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Research study analyzing patient data with machine learning to develop a diagnostic model that identifies key predictors of cardiovascular disease.
Year:
2026
Region / City:
Not specified
Topic:
Cardiovascular disease diagnosis
Document type:
Research study
Organization / Institution:
Not specified
Author:
Not specified
Target audience:
Healthcare professionals, data scientists
Methods:
Machine learning algorithms, feature selection
Algorithms:
Random Forest Classifier, Support Vector Machines (SVM), XGBoost
Software:
Python, Visual Studio Code
Objective:
Improve diagnostic accuracy and efficiency for cardiovascular diseases
Outcome:
High accuracy and precision in disease detection, reduced false positives
Data:
Patient medical history, clinical measurements, lifestyle factors
Price: 8 / 10 USD
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Year:
2020
Region / City:
International
Topic:
Machine Learning
Document Type:
Research Article
Organization / Institution:
International Journal of Machine Learning and Cybernetics
Authors:
Mukherjee, H., Obaidullah, S.M., Santosh, K.C., Bakhshandeh, S., Azmi, R., Teshnehlab, M., Gu, X., Chung, Fl., Wang, S., Zhou, W., Qiao, S., Yi, Y., Song, Z., Cui, K., Cheng, G., Qin, K., Lin, H., Jiang, Y., Wang, L., Gao, C., Zhao, N., Zeng, XQ., Chen, SF., Xiang, R., Zhang, TL., Chen, R., Yang, X., Zhong, Sh., Huang, X., Xiao, Z., Hu, X., Sun, B., Chen, X., Zhang, Y., Huang, D., Lin, H., Chen, H., Zhang, Y., Li, G., Luo, X., Li, Y., Wang, W., Zhang, CX., Kim, SW., Zhang, JS.
Target Audience:
Researchers, Data Scientists, Academics
Period of Validity:
2020
Approval Date:
January 2020
Date of Changes:
None
Year:
2023
Region / City:
Munich, Germany; Gliwice, Poland; Göttingen, Germany
Subject:
Acute pancreatitis, Biliary pancreatitis, Microlithiasis, Sludge, Machine learning
Document type:
Research article
Organization / Institution:
LMU University Hospital, Maria Sklodowska-Curie National Research Institute of Oncology, University Medical Center Göttingen
Author:
Simon Sirtl, Michal Żorniak, Eric Hohmann, Georg Beyer, Miriam Dibos, Annika Wandel, Veit Phillip, Christoph Ammer-Herrmenau, Albrecht Neesse, Christian Schulz, Jörg Schirra, Julia Mayerle, Ujjwal Mukund Mahajan
Target audience:
Medical researchers, healthcare professionals, gastroenterologists
Period of validity:
2015–2020
Approval date:
August 28, 2023
Date of changes:
N/A
Corresponding author:
Julia Mayerle
Supported by:
Deutsche Forschungsgemeinschaft (German Research Foundation), United European Gastroenterology Research Fellowship
Keywords:
Machine learning, Endosonography, Acute pancreatitis, Microlithiasis, Sludge
DOI:
https://dx.doi.org/10.3748/wjg.v29.i35.5138
Context description:
A retrospective study on the development of a machine learning-based model to predict biliary sludge and microlithiasis in patients with idiopathic acute pancreatitis, supporting decision-making for endosonography.
Year:
2021
Region / city:
Various locations
Theme:
Publications and Dissemination Activities
Document type:
Report
Organization / institution:
ITEA 3
Authors:
ARD Group, BEIA Gmbh, Caretronic d.o.o., Dogus Technology, Experteam, FrontEndART Software, FTP - LDA, Hiperlink, ISEP, Strategy Big data, University of Szeged
Target audience:
Researchers, healthcare professionals, technology innovators
Period of validity:
2021-2024
Approval date:
01.01.2022
Date of modifications:
None
Year:
2018
Region / City:
USA
Subject:
Trauma Care
Document Type:
Clarification Document
Organization:
American College of Surgeons
Author:
Verification Review Committee
Target Audience:
Healthcare professionals involved in trauma care
Effective Period:
N/A
Approval Date:
30/04/2018
Modification Date:
N/A
Year:
Not specified
Region / City:
Not specified
Topic:
Thyroid hormone sensitivity, Type 2 Diabetes, Non-Diabetes
Document Type:
Supplementary Table
Author:
Not specified
Target Audience:
Researchers, Medical Professionals
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Note:
Year
Contextual description:
This technical resolution outlines standardized procedures for evaluating the DC fast-charging performance of electric vehicles and hybrids, detailing specifications, tests, and measurement systems.
