Search Results - Data presentation and visualization: algorithms and implementation

Automated Filtering and Visualization of Patient-Centered Data from Electronic Health Records in Emergency Care: A Scoping Review.

Authors: Lenz, Janek Richter, Isabel Meister, Sven

Source: Journal of Multidisciplinary Healthcare; Oct2025, Vol. 18, p6503-6517, 15p

Subject Terms: ELECTRONIC health records, VISUALIZATION, MEDICAL records, INFORMATION filtering, EMERGENCY medical services, DATA visualization, COGNITIVE load, CLINICAL decision making

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Authors: Bianco, Rachele Coluccia, Sergio Marinoni, Michela et al.

Source: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.

Three-Dimensional Visualization Design Strategies for Urban Smart Venues under the Internet of Things.

Authors: Renjun Liu

Source: Computer Science & Information Systems; Jun2025, Vol. 22 Issue 3, p1167-1196, 30p

Multimodal Spatio-Temporal Data Visualization Technologies for Contemporary Urban Landscape Architecture: A Review and Prospect in the Context of Smart Cities.

Authors: Han, Xiao Li, Zhe Cao, Hao et al.

Source: Land (2012); May2025, Vol. 14 Issue 5, p1069, 35p

Subject Terms: URBAN landscape architecture, SUSTAINABLE urban development, SMART cities, TECHNOLOGICAL innovations, DATA visualization, LANDSCAPE architecture

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Authors: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Source: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Subjects: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization

Implementation of a Deep Learning System for Detection and Classification of Lumpy Skin Disease in Cattle: Enhancing Precision and Efficiency in Veterinary Diagnostics.

Authors: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. et al.

Source: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-20. 20p.

Subjects: Lumpy skin disease, Deep learning, Ensemble learning, Veterinary clinical pathology, Health of cattle, Transformer models, Machine learning

No More, No Less than Sum of Its Parts: Groups, Monoids, and the Algebra of Graphics, Statistics, and Interaction.

Authors: Bartonicek, Adam Urbanek, Simon Murrell, Paul

Source: Journal of Computational & Graphical Statistics; Jul-Sep2025, Vol. 34 Issue 3, p1063-1074, 12p

Subject Terms: DATA visualization, STATISTICS, MATHEMATICAL category theory, MONOIDS, COMPUTER graphics

Hybrid Ensemble Model for Lactation Milk Yield Prediction of Holstein Cows.

Authors: TOPUZ, Derviş TEKGÖZ, Selçuk

Source: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Sep-Nov2025, Vol. 31 Issue 5, p603-611. 9p.

Subjects: Milk yield, Holstein-Friesian cattle, Principal components analysis, Fisher discriminant analysis, Veterinary medicine, Classification algorithms, Machine learning

mint: Integrating scientific visualizations into virtual reality.

Authors: Geringer, Sergej Geiselhart, Florian Bäuerle, Alex et al.

Source: Journal of Visualization; Dec2024, Vol. 27 Issue 6, p1143-1169, 27p

GeneRiskCalc: a web-based tool for genetic risk association analysis in case–control studies.

Authors: Sudershan, Amrit Singh, Kuljeet Kumar, Parvinder

Source: BMC Bioinformatics; 8/19/2025, Vol. 26 Issue 1, p1-17, 17p

Subject Terms: CASE-control method, ODDS ratio, WEB-based user interfaces, HARDY-Weinberg formula, GENETIC software, GENOME-wide association studies, CONFIDENCE intervals, DATA visualization

Supervised machine learning approaches for early detection of metabolic and udder health disorders in dairy cows using sensor-derived data.

Authors: Girdauskaitė, Akvilė Grigė, Samanta Džermeikaitė, Karina et al.

Source: Frontiers in Veterinary Science. 2025, p1-9. 9p.

