scholarly journals Disease Prediction by Machine Learning from Healthcare Communities

2019 ◽  
pp. 29-35
Author(s):  
Saiesh Jadhav ◽  
Rohan Kasar ◽  
Nagraj Lade ◽  
Megha Patil ◽  
Shital Kolte
Keyword(s):  
Artificial Intelligence ◽  
Medical Information ◽  
Health Centre ◽  
Network Services ◽  
Disease Prediction ◽  
Choice Making ◽  
Sustainable Improvement ◽  
Ready Time ◽  
Normal Estimate ◽  
The Subject

To promote sustainable improvement, the smart town implies a global imaginative and prescient that merges artificial intelligence, choice making, statistics and conversation era (ICT), and the net-of-things (IoT). in this mission, the subject of disease prediction and prognosis in clever healthcare is reviewed. due to records progress in biomedical and healthcare groups, correct have a look at of clinical data advantages early disorder recognition, patient care and network services. whilst the exceptional of medical information is incomplete the exactness of study is reduced. moreover, exclusive areas exhibit specific appearances of certain regional illnesses, which can also bring about weakening the prediction of sickness outbreaks. within the proposed system, it offers gadget gaining knowledge of algorithms for effective prediction of various disorder occurrences in ailment-frequent societies and predicts the waiting time for each treatment project for every patient as well as a hospital Queuing advice (HQR) system is advanced for recommending treatment mission sequence with appreciate to anticipated ready time. It experiments on a nearby chronic illness of cerebral infarction. using structured and unstructured facts from health centre it makes use of system studying selection Tree algorithm and KNN algorithm. To the first-rate of our knowledge inside the place of medical huge records analytics none of the existing paintings focused on each information types. in comparison to several normal estimate algorithms, the calculation exactness of our proposed set of rules reaches 94.8% with a convergence speed which is faster than that of the CNN-based totally uni-modal ailment threat prediction (CNN-UDRP) algorithm. similarly, challenges within the deployment of sickness diagnosis in healthcare had been mentioned.

The Taxonomic Structuring of Medical Information and its Usefulness in this Form

1965 ◽  
Vol 04 (03) ◽  
pp. 112-114 ◽  
Author(s):  
H. Zinsser
Keyword(s):  
Subject Matter ◽  
Medical Information ◽  
Central Core ◽  
Diagnostic Strategy ◽  
Programmed Instruction ◽  
Orderly Fashion ◽  
The Subject

An outline has been presented in historical fashion of the steps devised to organize the central core of medical information allowing the subject matter, the patient, to define the nature and the progression of the diseases from which he suffers, with and without therapy; and approaches have been made to organize this information in such fashion as to align the definitions in orderly fashion to teach both diagnostic strategy and the content of the diseases by programmed instruction.

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

Autonomous vehicles: a review of the ethical, social and economic implications of the AI revolution

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shweta Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Design Methodology ◽  
Technological Advancement ◽  
Economic Implications ◽  
Content Type ◽  
The Public ◽  
Autonomous Cars ◽  
The Subject ◽  
Practical Implications

PurposeThere are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.Design/methodology/approachMaking use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.FindingsTechnology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.Research limitations/implicationsFrom robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.Practical implicationsFuture shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.Social implicationsThe study will be of interest to researchers, academics and the public in general. It will encourage further thinking.Originality/valueThis is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.

Transfer of consciousness. Considering its possibility or fantasy from the religious and scientific perspectives

DIALOGO ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 189-200
Author(s):  
Tudor-Cosmin Ciocan ◽  
Any Docu Axelerad ◽  
Maria CIOCAN ◽  
Alina Zorina Stroe ◽  
Silviu Docu Axelerad ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Eternal Life ◽  
Human Consciousness ◽  
Religious Believer ◽  
Actual Knowledge ◽  
Holistic Understanding ◽  
The World ◽  
The Subject ◽  
Human Feature ◽  
The Brain