Year:
2025
Region / City:
New Jersey
Theme:
Education, Literacy Screening
Document Type:
Grant Notice
Organization / Institution:
New Jersey Department of Education
Author:
Kevin Dehmer, Jorden Schiff, Natalie Franzi Dougherty
Target Audience:
Local Education Agency (LEA), Grades K-3
Period of Application:
June 1, 2025 - May 31, 2026
Approval Date:
11/22/2024
Amendment Date:
None
Year:
2011-2013
Region / city:
Norway
Theme:
Environmental friendly power line routing
Document type:
Research Project Report
Organization:
Norwegian Institute for Nature Research (NINA)
Author:
Frank Hanssen, Jørn Thomassen, Roel May, Kjetil Bevanger
Target audience:
Stakeholders in power transmission and environmental sectors
Period of validity:
January 2011 to December 2013
Approval date:
N/A
Date of changes:
N/A
Authors:
Sasawat Jamnuch; John Vinson
Affiliations:
Theiss Research, La Jolla, CA, USA; Material Measurement Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
Type of Document:
Scientific research article
Field:
Computational materials science; electronic structure theory; density functional theory
Main Methods:
Optimal Basis Functions (OBF); Density Functional Theory (DFT); Bethe-Salpeter Equation (BSE); k-space interpolation
Software Interface:
Quantum ESPRESSO
Applications:
X-ray absorption spectroscopy; large-scale electronic structure calculations; high-throughput DFT studies
Referenced Methods:
GW method; many-body perturbation theory; Wannier interpolation; tight-binding; k·p method
Abstract:
Presentation of an efficient implementation of k-space interpolation based on optimal basis functions with demonstrated numerical accuracy within 0.01 eV
Sections Included:
Introduction; Theoretical Background
Year:
2019
Region / City:
Cincinnati, OH
Theme:
Physical Therapy, Rehabilitation, Healthcare
Document Type:
Resume
Organization / Institution:
University of Cincinnati, West Chester Hospital, Tri-Health Rehabilitation Hospital
Author:
Reid Becker
Target Audience:
Employers in healthcare, rehabilitation facilities
Period of Action:
2016-2019
Approval Date:
Not specified
Modification Date:
Not specified
Document Type:
Academic case assignment
Subject:
Managerial accounting and statistical analysis
Organization:
Vines Street
Individuals Mentioned:
Aimee Novak; Bruce Morgan
Topics:
Contribution margin analysis; Regression analysis; Hypothesis testing; Marginal cost and marginal revenue; Profit maximization; Breakeven analysis; Security upgrade cost; Store closing time decision
Business Context:
Retail operations and extended store hours evaluation
Time Frame Referenced:
Current closing time of 10 pm; Proposed extension up to 4 am; Annual analysis based on 360 business days
Required Methods:
Scatter plot; Linear regression; Two-tailed statistical test; Breakeven calculation; Straight-line depreciation
Year:
2026
Institution:
South Dakota State University
Type of document:
Constitution and bylaws
Organization:
Helping Everyone Reach Optimal Health (HEROH)
Purpose:
Student health education and wellness promotion
Membership:
Enrolled students, honorary members
Leadership:
President, Vice President, Secretary, Treasurer, Ex-Officio, four permanent chairs
Meetings:
Bi-weekly regular meetings, special meetings as needed
Finances:
Managed through SDSU accounts, adherence to university guidelines
Training:
Certified Peer Health Educators program
Advisor:
Health Educator from SDSU Wellness Center, one-year renewable term
Policies:
Member conduct, confidentiality, removal and reinstatement procedures
Scope:
Campus-wide student wellness activities and education programs
Year:
2026
Region / Institution:
Guangdong Ocean University, University of Science and Technology Beijing, AiMaterials Research LLC
Subject:
Materials science, machine learning, high-entropy alloys
Document type:
Supplementary data / research article
Authors:
Cheng Wen, Yan Zhang, Changxin Wang, Haiyou Huang, Yuan Wu, Turab Lookman, Yanjing Su
