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Computer Methods and Programs in Biomedicine

M Deschepper, K Eeckloo, D Vogelaers, W Waegeman
BACKGROUND AND OBJECTIVE: Hospitals already acquire a large amount of data, mainly for administrative, billing and registration purposes. Tapping on these already available data for additional purposes, aiming at improving care, without significant incremental effort and cost. This potential of secondary patient data is explored through modeling administrative and billing data, as well as the hierarchical structure of pathology codes of the International Classification of Diseases (ICD) in the prediction of unplanned readmissions, as a clinically relevant outcome parameter that can be impacted on in a quality improvement program...
February 13, 2019: Computer Methods and Programs in Biomedicine
Qi Tian, Mengzhou Liu, Lingtong Min, Jiye An, Xudong Lu, Huilong Duan
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (CRFs) and further transcribing them onto registry databases. To ensure the quality of data, verifying data in the registry is necessary. However, traditional manual data verification methods are time-consuming, labor-intensive and of limited-effect...
January 31, 2019: Computer Methods and Programs in Biomedicine
Federico Cabitza, Linda Greta Dui, Giuseppe Banfi
BACKGROUND AND OBJECTIVES: Collecting Patient-Reported Outcomes (PROs) is an important way to get first-hand information by patients on the outcome of treatments and surgical procedure they have undergone, and hence about the quality of the care provided. However, the quality of PRO data cannot be given for granted and cannot be traced back to the dimensions of timeliness and completeness only. While the reliability of these data can be guaranteed by adopting standard and validated questionnaires that are used across different health care facilities all over the world, these facilities must take responsibility to assess, monitor and ensure the validity of PROs that are collected from their patients...
January 17, 2019: Computer Methods and Programs in Biomedicine
Bo Sun, Yinghui Zhang, Jun He, Yongkang Xiao, Rong Xiao
BACKGROUND AND OBJECTIVE: Deep learning provides an automatic and robust solution to depression severity evaluation. However, despite it is powerful, there is a trade-off between robust performance and the cost of manual annotation. METHODS: Motivated by knowledge evolution and domain adaptation, we propose a deep evaluation network using skew-robust adversarial discriminative domain adaptation (SRADDA), which adaptively shifts its domain from a large-scale Twitter dataset to a small-scale depression interview dataset for evaluating the severity of depression...
January 17, 2019: Computer Methods and Programs in Biomedicine
Hossein Estiri, Shawn N Murphy
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that are unlikely to represent the "truth" about a patient at a given clinical encounter. Due to their high throughput, examples of such implausible observations are frequent in records of laboratory test results and vital signs. Outlier detection methods can offer low-cost solutions to flagging implausible EHR observations. This article evaluates the utility of a semi-supervised encoding approach (super-encoding) for constructing non-linear exemplar data distributions from EHR observation data and detecting non-conforming observations as outliers...
January 12, 2019: Computer Methods and Programs in Biomedicine
Roberto Álvarez Sánchez, Andoni Beristain Iraola, Gorka Epelde Unanue, Paul Carlin
BACKGROUND AND OBJECTIVES: Data curation is a tedious task but of paramount relevance for data analytics and more specially in the health context where data-driven decisions must be extremely accurate. The ambition of TAQIH is to support non-technical users on 1) the exploratory data analysis (EDA) process of tabular health data, and 2) the assessment and improvement of its quality. METHODS: A web-based tool has been implemented with a simple yet powerful visual interface...
December 29, 2018: Computer Methods and Programs in Biomedicine
Vincent Looten, Liliane Kong Win Chang, Antoine Neuraz, Marie-Anne Landau-Loriot, Benoit Vedie, Jean-Louis Paul, Laëtitia Mauge, Nadia Rivet, Angela Bonifati, Gilles Chatellier, Anita Burgun, Bastien Rance
OBJECTIVE: To identify common temporal evolution profiles in biological data and propose a semi-automated method to these patterns in a clinical data warehouse (CDW). MATERIALS AND METHODS: We leveraged the CDW of the European Hospital Georges Pompidou and tracked the evolution of 192 biological parameters over a period of 17 years (for 445,000 + patients, and 131 million laboratory test results). RESULTS: We identified three common profiles of evolution: discretization, breakpoints, and trends...