Ancient beliefs such as astral projection, human possession, abduction and other similar are not only universal, taught by all religions, but also used as premises for core believes/expectations, such as after-life, eternal damnation, reincarnation, and many others. Transferring Consciousness to a Synthetic Body is also a feature of interest in our actual knowledge, both religious as for science. If immortality were an option, would you take it into consideration more seriously? Most people would probably dismiss the question since immortality isn’t a real deal to contract. But what if having eternal life was a possibility in today’s world? The possibility of the transfer of human consciousness to a synthetic body can soon become a reality, and it could help the world for the better. Thus, until recently, the subject was mostly proposed by religion(s) and saw as a spiritual [thus, not ‘materially real’ or ‘forthwith accomplishable’] proposal therefore not really fully engaged or trust if not a religious believer. Now, technology is evolving, and so are we. The world has come to a point where artificial intelligence is breaking the boundaries of our perception of human consciousness and intelligence. And with this so is our understanding about the ancient question ‘who are we?’ concerning consciousness and how this human feature sticks to our body or it can become an entity beyond the material flesh. Without being exhaustive with the theme's development [leaving enough room for further investigations], we would like to take it for a spin and see how and where the religious and neuroscience realms intersect with it for a global, perhaps holistic understanding. Developments in neurotechnology favor the brain to broaden its physical control further the restraints of the human body. Accordingly, it is achievable to both acquire and provide information from and to the brain and also to organize feedback processes in which a person's thoughts can influence the activity of a computer or reversely.

scholarly journals Developing robots: The need for an ethical framework

European View ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 37-43 ◽  
Author(s):  
Alex Leveringhaus
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Human Dignity ◽  
Ethical Framework ◽  
Foreseeable Future ◽  
Policy Level ◽  
Technological Developments ◽  
The Subject ◽  
Ethical Approaches ◽  
Robotic Technologies

This article discusses the need for an ethical framework for emerging robotic technologies. The temptation, arguably driven by sci-fi treatments of artificial intelligence, is to ask whether future robots should be considered quasi-humans. This article argues that such sci-fi scenarios have little relevance for current technological developments in robotics, nor for ethical approaches to the subject: for the foreseeable future robots will merely be useful tools. In response to emerging robotic technologies, this article proposes an ethical framework that makes a commitment to human rights, human dignity and responsibility a central priority for those developing robots. At a policy level, this entails (1) assessing whether the use of particular robots would result in human rights violations and (2) creating adequate institutions through which human individuals can be held responsible for what robots do.

scholarly journals Digitalization and Artificial Intelligence in Migration and Mobility: Transnational Implications of the COVID-19 Pandemic

Societies ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 135
Author(s):  
Marie McAuliffe ◽  
Jenna Blower ◽  
Ana Beduschi
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
International Development ◽  
Digital Technology ◽  
Design Development ◽  
Systemic Risks ◽  
Challenges And Opportunities ◽  
The Subject ◽  
And Migration ◽  
Migration Systems

Digitalization and artificial intelligence (AI) technologies in migration and mobility have incrementally expanded over recent years. Iterative approaches to AI deployment experienced a surge during 2020 and into 2021, largely due to COVID-19 forcing greater reliance on advanced digital technology to monitor, inform and respond to the pandemic. This paper critically examines the implications of intensifying digitalization and AI for migration and mobility systems for a post-COVID transnational context. First, it situates digitalization and AI in migration by analyzing its uptake throughout the Migration Cycle. Second, the article evaluates the current challenges and, opportunities to migrants and migration systems brought about by deepening digitalization due to COVID-19, finding that while these expanding technologies can bolster human rights and support international development, potential gains can and are being eroded because of design, development and implementation aspects. Through a critical review of available literature on the subject, this paper argues that recent changes brought about by COVID-19 highlight that computational advances need to incorporate human rights throughout design and development stages, extending well beyond technical feasibility. This also extends beyond tech company references to inclusivity and transparency and requires analysis of systemic risks to migration and mobility regimes arising from advances in AI and related technologies.

scholarly journals The Importance Of Gender And Facial Information Science On Information Systems Design