Corresponding authors:
Turab Lookman, Yanjing Su
Methodology:
Machine learning, NSGA-II algorithm, bootstrap sampling, Pareto optimization
Target properties:
Strength, ductility of refractory high-entropy alloys
Software / Tools:
RStudio, caret package
Data handling:
Training/testing data split, cross-validation, hyperparameter optimization
Publication context:
Supplementary material to a scientific study on alloy design
Year:
2026
Study Type:
Experimental Data
Field:
Molecular Pathology
Sample Type:
Tissue Samples
Variables Measured:
FAM-CT, CY5-CT, ROX-CT
Experimental Conditions:
Sampling Volume, Homogenate Volume
Authors:
Not specified
Institution:
Not specified
Purpose:
Determine optimal sample and homogenate volumes for molecular analysis
Data Format:
Table
Methodology:
Quantitative measurement of fluorescence thresholds
Year:
2024
Region / City:
New Zealand
Topic:
Medical research, concussion biomarkers
Document Type:
Consent form
Institution:
Health and Disability Ethics Committee, New Zealand
Principal Investigator:
Professor Patria Hume
Co-Investigators:
Dr Ed Maunder, Professor Alice Theadom, Dr Beth McQuiston, Dr Chris Puliu’vea, Dr Doug King, Dr Stephen Kara, Assoc Prof Mangor Pedersen, Dr Liza Kunz, et al.
Target Audience:
Female research participants
Study Period:
November 2024 – March 2025
Ethics Approval Date:
March 2025
Ethics Reference Number:
HDEC 2024 EXP 21888
Trial Registry:
ANZCTR ACTRN12625000260426
Consent Type:
Informed voluntary participation with options for data use and future contact
Year:
2021
Region / City:
USA, Uganda, Vietnam
Topic:
Pharmacokinetics of Rifapentine
Document Type:
Supplementary Materials
Organization / Institution:
Centers for Disease Control and Prevention, University of California San Francisco, University of Texas Health Science Center, and others
Authors:
Radojka M. Savic, Marc Weiner, William Mac Kenzie, Melissa Engle, William C. Whitworth, John L. Johnson, Pheona Nsubuga, Payam Nahid, Nhung Viet Nguyen, Charles A. Peloquin, Kelly Dooley, Susan E. Dorman
Target Audience:
Researchers, clinicians, health professionals
Date of Approval:
Not provided
Date of Modifications:
Not provided
Year:
2023
Region / City:
Not specified
Subject:
Nursing Practice
Document Type:
Assignment Template
Institution / Organization:
Not specified
Author:
Not specified
Target Audience:
Advanced Practice Nurses, FNP students
Application Period:
Weekly meetings
Date of Instructions:
Not specified
References:
Ampherson, 2017; Zanta et al., 2018
Single Spacing Requirement:
Table content only
Year:
2026
Region / city:
European Union
Topic:
Personalized Medicine for Cardiovascular, Metabolic, and Kidney Diseases
Document type:
Pre-proposal application form
Organization / Institution:
European Union Funding Agencies
Author:
Not specified
Target audience:
Research institutions, academic institutions, and industry partners
Duration:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Contextual description:
A pre-proposal application form for the CARMEN2026 joint transnational call for proposals aimed at personalized medicine for cardiovascular, metabolic, and kidney diseases.
Year:
2025-2026
Region / City:
Dallas, Texas
Subject:
Invasive Cardiovascular Technology
Document Type:
Program Information Packet
Institution:
Dallas College
Author:
Dallas College School of Health Sciences
Target Audience:
Prospective Students
Period of Validity:
May 2026 Program Application
Approval Date:
Not specified
Date of Modifications:
Not specified
Year:
2023
Region / City:
Tower Hamlets
Topic:
Cardiovascular Disease (CVD) prevention and management
Document Type:
Health Needs Assessment
Organ / Institution:
Tower Hamlets Public Health
Author:
Not specified
Target Audience:
Health professionals, local policy makers, community health stakeholders
Period of Action:
Not specified
Approval Date:
23/05/2023
Date of Changes:
Not specified