Computer methods and programs in biomedicine update最新文献

{"title":"Sentiment visualization of correlation of loneliness mapped through social intelligence analysis","authors":"Hurmat Ali Shah,&nbsp;Marco Agus,&nbsp;Mowafa Househ","doi":"10.1016/j.cmpbup.2024.100144","DOIUrl":"https://doi.org/10.1016/j.cmpbup.2024.100144","url":null,"abstract":"<div><h3>Background</h3><p>Loneliness is a global public health issue affecting a considerable number of people as well as burdening the public health system and increasing the risk of other life-threatening and life-damaging conditions. In USA an estimated 17% adults aged 18–70 report loneliness. The monetary loss as result of loneliness is estimated to be between USD 8074.80 and USD 12,0777.70 per person per year in the United Kingdom. But the dynamics of loneliness are not understood. <em>S</em>ocial media platforms have become a valuable source of data to study this phenomenon.</p></div><div><h3>Objectives</h3><p>This paper aims to visualize the frequency of loneliness-related themes and topics in Twitter data. By using natural language (NLP) processing, sentiment analysis, and topic modeling, we seek to understand prevalent sentiments and concerns. Through interactive tree maps and radar plots, we present an engaging view of loneliness dimensions, allowing users to explore and gain insights into this issue on social media. We focus on comparative analysis of USA and India through analyzing tweets from both countries on loneliness. These two countries are the biggest countries population-wise where access to Twitter is legally allowed.</p></div><div><h3>Methods</h3><p>This study consists of two parts. In the first part, we employ NLP techniques and machine learning algorithms to extract and analyze tweets containing keywords related to loneliness. Through sentiment analysis and topic modeling, we discern linguistic patterns and contextual information to categorize the recurring themes and topics. Advanced text analytics is used to gain nuanced insights into the experiences, emotions, and challenges connected with loneliness. In the second part, interactive visualizations are developed to present the findings in an engaging and intuitive manner. Techniques such as tree maps and radar plots are utilized to transform the analyzed data into visually appealing representations.</p></div><div><h3>Results</h3><p>The analysis of Twitter data yields valuable knowledge about the prevalence and nature of themes and topics associated with loneliness. The interactive visualizations present a comprehensive view of the sentiments and concerns expressed by Twitter users. These interactive plots provide a holistic view of the distribution of themes and topics associated with loneliness, allowing experts to explore and interact with the data, gaining deeper insights into the complexities surrounding this issue.</p></div><div><h3>Conclusion</h3><p>This paper successfully explores themes and topics related to loneliness on Twitter by employing NLP, sentiment analysis, and topic modeling. The interactive visualizations enhance the accessibility and usability of the findings, providing valuable insights for various stakeholders. The study contributes to a deeper comprehension of loneliness in the context of social media.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"5 ","pages":"Article 100144"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666990024000119/pdfft?md5=ad8d535a84d4bca27801d32d83601be9&pid=1-s2.0-S2666990024000119-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robust optimization of geometrical properties of flow diverter stents for treating cerebral aneurysm: A proof-of-concept study","authors":"Zahra Darbandi ,&nbsp;Mahkame Sharbatdar ,&nbsp;Mehrdad Raisee","doi":"10.1016/j.cmpbup.2024.100167","DOIUrl":"10.1016/j.cmpbup.2024.100167","url":null,"abstract":"<div><div>This study presents a novel approach to optimize the design of flow diverter (FD) stents for cerebral aneurysm (CA) treatment. By addressing sources of uncertainty in cardiovascular simulations, including geometrical and physical properties and boundary conditions, we aim to assess the applicability of robust optimization techniques to the FD design, establishing a foundation for acquiring robust FDs that are capable of operating consistently under various real-world scenarios. Blood flow in a simplified 2-dimensional CA and FD model was simulated through computational fluid dynamics (CFD). A design space exploration method, incorporating Latin hypercube sampling and Kriging surrogate models, was employed to obtain the optimal solution. The objective was to maximize the reduction in velocity and vorticity within the CA sac. This study used non-intrusive polynomial chaos expansion (PCE) to quantify and propagate the input uncertainties through the computational model and compute the statistical moments of velocity and vorticity reductions. To assess the effect of uncertain sources on objective functions, a sensitivity analysis method based on Sobol indices was applied. Robust optimization involved simultaneously optimizing the mean and standard deviation of velocity reduction. Additionally, we accounted for patients’ specific conditions and repeated the robust optimization. The results indicate that blood Hematocrit and inlet velocity are the most impactful uncertain sources in FD optimization. Moreover, the obtained Pareto front shows that in robust designs, FD struts are concentrated in the distal region of the CA neck, while optimal designs have more struts in the proximal region. This study proposes an FD that compromises robustness and optimality with a velocity reduction of 72.31 % and a standard deviation of 0.00343.