Re: [one week to the submission deadline] AIdSH: International Workshop on AI-driven Smart Healthcare co-located with GLOBECOM 2020

Actually, I am working on brain to model KR and building experiment on
cognitive dissonance and KR etc
Hoever, I think that stratml (or any structured K schema) could be part of
the solution to address both bias
provide support in the case cognitive disorders, for example it could help
disambiguation, mnemonics but maybe a bit more down the line. It may be key
to start writing up drafts so when the conference opportunity arrives you
already made a start

On Thu, Jul 9, 2020 at 9:22 PM carl mattocks <carlmattocks@gmail.com> wrote:

> Paola
>
> Understood you have priorities. Good luck with meeting those deadlines
>
> Give a key aspect is planning a change to BIAS - and you have stated there
> is more to be done on that - we will continue to lookout for US conference
> opportunities
>
> carl
> It was a pleasure to clarify
>
>
> On Wed, Jul 8, 2020 at 6:12 PM Paola Di Maio <paoladimaio10@gmail.com>
> wrote:
>
>> Carl
>> Thanks for sharing
>>
>> I have multiple deadlines and writing papers on topics  I am engaged with
>> in my work which I need to publish with priority and I am the main author-
>> straml is not really my topic, although I appreciate its benefits
>>
>> If you have a draft ready for submission by the deadline, I may be able
>> to contribute/editing it
>> However, I am thinking that there are/should be many such conferences in
>> the US, why dont you go ahead and prepare a paper
>> have it for submission when the next conference comes up
>>
>> P
>>
>>
>>
>>
>> On Wed, Jul 8, 2020 at 10:11 PM carl mattocks <carlmattocks@gmail.com>
>> wrote:
>>
>>> Paola
>>>
>>> Outline of StratML work  packaged for   'Explainable AI models for
>>> health, biology and medicine'   would focus on AI Strategist planned
>>> change for an Artificial Intelligence/Machine Learning (AI/ML)-Based
>>> Software as a Medical Device (SaMD) -
>>>
>>> AI Strategist Plan would include change to  (1) Performance . (2)
>>> Inputs used by the algorithm . (3)  intended use .
>>>
>>>    1. A key  Goal > Objective would address BIAS.
>>>    2. Another Goal > Objective would focus on  Algorithm Change
>>>    Protocol
>>>    3. Additional   Goal > Objective would  evaluate the modifications
>>>    based on risk to patients
>>>
>>>
>>>
>>> (2). (3) are  discussed
>>> https://www.fda.gov/files/medical%20devices/published/US-FDA-Artificial-Intelligence-and-Machine-Learning-Discussion-Paper.pdf
>>>
>>>
>>>   The predetermined change control plan would include the types of
>>> anticipated modifications – SaMD Pre-Specifications – based on the
>>> retraining and model update strategy, and the associated methodology –
>>> Algorithm Change Protocol – being used to implement those changes in a
>>> controlled manner that manages risks to patients.  ...
>>> as is : The types of modifications generally fall into three broad
>>> categories: • Performance – clinical and analytical performance14; • Inputs
>>> used by the algorithm and their clinical association to the SaMD output;
>>> and/or • Intended use15 – The intended use of the SaMD, as outlined above
>>> and in the IMDRF risk categorization framework, described through the
>>> significance of information provided by the SaMD for the state of the
>>> healthcare situation or condition.
>>>
>>> Carl
>>> It was a pleasure to clarify
>>>
>>>
>>> On Tue, Jul 7, 2020 at 7:36 PM Paola Di Maio <paola.dimaio@gmail.com>
>>> wrote:
>>>
>>>> Just yesterday I was looking for forthcoming conferences in Taipei -
>>>> but this one either did not come up, or
>>>> I didnt see it -overload?
>>>> Yes, I ll be happy to work on a submission as you suggest,  at the same
>>>> time I have one or two topics
>>>> of my own I am working on, assume they accept multiple submissions?
>>>> Please start drafting the outline of a paper you have in mind and share
>>>> the draft, if you want we can have a quick call
>>>> to scope this before we get down to hack it. Thank you
>>>> PDM
>>>>
>>>> On Tue, Jul 7, 2020 at 10:50 PM carl mattocks <carlmattocks@gmail.com>
>>>> wrote:
>>>>
>>>>> paola
>>>>>
>>>>> have you considered participating in the AIdSH: International Workshop
>>>>> on AI-driven Smart Healthcare . held in Taipei, Taiwan 7-11 December 2020?
>>>>>
>>>>> Do you think our StratML work may be packaged as   'Explainable AI
>>>>> models for health, biology and medicine'    ?