December 29, 2018: Computer Methods and Programs in Biomedicine
Nathan Lauzeral, Domenico Borzacchiello, Michael Kugler, Daniel George, Yves Rémond, Alexandre Hostettler, Francisco Chinesta
BACKGROUND AND OBJECTIVE: This paper focuses on computer simulation aspects of Digital Twin models in the medical framework. In particular, it addresses the need of fast and accurate simulators for the mechanical response at tissue and organ scale and the capability of integrating patient-specific anatomy from medical images to pinpoint the individual variations from standard anatomical models. METHODS: We propose an automated procedure to create mechanical models of the human liver with patient-specific geometry and real time capabilities...
March 2019: Computer Methods and Programs in Biomedicine
Gokhan Altan, Yakup Kutlu, Mustafa Yeniad
BACKGROUND AND OBJECTIVE: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. It has a common use on cardiac diseases with high rates of classification performances by integrating it with signal analysis methods. The aim of the study is to utilize the ECG for human identification. METHODS: Second Order Difference Plot (SODP) is a non-linear time-series analysis method that allows determining the features using the statistical analysis of the wave distributions...
March 2019: Computer Methods and Programs in Biomedicine
Alireza Khamesipour, Dimitri Kagaris
BACKGROUND AND OBJECTIVE: Finding combinations (i.e., pairs, or more generally, q-tuples with q ≥ 2) of genes whose behavior as a group differs significantly between two classes has received a lot of attention in the quest for the discovery of simple, accurate, and easily interpretable decision rules for disease classification and prediction. For example, the Top Scoring Pair (TSP) method seeks to find pairs of genes so that the probability of the reversal of the relative ranking of the expression levels of the genes in the two classes is maximized...
March 2019: Computer Methods and Programs in Biomedicine
João Otávio Bandeira Diniz, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso Paiva
BACKGROUND AND OBJECTIVE: The spinal cord is a very important organ that must be protected in treatments of radiotherapy (RT), considered an organ at risk (OAR). Excess rays associated with the spinal cord can cause irreversible diseases in patients who are undergoing radiotherapy. For the planning of treatments with RT, computed tomography (CT) scans are commonly used to delimit the OARs and to analyze the impact of rays in these organs. Delimiting these OARs take a lot of time from medical specialists, plus the fact that involves a large team of professionals...
March 2019: Computer Methods and Programs in Biomedicine
M G Ibrahim, W M Hasona, A A ElShekhipy
BACKGROUND AND OBJECTIVE: The biomedical fluid which fills the Synovial joint cavity is called Synovial fluid which behaves as in the fluid classifications to Non-Newtonian fluids. Also it's described as a several micrometers thick layer among the interstitial cartilages with very low friction coefficient. Consequently, the present paper opts to investigate the influence of the concentration-dependent viscosity on Magnetohydrodynamic peristaltic flow of Synovial Nanofluid in an asymmetric channel in presence of thermal radiation effect...
March 2019: Computer Methods and Programs in Biomedicine
Chu-Ya Huang, Phung-Anh Nguyen, Hsuan-Chia Yang, Md Mohaimenul Islam, Chia-Wei Liang, Fei-Peng Lee, Yu-Chuan Jack Li
OBJECTIVES: Medication-related clinical decision support systems have already been considered as a sophisticated method to improve healthcare quality, however, its importance has not been fully recognized. This paper's aim was to validate an existing probabilistic model that can automatically identify medication errors by performing a sensitivity analysis from electronic medical record data. METHODS: We first built a knowledge base that consisted of 2.22 million disease-medication (DM) and 0...
March 2019: Computer Methods and Programs in Biomedicine
Chieh-Chen Wu, Wen-Chun Yeh, Wen-Ding Hsu, Md Mohaimenul Islam, Phung Anh Alex Nguyen, Tahmina Nasrin Poly, Yao-Chin Wang, Hsuan-Chia Yang, Yu-Chuan Jack Li
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for prevention, early diagnosis and treatment. We aimed to develop a machine learning model to predict FLD that could assist physicians in classifying high-risk patients and make a novel diagnosis, prevent and manage FLD. METHODS: We included all patients who had an initial fatty liver screening at the New Taipei City Hospital between 1st and 31st December 2009...