</div></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"6 ","pages":"Article 100167"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mathematical modelling of COVID-19 transmission with optimal control and cost-effectiveness analysis","authors":"Jufren Zakayo Ndendya,&nbsp;Goodluck Mlay,&nbsp;Herieth Rwezaura","doi":"10.1016/j.cmpbup.2024.100155","DOIUrl":"https://doi.org/10.1016/j.cmpbup.2024.100155","url":null,"abstract":"<div><p>The present global health threat is the novel coronavirus disease (COVID-19), caused by a new strain of the SARS-CoV-2 coronavirus. In this study, have employed optimal control theory, aided by Pontryagin’s Maximum Principle, to explore optimal control measures. Specifically, we have investigated time-dependent intervention strategies, including the proper use of personal protective measures and vaccination. Bifurcation analysis was conducted and results shows that the model system exhibit a forward bifurcation. The optimal control system have been numerically simulated using the fourth-order Runge–Kutta methods. The results show that the implementation of the combination of the two interventions was more significant and effective in minimizing the spread of the COVID-19 than the implementation of a single control measure. These findings underscore the significance of multifaceted intervention approaches over singular control measures. Notably, the combined implementation of interventions emerges as markedly more effective in containing COVID-19 transmission. Moreover, our study identifies personal protective measures as a particularly cost-effective intervention, offering substantial relief from the burden of the pandemic within the population. We anticipate that our research will inform evidence-based approaches to pandemic control and aid in the ongoing global efforts to safeguard public health.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"5 ","pages":"Article 100155"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666990024000223/pdfft?md5=9a97650d33c27c586931ccfb4171acc7&pid=1-s2.0-S2666990024000223-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140650571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuzzy information granulation towards benign and malignant lung nodules classification","authors":"Fatemeh Amini ,&nbsp;Roya Amjadifard ,&nbsp;Azadeh Mansouri","doi":"10.1016/j.cmpbup.2024.100153","DOIUrl":"https://doi.org/10.1016/j.cmpbup.2024.100153","url":null,"abstract":"<div><p>Lung cancer is the second common cancer with the highest death rate in the world. Cancer diagnosis in the early stages is a critical factor for increasing the treatment speed. This paper proposes a new machine learning method based on a fuzzy approach to detect benign and malignant lung nodules to early-diagnose lung cancer by investigating the computed tomography (CT) images. First, the lung nodule images are pre-processed via the Gabor wavelet transform. Then, some of the texture features are extracted from the transformed domain based on the statistical characteristics and histogram of the local patterns of images. Finally, based on the fuzzy information granulation (FIG) method, which is widely recognized as being able to distinguish between similar textures, a FIG-based classifier is introduced to classify the benign and malignant lung nodules. The clinical data set used for this research are a combination of 150 CT scans of LIDC and SPIE-APPM data sets. Also the LIDC data set is analyzed alone. The results show that the proposed method can be an innovative alternative to classify the benign and malignant nodules in the CT images.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"5 ","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266699002400020X/pdfft?md5=d43ed81b678b0d363064540232814404&pid=1-s2.0-S266699002400020X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140548499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Irreversible electroporation for tissue ablation: A 3D computational platform","authors":"Sudip Kumar Das ,&nbsp;Srinivasan Jayaraman","doi":"10.1016/j.cmpbup.2024.100163","DOIUrl":"10.1016/j.cmpbup.2024.100163","url":null,"abstract":"<div><h3>Background and objective:</h3><p>Globally, irreversible electroporation (IRE) emerges as a promising technique for tissue ablation as it overcomes the limitations of the benchmark techniques. However, achieving the desired and safe ablation volume of tissue pivots on multiple factors, such as pulse profile, shape, and number of electrodes, besides the IRE treatment parameters, like pulse type, field strength, number of pulses, pulse length, and frequency. This work aims to develop a <span><math><mi>3D</mi></math></span> computation platform that predicts the ablation volume using the IRE procedure and provides insights such as electric field, temperature and its corresponding cell survival regions. Thereby, such a platform aids in selecting optimized treatment parameters to avoid thermal damage. In addition, the developed IRE model estimates the relationship between the pulse protocol and different electrode geometries, number of electrodes, and electrode configurations.