2011 ◽  
Vol 7 (8) ◽  
Author(s):  
Ralph Reilly ◽  
Andrew Nyaboga ◽  
Carl Guynes
Keyword(s):  
Artificial Intelligence ◽  
Facial Expression ◽  
Facial Expressions ◽  
Information Science ◽  
Systems Design ◽  
Font Size ◽  
Men And Women ◽  
Facial Information ◽  
Computer Scientists ◽  
The Subject

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="layout-grid-mode: line; font-family: &quot;Times New Roman&quot;,&quot;serif&quot;;"><span style="font-size: x-small;">Facial Information Science is becoming a discipline in its own right, attracting not only computer scientists, but graphic animators and psychologists, all of whom require knowledge to understand how people make and interpret facial expressions. (Zeng, 2009). Computer advancements enhance the ability of researchers to study facial expression. Digitized computer-displayed faces can now be used in studies. Current advancements are facilitating not only the researcher&rsquo;s ability to accurately display information, but recording the subject&rsquo;s reaction automatically.<span style="mso-spacerun: yes;">&nbsp; </span><span style="mso-bidi-font-weight: bold;"><span style="mso-spacerun: yes;">&nbsp;</span></span>With increasing interest in Artificial Intelligence and man-machine communications, what importance does the gender of the user play in the design of today&rsquo;s multi-million dollar applications? Does research suggest that men and women respond to the &ldquo;gender&rdquo; of computer displayed images differently? Can this knowledge be used effectively to design applications specifically for use by men or women? This research is an attempt to understand these questions while studying whether automatic, or pre-attentive, processing plays a part in the identification of the facial expressions.</span></span></p>

scholarly journals The Potential of Application of Technology-Based Innovations for Zakat Administration in India

2019 ◽  
Vol 4 (2) ◽  
pp. 87-100
Author(s):  
Aishath Muneeza ◽  
Shahbaz Nadwi
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Vital Role ◽  
Primary Sources ◽  
Effective Management ◽  
Journal Articles ◽  
Secondary Sources ◽  
Blockchain Technology ◽  
The Subject ◽  
Customary Practices

India is the home country for many Muslims and effective management of zakah is essential to the country. In this era of technology, it is imperative to use technology with zakat to ensure that the classical zakat administration approaches are upgraded to the uruf or customary practices of the society. The objective of this paper is to find out the potential of using technology in upgrading zakat administration in India. This is a qualitative approach where the primary sources such as zakat administration laws in India and secondary sources such as journal articles and published reports on the subject are analysed to derive conclusions. The findings of this paper suggest that the innovations such as rice ATMs, mobile applications, applications made with blockchain technology, artificial intelligence and big data can also play a vital role in the effective management of zakat in India. It is anticipated that the outcome of this research will assist the zakat administrators in India to adopt technology in this regard.   Keywords: Artificial intelligence, big Data, fintech, rice ATM, zakat

Effect of Choice Making on a Self-Care Activity in Mentally Retarded Adult and Adolescent Males

1988 ◽  
Vol 8 (3) ◽  
pp. 176-185 ◽  
Author(s):  
Martin S. Rice ◽  
David L. Nelson
Keyword(s):  
Mentally Retarded ◽  
Adolescent Males ◽  
Water Evaporation ◽  
Central Importance ◽  
Choice Making ◽  
Sense Of Efficacy ◽  
Care Activity ◽  
The Subject ◽  
The One ◽  
Order Of Presentation

Of central importance to occupational therapy is the issue of motivation in activity. The purpose of this study was to look at the effects of choice on motivation during an activity undertaken by mentally retarded adult and adolescent males Each subject was given a choice of five wrinkled T-shirts that had sports logos on them. The subject chose one and was asked to iron the T-shirt before he took it to keep. Counterbalancing for order of presentation, we designed the study so that each subject also experienced not having a choice between five T-shirts and then having to iron the one given to him. The amount of ironing was measured by calculating the amount of water evaporation A one-tailed t test indicated that with this population, choice in an activity was a significant motivator for increased participation in a subsequent activity ( p < .05). Results are discussed in terms of the need for research to build a theoretical base upon which practice directed to developing a sense of efficacy in mentally retarded and other populations can be founded.

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