Development and Evaluation of an Algorithm for Vascular Access Management (ALCOV)

Contributors: SLOSSE Come, Principal Investigateur

Source: Development and Evaluation of an Algorithm for Vascular Access Management - ALCOV Pilot Study
Rickard CM, Marsh N, Webster J, Runnegar N, Larsen E, McGrail MR, Fullerton F, Bettington E, Whitty JA, Choudhury MA, Tuffaha H, Corley A, McMillan DJ, Fraser JF, Marshall AP, Playford EG. Dressings and securements for the prevention of peripheral intravenous catheter failure in adults (SAVE): a pragmatic, randomised controlled, superiority trial. Lancet. 2018 Aug 4;392(10145):419-430. doi: 10.1016/S0140-6736(18)31380-1. Epub 2018 Jul 26.
van Loon FHJ, Buise MP, Claassen JJF, Dierick-van Daele ATM, Bouwman ARA. Comparison of ultrasound guidance with palpation and direct visualisation for peripheral vein cannulation in adult patients: a systematic review and meta-analysis. Br J Anaesth. 2018 Aug;121(2):358-366. doi: 10.1016/j.bja.2018.04.047. Epub 2018 Jul 2.
Bauman M, Braude D, Crandall C. Ultrasound-guidance vs. standard technique in difficult vascular access patients by ED technicians. Am J Emerg Med. 2009 Feb;27(2):135-40. doi: 10.1016/j.ajem.2008.02.005.
Adhikari S, Blaivas M, Morrison D, Lander L. Comparison of infection rates among ultrasound-guided versus traditionally placed peripheral intravenous lines. J Ultrasound Med. 2010 May;29(5):741-7. doi: 10.7863/jum.2010.29.5.741.
Bjorkander M, Bentzer P, Schott U, Broman ME, Kander T. Mechanical complications of central venous catheter insertions: A retrospective multicenter study of incidence and risks. Acta Anaesthesiol Scand. 2019 Jan;63(1):61-68. doi: 10.1111/aas.13214. Epub 2018 Jul 11.
Marsh N, Larsen EN, Takashima M, Kleidon T, Keogh S, Ullman AJ, Mihala G, Chopra V, Rickard CM. Peripheral intravenous catheter failure: A secondary analysis of risks from 11,830 catheters. Int J Nurs Stud. 2021 Dec;124:104095. doi: 10.1016/j.ijnurstu.2021.104095. Epub 2021 Sep 26.
Liu YT, Alsaawi A, Bjornsson HM. Ultrasound-guided peripheral venous access: a systematic review of randomized-controlled trials. Eur J Emerg Med. 2014 Feb;21(1):18-23. doi: 10.1097/MEJ.0b013e328363bebc.
Bouaziz H, Zetlaoui PJ, Pierre S, Desruennes E, Fritsch N, Jochum D, Lapostolle F, Pirotte T, Villiers S. Guidelines on the use of ultrasound guidance for vascular access. Anaesth Crit Care Pain Med. 2015 Feb;34(1):65-9. doi: 10.1016/j.accpm.2015.01.004. Epub 2015 Mar 5.
Cai EZ, Sankaran K, Tan M, Chan YH, Lim TC. Pen Torch Transillumination: Difficult Venepuncture Made Easy. World J Surg. 2017 Sep;41(9):2401-2408. doi: 10.1007/s00268-017-4050-3.
Adams DZ, Little A, Vinsant C, Khandelwal S. The Midline Catheter: A Clinical Review. J Emerg Med. 2016 Sep;51(3):252-8. doi: 10.1016/j.jemermed.2016.05.029. Epub 2016 Jul 5.
Lockwood J, Desai N. Central venous access. Br J Hosp Med (Lond). 2019 Aug 2;80(8):C114-C119. doi: 10.12968/hmed.2019.80.8.C114.
Vinan-Vega MN, Rahman MR, Thompson J, Ruppert MD, Patel RJ, Ismail A, Mousa S, Payne JD. Air embolism following peripheral intravenous access. Proc (Bayl Univ Med Cent). 2019 Jun 3;32(3):433-434. doi: 10.1080/08998280.2019.1609154. eCollection 2019 Jul.
Loon FHJV, Puijn LAPM, Houterman S, Bouwman ARA. Development of the A-DIVA Scale: A Clinical Predictive Scale to Identify Difficult Intravenous Access in Adult Patients Based on Clinical Observations. Medicine (Baltimore). 2016 Apr;95(16):e3428. doi: 10.1097/MD.0000000000003428.
