Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques

Illavarason, P; Renjit, J. Arokia; Kumar, Prafulla

doi:10.1007/s10916-019-1410-6

Cited by 28 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accuracy typically diminishes as the length of the suggestion list increments. A high exactness esteem shows that numerous clients are keen on the suggested things [ 21 ]. Review estimates the odds that a pertinent thing is chosen for suggestion.…”

Section: Resultsmentioning

confidence: 99%

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

Lavanya

Bharathi

2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

Most movie recommendation methods use hard-clustering and simple collaborative filtering techniques in order to achieve their end results. However, these methods tend to overlook crucial aspects of both users and items. When these methods hard cluster a movie item into a cluster, they turn a blind eye to the fact that the item also exhibits some properties of another cluster’s items. Recommender systems facilitate users and relevant things expeditiously supported their requests and historic communications with alternative customers. Recommendation systems are a crucial portion of signifying things particularly in streaming amenities. For streaming motion-picture show services like Netflix, recommendation methods are vital for serving to users notice fresh movies to get pleasure from. However, massive amounts of information will turn out restrictions in recommendations due to accuracy as a result of diversity and meagerness problems. Our work proposes a unique hybrid technique that mixes collaborative filtering and characteristics of demographic filtering technique to point the close users, and associate against one another. This technique has been established over associate in tending analysis of the way to cut back the blunders in grading estimates supported users’ earlier communications that ends up in improved prediction accuracy in among completely different algorithms. Additionally, a feature combination technique is utilized that progresses the expectation accuracy and to check our method, using MovieLens 1M dataset, we contended an offline assessment, already available assessment tactics, and compared the same with the output factors to support authenticating the proposed procedure.

show abstract

Section: Resultsmentioning

confidence: 99%

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

Lavanya

Bharathi

2021

Pers Ubiquit Comput

View full text Add to dashboard Cite

show abstract

“…For example, EEG and eye-tracking data were used to identify children with ASD via SVM classifier [13] and logistic regression (LR) [38]. AI-driven computer vision was used to detect abnormal eye imagery (eye misalignment, e.g., esotropia and hypertropia) in periodic assessments of children with CP [39].…”

Section: Diagnostic Robotsmentioning

confidence: 99%

Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review

Ezra Tsur,

Elkana

2024

Robotics

View full text Add to dashboard Cite

The landscape of neurorehabilitation is undergoing a profound transformation with the integration of artificial intelligence (AI)-driven robotics. This review addresses the pressing need for advancements in pediatric neurorehabilitation and underscores the pivotal role of AI-driven robotics in addressing existing gaps. By leveraging AI technologies, robotic systems can transcend the limitations of preprogrammed guidelines and adapt to individual patient needs, thereby fostering patient-centric care. This review explores recent strides in social and diagnostic robotics, physical therapy, assistive robotics, smart interfaces, and cognitive training within the context of pediatric neurorehabilitation. Furthermore, it examines the impact of emerging AI techniques, including artificial emotional intelligence, interactive reinforcement learning, and natural language processing, on enhancing cooperative neurorehabilitation outcomes. Importantly, the review underscores the imperative of responsible AI deployment and emphasizes the significance of unbiased, explainable, and interpretable models in fostering adaptability and effectiveness in pediatric neurorehabilitation settings. In conclusion, this review provides a comprehensive overview of the evolving landscape of AI-driven robotics in pediatric neurorehabilitation and offers valuable insights for clinicians, researchers, and policymakers.

show abstract

“…Data volume it handles is very high. Thus, Internet of Medical Things (IoMT) [7][8]-The devices are medical wearables which measures the parameters such as heartbeat, diabetes, ECG etc. Design has to offer interface to allow interconnection of devices with that of the networks.…”

Section: Classification Of Iot Based On Applicationsmentioning

confidence: 99%

IoT Ecosystem- A survey on Classification of IoT

Sivagami¹,

Illavarason²,

Reddy³

2021

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICA

View full text Add to dashboard Cite

Digital era transformed the way we use the internet; it is mutated as powerful enabler for it provides personalized solutions to improve the standard of living of the people. A network of devices which can sense, communicate with the help of embedded technology to meet the needs of individual, respond to them, and help in managing their lives in all possible means is Internet of Things (IoT). Availability of infrastructure, availability of resources at the affordable prices, accessibility of IoT devices at any instant are the reasons for the enormous growth of IOT technology in the 21st century. It can be stated that revolution which merges digital and physical world is IoT. COVID-19 pandemic disease caused by the virus called corona. It is serious disease which affected the people and taken lives of people in lakhs in many countries. It spreads from person to person through droplets from nose or mouth from an infectious person. So human to human interaction has to avoided or proper distancing has to be maintained as a precaution from getting infected. Lock downs have been implemented in order to avoid the spread of the disease. The year 2020 has given an opportunity to prove the role played by IoT in the life of people of all sectors. In this pandemic situation any one, anytime, anywhere connected to any part of the thing or people in the world is made possible using IoT. IoT and its classification is discussed in this paper..

show abstract

Medical Diagnosis of Cerebral Palsy Rehabilitation Using Eye Images in Machine Learning Techniques

Cited by 28 publications

References 20 publications

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

RETRACTED ARTICLE: A novel hybrid feature combination method for enhanced movie recommendations with user resemblance and attitude mining

Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review

IoT Ecosystem- A survey on Classification of IoT

Contact Info

Product

Resources

About