>>>>>
>>>>>
>>>>> Carl
>>>>> It was a pleasure to clarify
>>>>>
>>>>>
>>>>> ---------- Forwarded message ---------
>>>>> From: <angalletta@ieee.org>
>>>>> Date: Tue, Jul 7, 2020 at 3:31 AM
>>>>> Subject: [one week to the submission deadline] AIdSH: International
>>>>> Workshop on AI-driven Smart Healthcare co-located with GLOBECOM 2020
>>>>> To: <semantic-web@w3.org>
>>>>>
>>>>>
>>>>> Dear users of Semantic-Web mailing list,
>>>>> FYI
>>>>> [Apologies if you receive multiple copies of this CFP]
>>>>>
>>>>>
>>>>> ===========================================================================
>>>>> AIdSH: International Workshop on AI-driven Smart Healthcare
>>>>> The conference will be held in Taipei, Taiwan
>>>>> 7-11 December 2020
>>>>>
>>>>> https://globecom2020.ieee-globecom.org/workshop/ws-11-workshop-ai-driven-smart-healthcare-aidsh
>>>>> in conjunction with the 2020 IEEE Global Communications Conference
>>>>> (GLOBECOM)
>>>>>
>>>>> ===========================================================================
>>>>>
>>>>> MISSION:
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Health is one of the major research topics that have been attracting
>>>>> cross-disciplinary research groups. The deployment of new emerging
>>>>> technologies for Health, with the gradual integration of Internet of Things
>>>>> (IoT) and Artificial Intelligence techniques, is attracting the interest of
>>>>> many researchers. Within this framework, healthcare is becoming a
>>>>> ubiquitous, complex, sophisticated, efficient and autonomous ecosystem.
>>>>> The workshop on AI-driven Smart Healthcare (AIdSH) aims at bringing
>>>>> together researchers from academia, industry, government and medical
>>>>> centers in order to present the state of the art and discuss the latest
>>>>> advances in the emerging area of the use of Internet of Things (IoT),
>>>>> Artificial Intelligence, and Soft Computing techniques, be they black boxes
>>>>> or explanation-based, to signals, images, and data in the fields of
>>>>> medicine, healthcare and wellbeing.
>>>>> An important aspect related to the healthcare systems is the
>>>>> implementation of apt security measures. About that, one of the latest
>>>>> trends involves artificial intelligence (AI)-driven technologies that allow
>>>>> seamless management of heterogeneous data while designing highly decisive
>>>>> attack patterns to accurately foresee hacker’s behavior. Additionally,
>>>>> game-theoretic approaches have also surfaced as eminent candidates for
>>>>> cyber defense to optimally address the complex decision-making problems
>>>>> AIdSH is expected to cover the whole range of theoretical and
>>>>> practical aspects, technologies and systems related to the application of
>>>>> artificial intelligence and soft computing methodologies to issues as
>>>>> machine learning, deep learning, knowledge discovery, decision support,
>>>>> regression, forecasting, optimization and feature selection in the
>>>>> healthcare and wellbeing domain, as well as the application of AI-based
>>>>> cyber security for smart healthcare ecosystem.
>>>>> In light of the current pandemic, severely affecting the whole world,
>>>>> papers focusing on the application of the above ideas to any issue related
>>>>> to COVID-19 are highly welcome.
>>>>>
>>>>>
>>>>> TOPICS:
>>>>> ------------------------------------------------------------------------------
>>>>>
>>>>> The topics of interest include, but are not limited to, the
>>>>> application of Internet of Things (IoT), Artificial Intelligence and Soft
>>>>> Computing methodologies to the areas listed below
>>>>> Knowledge Management of Health Data;
>>>>> Data Mining and Knowledge Discovery in Healthcare;
>>>>> Machine and Deep learning approaches for Health Data;
>>>>> Explainable AI models for health, biology and medicine;
>>>>> Decision Support Systems for Healthcare and Wellbeing;
>>>>> AI for Precision Medicine;
>>>>> Optimization for Healthcare problems;
>>>>> Regression and Forecasting for medical and/or biomedical signals;
>>>>> Healthcare Information Systems;
>>>>> Wellness Information Systems;
>>>>> Medical Signal and Image Processing and Techniques;
>>>>> Medical Expert Systems;
>>>>> Diagnosis and Therapy Support Systems;
>>>>> Biomedical Applications;
>>>>> Applications of AI in Healthcare and Wellbeing Systems;
>>>>> Machine Learning-based Medical Systems;
>>>>> Medical Data and Knowledge Bases;
>>>>> Neural Networks in Medicine;
>>>>> Ambient Intelligence and Pervasive Computing in Medicine and
>>>>> Healthcare;
>>>>> AI in genomics;
>>>>> AI for Healthcare Social Networks;
>>>>> New framework, algorithms, and protocol designs for AI-based
>>>>> healthcare Cyber Physical Systems (CPSs);
>>>>> Case-studies, applications, and prototypes for healthcare cyber
>>>>> security;
>>>>> Simulation, testing and formal verification of AI-based security
>>>>> solutions for healthcare;
>>>>> Machine learning driven IDS/IPS solutions for healthcare CPSs;
>>>>> Networking and Computing Architecture AI-based healthcare CPSs;
>>>>> Big data analytic frameworks for AI-powered healthcare CPSs;
>>>>> Game theory based secure and trustable solutions for healthcare
>>>>> systems;
>>>>> Cloud/grid/edge computing for healthcare CPSs;
>>>>> Data-driven optimization of AI-based healthcare networks;
>>>>> Proactive network monitoring architecture for healthcare CPSs;
>>>>> Energy-efficient network operations for healthcare CPSs via AI/ML;
>>>>> Self-Learning and adaptive networking protocols for real-world CPSs;
>>>>> Exploiting 5G and Beyond for AI-aided healthcare solutions;
>>>>> Deep and reinforcement learning based security solutions for attack
>>>>> prediction in CPSs;
>>>>> AI based security solutions for IMDs, smart sensors, wearables, etc;
>>>>> Human-machine interaction for healthcare cyber security;
>>>>> Other standards, policies and regulations for integrating IoT
>>>>> paradigms in CPSs.