van Loon FHJ, van Hooff LWE, de Boer HD, Koopman SSHA, Buise MP, Korsten HHM, Dierick-van Daele ATM, Bouwman ARA. The Modified A-DIVA Scale as a Predictive Tool for Prospective Identification of Adult Patients at Risk of a Difficult Intravenous Access: A Multicenter Validation Study. J Clin Med. 2019 Jan 26;8(2):144. doi: 10.3390/jcm8020144.
Bahl A, Johnson S, Alsbrooks K, Mares A, Gala S, Hoerauf K. Defining difficult intravenous access (DIVA): A systematic review. J Vasc Access. 2021 Nov 17;24(5):904 - 910. doi: 10.1177/11297298211059648. Print 2023 Sep.
Civetta G, Cortesi S, Mancardi M, De Pirro A, Vischio M, Mazzocchi M, Scudeller L, Bottazzi A, Iotti GA, Palo A. EA-DIVA score (Enhanced Adult DIVA score): A new scale to predict difficult preoperative venous cannulation in adult surgical patients. J Vasc Access. 2019 May;20(3):281-289. doi: 10.1177/1129729818804994. Epub 2018 Oct 16.
Girotto C, Arpone M, Frigo AC, Micheletto M, Mazza A, Da Dalt L, Bressan S. External validation of the DIVA and DIVA3 clinical predictive rules to identify difficult intravenous access in paediatric patients. Emerg Med J. 2020 Dec;37(12):762-767. doi: 10.1136/emermed-2020-209658. Epub 2020 Oct 20.
Santos-Costa P, Sousa LB, van Loon FHJ, Salgueiro-Oliveira A, Parreira P, Vieira M, Graveto J. Translation and Validation of the Modified A-DIVA Scale to European Portuguese: Difficult Intravenous Access Scale for Adult Patients. Int J Environ Res Public Health. 2020 Oct 17;17(20):7552. doi: 10.3390/ijerph17207552.
Debillon T, Zupan V, Ravault N, Magny JF, Dehan M. Development and initial validation of the EDIN scale, a new tool for assessing prolonged pain in preterm infants. Arch Dis Child Fetal Neonatal Ed. 2001 Jul;85(1):F36-41. doi: 10.1136/fn.85.1.f36.
Chooi CS, White AM, Tan SG, Dowling K, Cyna AM. Pain vs comfort scores after Caesarean section: a randomized trial. Br J Anaesth. 2013 May;110(5):780-7. doi: 10.1093/bja/aes517. Epub 2013 Feb 5.
Laksonen RP Jr, Gasiewicz NK. Implementing a Program for Ultrasound-Guided Peripheral Venous Access: Training, Policy and Procedure Development, Protocol Use, Competency, and Skill Tracking. Nurs Clin North Am. 2015 Dec;50(4):771-85. doi: 10.1016/j.cnur.2015.07.010.
Lamperti M, Biasucci DG, Disma N, Pittiruti M, Breschan C, Vailati D, Subert M, Traskaite V, Macas A, Estebe JP, Fuzier R, Boselli E, Hopkins P. European Society of Anaesthesiology guidelines on peri-operative use of ultrasound-guided for vascular access (PERSEUS vascular access). Eur J Anaesthesiol. 2020 May;37(5):344-376. doi: 10.1097/EJA.0000000000001180.
Adhikari S, Schmier C, Marx J. Focused simulation training: emergency department nurses' confidence and comfort level in performing ultrasound-guided vascular access. J Vasc Access. 2015 Nov-Dec;16(6):515-20. doi: 10.5301/jva.5000436. Epub 2015 Jun 20.
van Loon FH, Puijn LA, van Aarle WH, Dierick-van Daele AT, Bouwman AR. Pain upon inserting a peripheral intravenous catheter: Size does not matter. J Vasc Access. 2018 May;19(3):258-265. doi: 10.1177/1129729817747531. Epub 2018 Mar 4.
Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, Baird J. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015 Mar 19;350:h1258. doi: 10.1136/bmj.h1258.
Slosse C, Manneville F, Ricci L, Ostermann A, Klein S, Bouaziz H, Ambroise-Grandjean G. Development and evaluation of an algorithm for peripheral venous catheter placement (ALCOV): protocol for a quasi-experimental study. BMJ Open. 2024 Jun 19;14(6):e078002. doi: 10.1136/bmjopen-2023-078002.