March 2019: Computer Methods and Programs in Biomedicine
Ke Yan, Xiuying Wang, Jinman Kim, Mohamed Khadra, Michael Fulham, Dagan Feng
BACKGROUND AND OBJECTIVE: Prostate segmentation on Magnetic Resonance (MR) imaging is problematic because disease changes the shape and boundaries of the gland and it can be difficult to separate the prostate from surrounding tissues. We propose an automated model that extracts and combines multi-level features in a deep neural network to segment prostate on MR images. METHODS: Our proposed model, the Propagation Deep Neural Network (P-DNN), incorporates the optimal combination of multi-level feature extraction as a single model...
March 2019: Computer Methods and Programs in Biomedicine
Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying Xie, Jun Shi, Chenghai Xue
BACKGROUND AND OBJECTIVE: Color consistency of histological images is significant for developing reliable computer-aided diagnosis (CAD) systems. However, the color appearance of digital histological images varies across different specimen preparations, staining, and scanning situations. This variability affects the diagnosis and decreases the accuracy of CAD approaches. It is important and challenging to develop effective color normalization methods for digital histological images. METHODS: We proposed a novel adaptive color deconvolution (ACD) algorithm for stain separation and color normalization of hematoxylin-eosin-stained whole slide images (WSIs)...
March 2019: Computer Methods and Programs in Biomedicine
Md Mohaimenul Islam, Tahmina Nasrin, Bruno Andreas Walther, Chieh-Chen Wu, Hsuan-Chia Yang, Yu-Chuan Li
STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and feasible tool for predicting sepsis remains elusive. However, early and accurate prediction of sepsis could help physicians with proper treatments and minimize the diagnostic uncertainty. Machine learning models could help to identify potential clinical variables and provide higher performance than existing traditional low-performance models. We therefore performed a meta-analysis of observational studies to quantify the performance of a machine learning model to predict sepsis...
March 2019: Computer Methods and Programs in Biomedicine
Amirmasoud Ahmadi, Saeideh Davoudi, Mohammad Reza Daliri
BACKGROUND AND OBJECTIVE: Computer Aided Diagnosis (CAD) techniques have widely been used in research to detect the neurological abnormalities and improve the consistency of diagnosis and treatment in medicine. In this study, a new CAD system based on EEG signals was developed. The motivation for the development of the CAD system was to diagnose multiple sclerosis (MS) disease during covert visual attention tasks. It is worth noting that research of this kind on the efficacy of attention tasks is limited in scope for MS patients; therefore, it is vital to develop a feature of EEG to characterize the patient's state with high sensitivity and specificity...
February 2019: Computer Methods and Programs in Biomedicine
Bruno Rodrigues de Oliveira, Caio Cesar Enside de Abreu, Marco Aparecido Queiroz Duarte, Jozue Vieira Filho
BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary heart disease, and its diagnosis depends on a long time heart monitoring. For this purpose, monitoring through Holter devices is often used and computational tools can provide essential assistance to specialists. This paper presents a new premature ventricular contraction recognition method based on a simplified set of features, extracted from geometric figures constructed over QRS complexes (Q, R and S waves)...
February 2019: Computer Methods and Programs in Biomedicine
Fahad Alsohime, Mohamad-Hani Temsah, Ayman Al-Eyadhy, Fahad A Bashiri, Mowafa Househ, Amr Jamal, Gamal Hasan, Ali A Alhaboob, Majed Alabdulhafid, Yasser S Amer
BACKGROUND: Apposite implementation of Electronic Health Records (EHR) is anchoring standards of care in healthcare settings by reducing long-run operational costs, improving healthcare quality, and enhancing patient safety. OBJECTIVE: This study aims to explore factors that might influence Pediatricians' satisfaction with an implemented EHR system and its perceived usefulness at a tertiary-care teaching hospital, Riyadh, Saudi Arabia. METHODS: A cross-sectional survey distributed to all physicians working in the pediatric department of King Saud University Medical City (KSUMC) in the period from June to November 2015, two months after the launch of the EHR system, internally branded as electronic system for integrated health information (eSiHi)...
February 2019: Computer Methods and Programs in Biomedicine
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