Improving epidemiological research: avoiding the statistical paradoxes and fa...Maarten van Smeden
Keynote at Norwegian Epidemiological Association conference, October 26 2022. Discussing absence of evidence fallacy, Table 2 fallacy, Winner's curse and Stein's paradox.
Development and evaluation of prediction models: pitfalls and solutionsMaarten van Smeden
Slides for the statistics in practice session for the Biometrisches Kolloqium (organized by the Deutsche Region der Internationalen Biometrischen Gesellschaft), 18 March 2021
Improving predictions: Lasso, Ridge and Stein's paradoxMaarten van Smeden
Slides of masterclass "Improving predictions: Lasso, Ridge and Stein's paradox" at the (Dutch) National Institute for Public Health and the Environment (RIVM)
Clinical trials are about comparability not generalisability V2.pptxStephenSenn2
Lecture delivered at the September 2022 EFSPI meeting in Basle in which I argued that the patients in a clinical trial should not be viewed as being a representative sample of some target population.
Generating Realistic Synthetic Data in FinanceGautier Marti
Talk at IHS Markit Webinar (15 October 2020) on the potential Applications of GANs in Finance. These models could be useful for quants and their managers to avoid over-fitting, portfolio and risk managers for proper capital and risk allocation, cloud computing servicing willing to work with banks and other sensitive data rich organizations, auditors and regulators to detect frauds, and data vendors (such as IHS Markit) to bring new products to market and iterate quickly with clients.
Developing and validating statistical models for clinical prediction and prog...Evangelos Kritsotakis
Talk on clinical prediction models presented at the Joint Seminar Series in Translational and Clinical Medicine organised by the University of Crete Medical School, the Institute of Molecular Biology and Biotechnology of the Foundation for Research and Technology Hellas (IMBB-FORTH), and the University of Crete Research Center (UCRC), Heraklion [online], Greece, April 7, 2021.
Dichotomania and other challenges for the collaborating biostatisticianLaure Wynants
Conference presentation at ISCB 41 in the session
"Biostatistical inference in practice: moving beyond false
dichotomies"
A comment in Nature, signed by over 800 researchers, called for the scientific community to “retire statistical significance”. The responses included a call to halt the use of the term „statistically significant”, and changes in journal’s author guidelines. The leading discourse among statisticians is that inadequate statistical training of clinical researchers and publishing practices are to blame for the misuse of statistical testing. In this presentation, we search our collective conscience by reviewing ethical guidelines for statisticians in light of the p-value crisis, examine what this implies for us when conducting analyses in collaborative work and teaching, and whether the ATOM (accept uncertainty; be thoughtful, open and modest) principles can guide us.
Improving epidemiological research: avoiding the statistical paradoxes and fa...Maarten van Smeden
Keynote at Norwegian Epidemiological Association conference, October 26 2022. Discussing absence of evidence fallacy, Table 2 fallacy, Winner's curse and Stein's paradox.
Development and evaluation of prediction models: pitfalls and solutionsMaarten van Smeden
Slides for the statistics in practice session for the Biometrisches Kolloqium (organized by the Deutsche Region der Internationalen Biometrischen Gesellschaft), 18 March 2021
Improving predictions: Lasso, Ridge and Stein's paradoxMaarten van Smeden
Slides of masterclass "Improving predictions: Lasso, Ridge and Stein's paradox" at the (Dutch) National Institute for Public Health and the Environment (RIVM)
Clinical trials are about comparability not generalisability V2.pptxStephenSenn2
Lecture delivered at the September 2022 EFSPI meeting in Basle in which I argued that the patients in a clinical trial should not be viewed as being a representative sample of some target population.
Generating Realistic Synthetic Data in FinanceGautier Marti
Talk at IHS Markit Webinar (15 October 2020) on the potential Applications of GANs in Finance. These models could be useful for quants and their managers to avoid over-fitting, portfolio and risk managers for proper capital and risk allocation, cloud computing servicing willing to work with banks and other sensitive data rich organizations, auditors and regulators to detect frauds, and data vendors (such as IHS Markit) to bring new products to market and iterate quickly with clients.
Developing and validating statistical models for clinical prediction and prog...Evangelos Kritsotakis
Talk on clinical prediction models presented at the Joint Seminar Series in Translational and Clinical Medicine organised by the University of Crete Medical School, the Institute of Molecular Biology and Biotechnology of the Foundation for Research and Technology Hellas (IMBB-FORTH), and the University of Crete Research Center (UCRC), Heraklion [online], Greece, April 7, 2021.
