118 Hits in 4.1 sec

Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors [article]

Motohide Higaki, Kai Morino, Hiroshi Murata, Ryo Asaoka, Kenji Yamanishi
2016 arXiv   pre-print
Further, the method shows very high performances by hierarchically aggregating experts generated from several cluster-based methods.  ...  Thus, we propose a method for aggregating cluster-based predictors to obtain better prediction accuracy than from a single cluster-based prediction.  ...  This work is partially supported by JST-CREST.  ... 
arXiv:1603.07094v1 fatcat:k2kr7ho72nb6xnx4f2t4t5pwha

A survey on computer aided diagnosis for ocular diseases

Zhuo Zhang, Ruchir Srivastava, Huiying Liu, Xiangyu Chen, Lixin Duan, Damon Wing Kee Wong, Chee Keong Kwoh, Tien Yin Wong, Jiang Liu
2014 BMC Medical Informatics and Decision Making  
It not only alleviates the burden on the clinicians by providing objective opinion with valuable insights, but also offers early detection and easy access for patients.  ...  The recent developments in methods used in CAD of ocular diseases (such as Diabetic Retinopathy, Glaucoma, Age-related Macular Degeneration and Pathological Myopia) are investigated and summarized comprehensively  ...  Detection Glaucoma diagnosis is typically based on the medical history, intra-ocular pressure and visual field loss tests together with a manual assessment of the Optic Disc (OD) through ophthalmoscopy  ... 
doi:10.1186/1472-6947-14-80 pmid:25175552 pmcid:PMC4163681 fatcat:4lvv4oils5euhitmqeigcmhf74

Use of Patient-Reported Outcomes in Medical Product Development: A Report from the 2009 NEI/FDA Clinical Trial Endpoints Symposium

Rohit Varma, Elaine A. Richman, Frederick L. Ferris, Neil M. Bressler
2010 Investigative Ophthalmology and Visual Science  
Glaucoma According to Robert N. Weinreb, MD, progress in glaucoma clinical research and practice is impeded by a reliance on visual field testing to evaluate the progression of glaucoma.  ...  A key problem in glaucoma and other ophthalmic specialties is that visual field loss and visual acuity, which clinicians typically measure in eye examinations, are imperfect indicators of how patients  ... 
doi:10.1167/iovs.10-5627 pmid:21123768 pmcid:PMC3055746 fatcat:c2vywll7rjfj7cihhzgq74nqi4

Discovering novel disease comorbidities using electronic medical records

Shikha Chaganti, Valerie F. Welty, Warren Taylor, Kimberly Albert, Michelle D. Failla, Carissa Cascio, Seth Smith, Louise Mawn, Susan M. Resnick, Lori L. Beason-Held, Francesca Bagnato, Thomas Lasko (+3 others)
2019 PLoS ONE  
While visual field defects are recovered within 4 to 7 weeks, there is a delayed mVEP (multifocal visual evoke potential) in regions where there was a visual field loss [33] .  ...  Acute loss of visual function is well documented in optic neuritis [32] .  ... 
doi:10.1371/journal.pone.0225495 pmid:31774837 pmcid:PMC6880990 fatcat:4hifimijobhrffyrndwp22ctx4

A spatially varying change points model for monitoring glaucoma progression using visual field data [article]

Samuel I. Berchuck, Jean-Claude Mwanza, Joshua L. Warren
2018 arXiv   pre-print
Glaucoma disease progression, as measured by visual field (VF) data, is often defined by periods of relative stability followed by an abrupt decrease in visual ability at some point in time.  ...  Based on this, we present a unified statistical modeling framework that permits prediction of the timing and spatial location of future vision loss and informs clinical decisions regarding disease progression  ...  Acknowledgements This work was partially supported by the National Center for Advancing Translational Science (JLW; UL1 TR001863, KL2 TR001862) and the Research to Prevent Blindness (Department of Ophthalmology  ... 
arXiv:1811.11038v1 fatcat:gir47q5y6zd6tjr4sbompatai4

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks [article]