</p></div><div><h3>Methods:</h3><p>The computational model for IRE is developed with Laplace’s equation and Penn’s bio-heat equation for the electric potential and temperature profiles, respectively, and the Finite Difference method is considered for the numerical solution. The statistical Fermi equation-based Peleg model has been adapted to estimate the ablation volume as a function of the magnitude of the electric field and other electric field parameters.</p></div><div><h3>Results:</h3><p>The tissue ablation platform allows computation and visualization of ablation volume estimation using the IRE technique with a pair of plate-type and multiple pairs of needle-type electrodes. IRE treatment with different combinations of electric pulse parameters, i.e., pulse length, voltage, and number of pulses, causes different levels of temperature rise. By adapting our platform, one can avoid thermal damage in the IRE treatment with the right combination of pulse parameters. For instance, one can apply a maximum of 10 pulses restricting temperature within <span><math><mrow><mn>50</mn><mspace></mspace><mo>°</mo><mi>C</mi></mrow></math></span> in the IRE treatment of cervical tissue with a couple of pairs of needle-type electrodes and <span><math><mrow><mn>100</mn><mspace></mspace><mi>μ</mi><mi>s</mi></mrow></math></span> electric pulses of <span><math><mrow><mn>3000</mn><mspace></mspace><mi>V</mi></mrow></math></span>.</p></div><div><h3>Conclusion:</h3><p>The proposed IRE model aids in treatment planning for tissue ablation with <span><math><mi>3D</mi></math></span> visual outputs through the platform’s user interface for better clinical insights, including interpretability, data resolution, and computational cost.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"6 ","pages":"Article 100163"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666990024000302/pdfft?md5=95221513af1d6ad772e3f8f50c180369&pid=1-s2.0-S2666990024000302-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Hypotensive Events in the ICU Settings Using Patient's Short-term Physiological History and Contextual Data","authors":"M. C. Moghadam, Ehsan Masoumi, S. Kendale, N. Bagherzadeh","doi":"10.1016/j.cmpbup.2023.100100","DOIUrl":"https://doi.org/10.1016/j.cmpbup.2023.100100","url":null,"abstract":"","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49062274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records","authors":"Joyce C Ho ,&nbsp;Lisa R Staimez ,&nbsp;K M Venkat Narayan ,&nbsp;Lucila Ohno-Machado ,&nbsp;Roy L Simpson ,&nbsp;Vicki Stover Hertzberg","doi":"10.1016/j.cmpbup.2022.100087","DOIUrl":"10.1016/j.cmpbup.2022.100087","url":null,"abstract":"<div><h3>Aims</h3><p>Various cardiovascular risk prediction models have been developed for patients with type 2 diabetes mellitus. Yet few models have been validated externally. We perform a comprehensive validation of existing risk models on a heterogeneous population of patients with type 2 diabetes using secondary analysis of electronic health record data.</p></div><div><h3>Methods</h3><p>Electronic health records of 47,988 patients with type 2 diabetes between 2013 and 2017 were used to validate 16 cardiovascular risk models, including 5 that had not been compared previously, to estimate the 1-year risk of various cardiovascular outcomes. Discrimination and calibration were assessed by the c-statistic and the Hosmer-Lemeshow goodness-of-fit statistic, respectively. Each model was also evaluated based on the missing measurement rate. Sub-analysis was performed to determine the impact of race on discrimination performance.</p></div><div><h3>Results</h3><p>There was limited discrimination (c-statistics ranged from 0.51 to 0.67) across the cardiovascular risk models. Discrimination generally improved when the model was tailored towards the individual outcome. After recalibration of the models, the Hosmer-Lemeshow statistic yielded p-values above 0.05. However, several of the models with the best discrimination relied on measurements that were often imputed (up to 39% missing).</p></div><div><h3>Conclusion</h3><p>No single prediction model achieved the best performance on a full range of cardiovascular endpoints. Moreover, several of the highest-scoring models relied on variables with high missingness frequencies such as HbA1c and cholesterol that necessitated data imputation and may not be as useful in practice. An open-source version of our developed Python package, cvdm, is available for comparisons using other data sources.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"3 ","pages":"Article 100087"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/b7/a4/nihms-1901943.PMC10274317.