>>>>>
>>>>>
>>>>> PAPER SUBMISSION:
>>>>> ------------------------------------------------------------------------------
>>>>>
>>>>> Manuscripts should describe original work and should be no more than
>>>>> SIX (6) printed pages (10-point font) and must be written in English.
>>>>> Initial submissions longer than SIX (6) pages will be rejected without
>>>>> review.
>>>>> All final submissions of accepted papers must be written in English
>>>>> with a maximum paper length of six (6) printed pages (10-point font)
>>>>> including figures. No more than one (1) additional printed page (10-point
>>>>> font) may be included in final submissions and the extra page (the 7th
>>>>> page) will incur an over length page charge of US$100. All final papers
>>>>> must be submitted to the IEEE Conference eXpress website.
>>>>>
>>>>> Authors must use the IEEE conference proceedings format obtainable at:
>>>>> https://www.ieee.org/conferences/publishing/templates.html
>>>>>
>>>>> All papers for the AIdSH Workshop should be submitted via EDAS using
>>>>> the following link: https://edas.info/N27527
>>>>>
>>>>> At least one author of each accepted paper is required to register for
>>>>> the conference and present the paper. Only registered and presented papers
>>>>> will be published in the conference proceedings. Accepted and presented
>>>>> papers will be published in the IEEE GLOBECOM 2020 Conference Proceedings
>>>>> and submitted to IEEE Xplore.
>>>>>
>>>>> If you have any questions regarding the submission of manuscripts,
>>>>> please contact one of the Technical Program Chairs of the Symposia that you
>>>>> are submitting a paper.
>>>>>
>>>>>
>>>>> JOURNAL SPECIAL ISSUES:
>>>>> ------------------------------------------------------------------------------
>>>>>
>>>>> Authors of selected papers will be invited to submit an extended
>>>>> version on prestigious international journal special issues that are
>>>>> connected to AI-driven Smart Healthcare:
>>>>> IEEE Journal on Biomedical and Health Informatics - ISSN 2073-431X,
>>>>> Scopus (Elsevier) and Web of Science (Clarivate Analytics), Impact Factor
>>>>> 4.217 - Special Issue on “Enabling Technologies for Next Generation
>>>>> Telehealthcare”.
>>>>> Computers - ISSN 2073-431X, Scopus (Elsevier) and Web of Science
>>>>> (Clarivate Analytics) indexed - Special Issue on "Artificial Intelligence
>>>>> for Health". Article Processing Charges (APC) waived for authors.
>>>>> Human-centric Computing and Information Sciences - ISSN: 2192-1962,
>>>>> Springer and Web of Science (Clarivate Analytics) indexed, Impact Factor
>>>>> 3.212.
>>>>>
>>>>>
>>>>> IMPORTANT DATES:
>>>>> ------------------------------------------------------------------------------
>>>>>
>>>>> Submission: 15 July 2020
>>>>> Notification: 1 September 2020
>>>>> Camera Ready: 1 October 2020
>>>>>
>>>>>
>>>>> VENUE:
>>>>> ------------------------------------------------------------------------------
>>>>>
>>>>> The conference will be held in Taipei, Taiwan
>>>>> More info will be available soon on the 2020 IEEE Global
>>>>> Communications Conference (GLOBECOM)
>>>>> (https://globecom2020.ieee-globecom.org/)
>>>>>
>>>>>
>>>>> FOR ANY OTHER INFORMATION, PLEASE VISIT
>>>>>
>>>>> https://globecom2020.ieee-globecom.org/workshop/ws-11-workshop-ai-driven-smart-healthcare-aidsh
>>>>> or email us at:
>>>>> aidsh-2020@googlegroups.com
>>>>>
>>>>