Dichotomania and other challenges for the collaborating biostatisticianLaure Wynants
Conference presentation at ISCB 41 in the session
"Biostatistical inference in practice: moving beyond false
dichotomies"
A comment in Nature, signed by over 800 researchers, called for the scientific community to “retire statistical significance”. The responses included a call to halt the use of the term „statistically significant”, and changes in journal’s author guidelines. The leading discourse among statisticians is that inadequate statistical training of clinical researchers and publishing practices are to blame for the misuse of statistical testing. In this presentation, we search our collective conscience by reviewing ethical guidelines for statisticians in light of the p-value crisis, examine what this implies for us when conducting analyses in collaborative work and teaching, and whether the ATOM (accept uncertainty; be thoughtful, open and modest) principles can guide us.
Journal of Management Science & Engineering Research | Vol.3, Iss.2 September...Bilingual Publishing Group
● Analysis of Service Delivery Improvement of Manufactured Products with Lean Method Management
● Knowledge Sharing and Innovation in Small Medium Enterprises (SMEs) Moderated by Creative Leadership
● Online Shopping: Antecedents of Attitude, Intention and Use
● Preparedness, Raising the Level of Preparedness and Enhancing Contemporary Prevention Methods to Get Rid of the Risks of Deadly Health Crises and Their Implications for the Health of Workers
● Research on the Prediction of Quay Crane Resource Hour based on Ensemble Learning
● The effect of critical success factors in the application of six sigma methodology on the quality of construction projects' output
Smartphone Uses and its Effects on Health of Adolescentsijtsrd
Smartphone usage has been increased dramatically which helps in easy communication but in another side it also affect the health of users if not used in healthy way. Aims The aim of the study was to assess the uses of smartphone by adolescents and its effects on their health. Setting and design Study was conducted in a private school of Doiwala, Dehradun and the design was descriptive survey design. Methodology 154 adolescents 11th and 12th class were selected through purposive sampling technique. Data was collected by administering questionnaire to the participants. Tool consist baseline data, rating scale for uses of smartphone and self reported checklist to assess health effects. Statistical analysis The data was analyzed by using descriptive and inferential statistics such as frequency, percentage distribution and chi square. Results The result shows that 11 adolescents were excessive users of smartphone. 81.3 adolescents uses their smartphone for approx one to four hours daily. More than half adolescents were using internet, among them around 24.5 adolescents had their account on social media. Regarding effect on health, most common complaint was headache 61 followed by eye discomforts 44 , neck pain 43 , and wrist pain 41.6 . Conclusion Study concludes that use of smartphone affects health of adolescents and also has an impact on their study and physical activities so adolescents should be encouraged for healthy use of smartphone to gain maximum benefits of gadget. Mr. Moirangthem Binanda Singh | Dr. Vandana Chauhan | Mr. Atul Kumar "Smartphone Uses and its Effects on Health of Adolescents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30296.pdf Paper Url :https://www.ijtsrd.com/medicine/nursing/30296/smartphone-uses-and-its-effects-on-health-of-adolescents/mr-moirangthem-binanda-singh
ANNUAL SCIENTIFIC MEETING 2018
Digitalisasi Kesehatan untuk Mendukung Smart City: dari konsep menuju implementasi
Fakultas Kedokteran Universitas Gadjah Mada
29 Maret 2018
Social Media and Medicine: Relevance to Cancer CareMatthew Katz
Social media are pervasive, powerful communications tools. What are the risks and benefits of using them in cancer care? I discuss it in this talk at Yale April 10, 2014.
The proof of the pudding. First results of a primary care consulting service on Twitter.
Presentation delivered at Medicine 2.0 congress at Maastricht, november 2010
Digital communications are changing how we share health information. Are social media compatible with academic medicine and oncology?
This is a talk given at Brigham & Women's Hospital to the Harvard Radiation Oncology Program residents and staff on December 19 2014. It is intended as a survey rather than definitive presentation, highlighting the need for more research.
Meyer staying connected when is mobile technology harmful to patients fina...Conrad Meyer JD MHA FACHE
Staying connected when is mobile technology harmful to patients: Physicians and nurses are constantly interrupted and distracted during delivery of healthcare to patients. Since healthcare is data driven, Physicians and nurses are using smartphones, tablets, iPhones, iPads and other devices to constantly stay connected to the latest data. In addition, studies show that society as a whole, including Physicians and nurses, feel a constant desire to "stay connected" to the internet and social media. So when does all of this connectivity harm patients? When Physicians and nurses are distracted and lose focus from tending to their patients, bad things can happen - missteps, missed medications, over medications, wrong side surgeries, etc. just to name a few. When patients are paying for a Physician's or a nurse's focus - patients should expect to receive it. The challenge for Hospitals, Physicians and nurses in this age of "staying connected" is how to manage all of the distractions, whether or not causes by smartphones or tablets, and to provide the focus of their attention on those who not only paid for it, but expect it to make sure they receive the healthcare they need: the patients. This presentation provides some insights on what other studies have found and some suggestions on what policies might help in managing the distractions/interruptions healthcare providers face in the ever growing digital age!