Process mining in healthcare: a tertiary study.

Authors: Santos, Adauto Leal, Gislaine Camila Lapasini Balancieri, Renato

Source: BMC Medical Informatics & Decision Making; 8/14/2025, Vol. 25 Issue 1, p1-19, 19p

Generalized Framework and Algorithms for Illustrative Visualization of Time-Varying Data on Unstructured Meshes

Contributors: Joshi, Alark

File Description: Medium: ED

Access URL: http://www.osti.gov/scitech/servlets/purl/1058088

Optimising the selection of welfare indicators in farm animals.

Authors: Day, Jon Ben Haddou, Mohamed Kylling, Rita et al.

Source: Frontiers in Veterinary Science. 2025, p1-19. 19p.

Optimising Learning Analytics and Teaching Decisions in Digital Transformation Practices in English Language Education.

Authors: Han, Junxiao Wang, Shumin Xu, Xiaochan

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p111-128, 18p

Subject Terms: DISTANCE education, TEACHING methods, LEARNING, TECHNOLOGICAL revolution, TEACHING guides

The PandaRoot framework for simulation, reconstruction and analysis

Authors: SPATARO, STEFANO GIOVANNI the PANDA Collaboration S. Spataro

Contributors: SPATARO, STEFANO GIOVANNI the PANDA Collaboration S. Spataro

Subject Terms: Data acquisition: hardware and software, Applications of Monte Carlo method, Calorimeter, Computer data analysi, Numerical optimization, Cherenkov detector, Data presentation and visualization: algorithms and implementation, Data analysis: algorithms and implementation, data management

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000301279900031; International Conference on Computing in High Energy and Nuclear Physics (CHEP); volume:331; firstpage:032031; lastpage:-; numberofpages:6; journal:JOURNAL OF PHYSICS. CONFERENCE SERIES; http://hdl.handle.net/2318/94156; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84858131002

Availability: http://hdl.handle.net/2318/94156
https://doi.org/10.1088/1742-6596/331/3/032031

Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

Authors: Badrul Hisham Ahmad

Resource Type: eBook.

Subjects: Computational intelligence--Congresses, Soft computing--Congresses, Electronic data processing--Congresses, Data mining--Statistical methods--Congresses, Computer algorithms--Congresses

Categories: COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Security / General

Data Visualization with Category Theory and Geometry

Authors: Lukas Silvester Barth Hannaneh Fahimi Parvaneh Joharinad et al.

Resource Type: eBook.

Subjects: Dimension reduction (Statistics), Information visualization

Categories: MATHEMATICS / Applied

The Nutritional Profile of Spanish Beverages: A Comparative Evaluation of the Original and Updated Nutri-Score Algorithm.

Authors: de las Heras-Delgado, Sara Shyam, Sangeetha Iglesias-Vázquez, Lucía et al.

Source: Nutrients. May2025, Vol. 17 Issue 9, p1521. 17p.