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9708383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transforming health systems with design health literacy: Presenting the 40-20-40 model for digital development","authors":"Lars Münter ,&nbsp;Danielle Drachmann ,&nbsp;Mouna Ghanem ,&nbsp;Yvonne Prinzellner ,&nbsp;Carolien Smits ,&nbsp;Katharina Werner ,&nbsp;Vera Bulsink ,&nbsp;Isabel Schwaninger ,&nbsp;Lex Van Velsen ,&nbsp;Nicolaj Holm Faber","doi":"10.1016/j.cmpbup.2023.100122","DOIUrl":"https://doi.org/10.1016/j.cmpbup.2023.100122","url":null,"abstract":"<div><h3>Intro</h3><p>Digital tools and services are becoming the standard for delivery of health care, especially hastened by the restrictions and needs during the COVID-19 pandemic. While early experiences with telemedicine have been a foundation for modern day digital tool development, the use of co-creation, user meta dialogue, and follow up services are often short and few. This represents a powerful potential for designing upcoming services for a multi-level platform. This requires, however, equity in digital health literacy, which is often not the case. Rather than seeing effect or impact as the outcome of the service itself, the value of including and referencing user expectations before and after the session holds an even stronger value; therefore we've explored and created a new co-design approach to digital development we call the 40-20-40 model.</p></div><div><h3>Results</h3><p>Using the 40-20-40 approach we focus on early user communication and input as a part of the specific session or service design, a <em>prologue-phase</em>, that gathers vital input to align expectations. After the specific <em>intervention-phase</em>, we utilise the <em>epilogue-phas</em>e as an extension of the intervention itself, an echo of the prologue, and a gathering of user outcomes. We believe the pro- and epilogue phases represent a total of 80% of the overall impact of our services. We also argue that digital developers and public health service providers would benefit from a stronger use of this design model to improve the quality of care and the use and impact of care services, in particular for patients with limited digital health literacy.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"4 ","pages":"Article 100122"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49762643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-lead ECG heartbeat classification of heart disease based on HOG local feature descriptor","authors":"Mohammad Ali Sheikh Beig Goharrizi ,&nbsp;Amir Teimourpour ,&nbsp;Manijeh Falah ,&nbsp;Kiavash Hushmandi ,&nbsp;Mohsen Saberi Isfeedvajani","doi":"10.1016/j.cmpbup.2023.100093","DOIUrl":"https://doi.org/10.1016/j.cmpbup.2023.100093","url":null,"abstract":"","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"3 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49780850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collection of patient-generated health data with a mobile application and transfer to hospital information system via QR codes","authors":"Chong Song ,&nbsp;Yoichi Kakuta ,&nbsp;Kenichi Negoro ,&nbsp;Rintaro Moroi ,&nbsp;Atsushi Masamune ,&nbsp;Erina Sasaki ,&nbsp;Naoki Nakamura ,&nbsp;Masaharu Nakayama","doi":"10.1016/j.cmpbup.2023.100099","DOIUrl":"10.1016/j.cmpbup.2023.100099","url":null,"abstract":"<div><h3>Background and Objective</h3><p>The collection of patient-generated health data (PGHD) is important for understanding a patient's daily status for efficient treatment. Mobile applications are effective for continuously collecting patient data, and it is desirable to promptly integrate such data into electronic medical records. However, most hospital information systems have limited connections with external mobile applications. Therefore, in this study, we developed a simple system that can collect data from patients with inflammatory bowel disease (IBD) and transfer the data to electronic medical records without a direct connection to a hospital information system.</p></div><div><h3>Methods</h3><p>We developed patient-facing mobile applications and physician-facing user-defined form templates for the hospital information system. The PGHD were transferred via QR codes using a two-way linkage. The persistence rates were measured and analyzed to clarify the factors affecting the continuous usage of the application.</p></div><div><h3>Results</h3><p>A mobile application connected to a hospital information system was implemented and used in on-site operations. Among patients with IBD using this application, 84.6%–91.7% continued to use it over six months and 72.2%–84.5% continued for over one year. Particularly, patients who used the application during the first two visits tended to be significantly frequent users.</p></div><div><h3>Conclusions</h3><p>We developed a mobile application connected to a hospital information system using a QR code, which is a simple way to continuously collect data from patients and enables physicians to use the data efficiently for patient-centered medical care.</p></div>","PeriodicalId":72670,"journal":{"name":"Computer methods and programs in biomedicine update","volume":"3 ","pages":"Article 100099"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43865598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}