Giris basics of biomedical informatics generalSerkan Turkeli
At the end of this course, students will be able to
• Define medical informatics
• Define information management, information technology and informatics
• Define concepts of medical informatics
• Selecting best techniques to manage a medical informatics project.
Informatics for Disease Surveillance – New TechnologiesDr Wasim Ahmed
A guest lecture on informatics for disease surveillance, looking at a number of new new technologies. Delivered at the School of Health and Related Research.
Disseminating Scientific Papers via Twitter: Practical Insights and Research ...SC CTSI at USC and CHLA
About one-fifth of current scientific papers are being shared on Twitter. With 230 million active users and 24 percent of the U.S. online population using the microblogging platform, hopes are high that tweets mentioning scientific articles reflect some type of interest by the general public and might even be able to measure the societal impact of research. However, early studies show that most of the engagement with scientific papers on Twitter takes place among members of academia and thus reflects visibility within the scientific community rather than impact on society. At the same time, some tweets do not involve any human engagement but rather are generated automatically by Twitter bots.
This talk focuses on identifying audiences on Twitter and teaches participants how to collect, analyze, visualize, and interpret diffusion patterns of scientific articles on Twitter. The course provides an overview of Altmetrics research and present the challenges – including methods and first results – of classifying Twitter user groups, with a particular focus on identifying members of the general public and measuring societal impact. The course will provide hands-on exercises and instructions on how to analyze by whom, when, and how scientific papers are shared on Twitter.
Speaker: Stefanie Haustein, Ph.D., Assistant Professor, School of Information Studies, University of Ottawa
The absence of a gold standard: a measurement error problemMaarten van Smeden
Talk about gold standard problems and solutions in medicine and epidemiology. Invited by the department of infectious disease epidemiology, University Medical Center Utrecht
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
1. Uncertainty
in AI
Maarten van Smeden, PhD
Julius Center for Health Sciences
and Primary Care, UMC Utrecht
SIDM The future of diagnosis
Utrecht, 4 July 2023
10. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Ayers, JAMA Int Med, 2023, doi: 10.1001/jamainternmed.2023.1838
*Answers by healthcare professionals on Redit vs ChatGPT
14. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Proportion of studies indexed in Medline with the Medical Subject
Heading (MeSH) term “Artificial Intelligence”
Faes et al. doi: 10.3389/fdgth.2022.833912
15. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Example: retinal disease
Gulshan et al, JAMA, 2016, 10.1001/jama.2016.17216; Picture retinopathy: https://bit.ly/2kB3X2w
Diabetic retinopathy
Deep learning (= Neural network)
• 128,000 images
• Sensitivity and specificity > .90
27. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Uncertainty
#1: has it
been well
developed?
28. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Example: living review
COVID-19 prediction models
• 731 prediction models between
March 2020 and February 2021
• Many models poorly reported
• Only 4% low risk of bias
31. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
“55.6% studies made recommendations
For clinical use in their main text without
any external validation”
“84% of developed models … were at
overall high risk of bias.”
35. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Development of the AI is only one element
Source: https://tinyurl.com/jr23pdsk; courtesy Dr Ilse Kant (UMCU)
36. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Pipeline of algorithmic medicine failure
Van Royen et al, ERJ, 2922, doi:10.1183/13993003.00250-2022, also credits to Laure Wynants
37. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Uncertainty #3:
is it sufficiently
safe and
effective to be
used?
39. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Guideline diagnostic/prognostic applications of AI
https://www.leidraad-ai.nl/
40. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Guideline diagnostic/prognostic applications of AI
https://www.leidraad-ai.nl/
Collection and
management of the
data
Phase 1
Development of the
AIP
Phase 2
Validation of the
AIPA
Phase 3
Development of the
required software
Phase 4
Impact assessment
of the AIPA in
combination with
the software
Phase 5
Implementation
and use of the AIPA
with software in
daily practice
Phase 6
Saskia Haitjema
Andre Dekker
Paul Algra
Amy Eikelenboom
Christian van
Ginkel
Martine de Vries
Daniel Oberski
Desy Kakiay
Kicky van
Leeuwen
Joran Lokkerbol
Evangelos
Kanoulas
Gabrielle
Davelaar
Wouter Veldhuis
Bart-Jan Verhoeff
Vincent Stirler
Daan van den
Donk
Huib Burger
Giovanni Cina
Martijn van der
Meulen
Maurits Kaptein
Floor van
Leeuwen
Egge van der Poel
Marcel Hilgersom
Sade Faneyte
Jonas Teuwen
Teus Kappen
Ewout Steyerberg
Leo Hovestadt
René Drost
Bart Geerts
Anne de Hond
René Verhaart
Nynke Breimer
Karen Wiegant
Laure Wynants
Lysette
Meuleman
41. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Guideline diagnostic/prognostic applications of AI
https://www.leidraad-ai.nl/
Collection and
management of the
data
Phase 1
Development of the
AIP
Phase 2
Validation of the
AIPA
Phase 3
Development of the
required software
Phase 4
Impact assessment
of the AIPA in
combination with
the software
Phase 5
Implementation
and use of the AIPA
with software in
daily practice
Phase 6
Saskia Haitjema
Andre Dekker
Paul Algra
Amy Eikelenboom
Christian van
Ginkel
Martine de Vries
Daniel Oberski
Desy Kakiay
Kicky van
Leeuwen
Joran Lokkerbol
Evangelos
Kanoulas
Gabrielle
Davelaar
Wouter Veldhuis
Bart-Jan Verhoeff
Vincent Stirler
Daan van den
Donk
Huib Burger
Giovanni Cina
Martijn van der
Meulen
Maurits Kaptein
Floor van
Leeuwen
Egge van der Poel
Marcel Hilgersom
Sade Faneyte
Jonas Teuwen
Teus Kappen
Ewout Steyerberg
Leo Hovestadt
René Drost
Bart Geerts
Anne de Hond
René Verhaart
Nynke Breimer
Karen Wiegant
Laure Wynants
Lysette
Meuleman
Traditionally, most
attention goes to
42. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Guideline diagnostic/prognostic applications of AI
https://www.leidraad-ai.nl/
Collection and
management of the
data
Phase 1
Development of the
AIP
Phase 2
Validation of the
AIPA
Phase 3
Development of the
required software
Phase 4
Impact assessment
of the AIPA in
combination with
the software
Phase 5
Implementation
and use of the AIPA
with software in
daily practice
Phase 6
Saskia Haitjema
Andre Dekker
Paul Algra
Amy Eikelenboom
Christian van
Ginkel
Martine de Vries
Daniel Oberski
Desy Kakiay
Kicky van
Leeuwen
Joran Lokkerbol
Evangelos
Kanoulas
Gabrielle
Davelaar
Wouter Veldhuis
Bart-Jan Verhoeff
Vincent Stirler
Daan van den
Donk
Huib Burger
Giovanni Cina
Martijn van der
Meulen
Maurits Kaptein
Floor van
Leeuwen
Egge van der Poel
Marcel Hilgersom
Sade Faneyte
Jonas Teuwen
Teus Kappen
Ewout Steyerberg
Leo Hovestadt
René Drost
Bart Geerts
Anne de Hond
René Verhaart
Nynke Breimer
Karen Wiegant
Laure Wynants
Lysette
Meuleman
43. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Guideline diagnostic/prognostic applications of AI
https://www.leidraad-ai.nl/
45. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Some remaining questions and challenges
• How do we ensure implemented AI models remain safe and
effective over time and place?
• How do we ensure AI models are not leading to disadvantage
for certain groups of patients?
• How do we let the AI tell us when a diagnosis is uncertain?
• How do we increase trust and transparency of AI models?
Model updating, monitoring, transfer learning
Algorithmic bias, fairness
Conformal prediction
Trustworthy AI, explainable AI
46. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
https://www.umcutrecht.nl/en/campaign/ai-labs
47. Closing remarks
AI is here, and will be part of the future of diagnosis
Implementing AI in healthcare and prevention comes with
some unique (and some less unique) challenges:
the uncertainties of AI
Guidance available on the whole trajectory from concept to
implementation
48. Utrecht, 4 July 2023 Twitter: @MaartenvSmeden
Email: M.vanSmeden@umcutrecht.nl
Twitter: @MaartenvSmeden
https://www.leidraad-ai.nl/
https://www.umcutrecht.nl/en/campaign/ai-labs
Slides available @ https://www.slideshare.net/MaartenvanSmeden/