered in a different way due to innovative health self-quantification apps and devices. These apps and devices generate data that enable individuals to be informed and more responsible about their own health. OBJECTIVES: The aim of this paper is to review studies on health SQ, firstly, exploring the concepts that are associated with the users' interaction with and around data for managing health; and secondly, the potential benefits and challenges that are associated with the use of such data to maintain or promote health, as well as their impact on the users' certainty or confidence in taking effective actions upon such data...
August 15, 2016: Methods of Information in Medicine
Fernando García-García, Pedro J Benito, María E Hernando
BACKGROUND: Physical activity (PA) is essential to prevent and to treat a variety of chronic diseases. The automated detection and quantification of PA over time empowers lifestyle interventions, facilitating reliable exercise tracking and data-driven counseling. METHODS: We propose and compare various combinations of machine learning (ML) schemes for the automatic classification of PA from multi-modal data, simultaneously captured by a biaxial accelerometer and a heart rate (HR) monitor...
August 5, 2016: Methods of Information in Medicine
Tobias Hepp, Matthias Schmid, Olaf Gefeller, Elisabeth Waldmann, Andreas Mayr
BACKGROUND: Penalization and regularization techniques for statistical modeling have attracted increasing attention in biomedical research due to their advantages in the presence of high-dimensional data. A special focus lies on algorithms that incorporate automatic variable selection like the least absolute shrinkage operator (lasso) or statistical boosting techniques. OBJECTIVES: Focusing on the linear regression framework, this article compares the two most-common techniques for this task, the lasso and gradient boosting, both from a methodological and a practical perspective...
October 17, 2016: Methods of Information in Medicine
Hau-Tieng Wu, Gregory F Lewis, Maria I Davila, Ingrid Daubechies, Stephen W Porges
BACKGROUND: With recent advances in sensor and computer technologies, the ability to monitor peripheral pulse activity is no longer limited to the laboratory and clinic. Now inexpensive sensors, which interface with smartphones or other computer-based devices, are expanding into the consumer market. When appropriate algorithms are applied, these new technologies enable ambulatory monitoring of dynamic physiological responses outside the clinic in a variety of applications including monitoring fatigue, health, workload, fitness, and rehabilitation...
October 17, 2016: Methods of Information in Medicine
Hui-Chu Chiu, Deng-Yiv Chiu, Yao-Hsien Lee, Chih-Cheng Wang, Chen-Shu Wang, Chi-Chung Lee, Ming-Hsiung Ying, Mei-Yu Wu, Wen-Chih Chang
OBJECTIVES: To find discriminative combination of influential factors of Intracerebral hematoma (ICH) to cluster ICH patients with similar features to explore relationship among influential factors and 30-day mortality of ICH. METHODS: The data of ICH patients are collected. We use a decision tree to find discriminative combination of the influential factors. We cluster ICH patients with similar features using Fuzzy C-means algorithm (FCM) to construct a support vector machine (SVM) for each cluster to build a multi-SVM classifier...
October 17, 2016: Methods of Information in Medicine
Jung Hun Oh, Maria Thor, Caroline Olsson, Viktor Skokic, Rebecka Jörnsten, David Alsadius, Niclas Pettersson, Gunnar Steineck, Joseph O Deasy
BACKGROUND: In the field of radiation oncology, the use of extensive patient reported outcomes is increasingly common to measure adverse side effects after radiotherapy in cancer patients. Factor analysis has the potential to identify an optimal number of latent factors (i.e., symptom groups). However, the ultimate goal of treatment response modeling is to understand the relationship between treatment variables such as radiation dose and symptom groups resulting from FA. Hence, it is crucial to identify clinically more relevant symptom groups and improved response variables from those symptom groups for a quantitative analysis...
October 17, 2016: Methods of Information in Medicine
Edward H Shortliffe
No abstract text is available yet for this article.
