AIMC Topic: International Cooperation
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Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.
PloS one
Oct 28, 2020
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 information. A K% binning discretisation (K = 25) is used to create four risk groups of countries base...
Forecasting
SARS-CoV-2
Global Health
Risk Assessment
Models, Theoretical
Machine Learning
Pandemics
COVID-19
Algorithms
Reagent Kits, Diagnostic
Disaster Planning
International Cooperation
Clinical Laboratory Techniques
Betacoronavirus
Support Vector Machine
Decision Trees
Coronavirus Infections
COVID-19 Testing
Classification
Humans
Pneumonia, Viral
COVID-19 and the Futures of Machine Learning.
Omics : a journal of integrative biology
Jun 8, 2020
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.
Scientific reports
Feb 17, 2020
We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput...
Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
Journal of the American Academy of Dermatology
Jul 12, 2019
BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.
Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose.
PloS one
Oct 19, 2018
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variability. Incorrect warfarin dosing is associated with devastating adverse events. Remarkable efforts have been made to develop the machine learning based wa...
Databases, Factual
Female
Aged
Aged, 80 and over
Vitamin K Epoxide Reductases
Drug Administration Schedule
Male
Middle Aged
Multivariate Analysis
Humans
Anticoagulants
Pharmacogenetics
Machine Learning
Warfarin
International Cooperation
Algorithms
Cohort Studies
Thrombosis
Linkage Disequilibrium
Polymorphism, Single Nucleotide
Medical Errors
Hemorrhage
Genotype
Toward a standard ontology of surgical process models.
International journal of computer assisted radiology and surgery
Jul 13, 2018
PURPOSE: The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surgery have mainly been focussing o...
Pooled analysis of stereotactic ablative radiotherapy for primary renal cell carcinoma: A report from the International Radiosurgery Oncology Consortium for Kidney (IROCK).
Cancer
Dec 20, 2017
BACKGROUND: Stereotactic ablative radiotherapy (SABR) is an emerging therapy for primary renal cell carcinoma. The authors assessed safety, efficacy, and survival in a multi-institutional setting. Outcomes between single-fraction and multifraction SA...
Exchanging expertise and constructing boundaries: The development of a transnational knowledge network around heroin-assisted treatment.
The International journal on drug policy
Dec 17, 2015
Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, tested and in some cases introduced as a second line treatment for limited groups of entrenched heroin users in a number of European countries and Cana...
Heroin
Heroin Dependence
Interdisciplinary Communication
Cooperative Behavior
Behavior, Addictive
Drug Users
Humans
Qualitative Research
Evidence-Based Medicine
Treatment Outcome
Administration, Inhalation
Injections, Intravenous
Public Opinion
Analgesics, Opioid
International Cooperation
Knowledge Bases
Stakeholder Participation
Establishing a multi-institutional registry to compare the outcomes of robotic, laparoscopic, and open surgery for gastric cancer.
Surgery
Jan 26, 2015
Barriers and Facilitators for Federated Health Data Networks: Lessons Learned from a Nordic-Baltic Experience.
Studies in health technology and informatics
May 15, 2025
The era of artificial intelligence (AI) and big data presents significant opportunities for implementing federated health data networks across national borders. However, these opportunities are accompanied by substantial challenges. This study docume...
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