October 17, 2016: Methods of Information in Medicine
Najeeb Al-Shorbaji, Riccardo Bellazzi, Fernan Gonzalez Bernaldo de Quiros, Sabine Koch, Casimir A Kulikowski, Nigel H Lovell, Victor Maojo, Hyeoun-Ae Park, Ferran Sanz, Indra N Sarkar, Hiroshi Tanaka
This article is part of a For-Discussion-Section of Methods of Information in Medicine about the paper "The New Role of Biomedical Informatics in the Age of Digital Medicine" written by Fernando J. Martin-Sanchez and Guillermo H. Lopez-Campos [1]. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the paper of Martin-Sanchez and Lopez-Campos. In subsequent issues the discussion can continue through letters to the editor.
October 17, 2016: Methods of Information in Medicine
Fernando J Martin-Sanchez, Guillermo H Lopez-Campos
OBJECTIVES: To reflect on the recent rise of Digital Medicine, as well as to analyse main research opportunities in this area. Through the use of several examples, this article aims to highlight the new role that Biomedical Informatics (BMI) can play to facilitate progress in research fields such as participatory and precision medicine. This paper also examines the potential impact and associated risks for BMI due to the development of digital medicine and other recent trends. Lastly, possible strategies to place BMI in a better position to face these challenges are suggested...
October 17, 2016: Methods of Information in Medicine
Alessandra A Macedo, Evandro E S Ruiz, José A Baranauskas
BACKGROUND: In 2003, the University of São Paulo established the first Biomedical Informatics (BMI) undergraduate course in Brazil. Our mission is to provide undergraduate students with formal education on the fundamentals of BMI and its applied methods. This undergraduate course offers theoretical aspects, practical knowledge and scientifically oriented skills in the area of BMI, enab- ling students to contribute to research and methodical development in BMI. Course coordinators, professors and students frequently evaluate the BMI course and the curriculum to ensure that alumni receive quality higher education...
October 17, 2016: Methods of Information in Medicine
Saeedeh Pourahmad, Iman Hafizi-Rastani, Hosseinali Khalili, Shahram Paydar
BACKGROUND: Generally, traumatic brain injury (TBI) patients do not have a stable condition, particularly after the first week of TBI. Hence, indicating the attributes in prognosis through a prediction model is of utmost importance since it helps caregivers with treatment-decision options, or prepares the relatives for the most-likely outcome. OBJECTIVES: This study attempted to determine and order the attributes in prognostic prediction in TBI patients, based on early clinical findings...
October 17, 2016: Methods of Information in Medicine
Félix Martín-González, Javier González-Robledo, Fernando Sánchez, María N Moreno-García
No abstract text is available yet for this article.
August 5, 2016: Methods of Information in Medicine
Sabine Koch, Christoph U Lehmann, Reinhold Haux
No abstract text is available yet for this article.
August 5, 2016: Methods of Information in Medicine
Simon de Lusignan, Anne Moen
No abstract text is available yet for this article.
August 5, 2016: Methods of Information in Medicine
Andrej Kastrin, Thomas C Rindflesch, Dimitar Hristovski
OBJECTIVES: Literature-based discovery (LBD) is a text mining methodology for automatically generating research hypotheses from existing knowledge. We mimic the process of LBD as a classification problem on a graph of MeSH terms. We employ unsupervised and supervised link prediction methods for predicting previously unknown connections between biomedical concepts. METHODS: We evaluate the effectiveness of link prediction through a series of experiments using a MeSH network that contains the history of link formation between biomedical concepts...
August 5, 2016: Methods of Information in Medicine
Alfred Winter, Ralf-Dieter Hilgers, Ralf Hofestädt, Petra Knaup-Gregori, Claudia Ose, Antje Timmer
A national German funding initiative for Medical Informatics focusing at data integration for medicine gives an opportunity to reopen a window to Germany. In the open window appears a best paper selection of the 2015 annual conference of the German Society of Medical Informatics, Biometry and Epidemiology and papers of the German journal GMS Medical Informatics, Biometry and Epidemiology (MIBE). The publications in focus deal with data integration by transferring clinical routine data into an electronic data capture (EDC) system, using natural language processing to make unstructured date processable, measuring quality of record linkage, and by using a unified metadata scheme for integrated documentation in laboratories...
August 5, 2016: Methods of Information in Medicine
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"