Hao Peng, Ruitong Zhang, Yingtong Dou, Renyu Yang, Jingyi Zhang, Philip S. Yu
2021 arXiv   pre-print
To avoid the embedding over-assimilation among different types of nodes, we employ a label-aware neural similarity measure to ascertain the most similar neighbors based on node attributes.  ...  A reinforced relation-aware neighbor selection mechanism is developed to choose the most similar neighbors of a targeting node within a relation before aggregating all neighborhood information from different  ...  Although this visual impairment may indicate diabetes, it is also true in glaucoma patients.  ... 
arXiv:2104.07886v2 fatcat:5loufv5m6bcp5ny2rzd7aqnuju

Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: A comprehensive review

Lubna Aziz, Sah bin Haji Salam, Sara Ayub
2020 IEEE Access  
Besides that, it needs to make representation more informative, semantic, and hierarchical for visual recognition.  ...  Li et al.[210] propose an attention mechanism in the CNN frameworks for Glaucoma detection and design large-scale attention-based glaucoma dataset.  ... 
doi:10.1109/access.2020.3021508 fatcat:guri46oiejhfzeitxuuprpmjka

Artificial Intelligence in Translational Medicine

Simone Brogi, Vincenzo Calderone
2021 International Journal of Translational Medicine  
As a consequence of the mentioned scenario, scientific vocabulary was enriched by novel lexicons such as machine learning (ML)/deep learning (DL) and overall artificial intelligence (AI).  ...  Interestingly, between preclinical and clinical research, translational research is benefitting from computer-based approaches, transforming the design and execution of translational research, resulting  ...  , age-related macular degeneration [259, 260] , and glaucoma [261] [262] [263] , using fundus images, optical coherence tomography (OCT), and visual fields.  ... 
doi:10.3390/ijtm1030016 fatcat:c6g6ld26gjg6jbkcddauo44qvu

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

Md Islam, Md Hasan, Xiaoyi Wang, Hayley Germack, Md Noor-E-Alam
2018 Healthcare  
However, analytics based on website and social media data has been increasing in recent years.  ...  Critical elements of the selected studies-healthcare sub-areas, data mining techniques, types of analytics, data, and data sources-were extracted to provide a systematic view of development in this field  ...  Their approach produced 95% accuracy in glaucoma prediction.  ... 
doi:10.3390/healthcare6020054 pmid:29882866 pmcid:PMC6023432 fatcat:xkq4mkqbprabvipxnmcvk3hr6m

Systems pathology analysis identifies neurodegenerative nature of age-related vitreoretinal interface diseases

Tiina Öhman, Fitsum Tamene, Helka Göös, Sirpa Loukovaara, Markku Varjosalo
2018 Aging Cell  
K E Y W O R D S aging, epiretinal membrane, macular hole, MS-based quantitative proteomics, neurodegeneration, vitreous humor *These authors contributed equally to this study. ---  ...  and macular hole (MH) are the major visionthreatening vitreoretinal diseases affecting millions of aging people globally, making these conditions an important public health issue. iERM is characterized by  ...  (c) Hierarchical clustering of the iERM and MH sample upregulated proteins based on their gene expression profiles in healthy human tissues.  ... 
doi:10.1111/acel.12809 pmid:29963742 fatcat:ogrcchkllnhatlf23yuyde7vzu

Single-cell profiles of retinal neurons differing in resilience to injury reveal neuroprotective genes [article]

Nicholas M. Tran, Karthik Shekhar, Irene E. Whitney, Anne Jacobi, Inbal Benhar, Guosong Hong, Wenjun Yan, Xian Adiconis, McKinzie E. Arnold, Jung Min Lee, Joshua Z. Levin, Dingchang Lin (+5 others)
2019 bioRxiv   pre-print
Finally, using loss- and gain-of-function assays in vivo, we showed that manipulating some of these genes improved neuronal survival and axon regeneration following ONC.  ...  We then tracked their survival after ONC, characterized transcriptomic, physiological, and morphological changes that preceded degeneration, and identified genes selectively expressed by each type.  ...  This work was supported by grants from the NIH (MH105960, EY028625, EY021526, NS029169, NS104248, EY029360, EY028448, EY030204, EY026939, EY028625, P30EY012196 and AG056636), Wings for Life Spinal Cord  ... 
doi:10.1101/711762 fatcat:acol72stnfa4hl67rpyytnrh5a

Proceedings of the 11th International Workshop "Data analysis methods for software systems"

Jolita Bernatavičienė
2019 Vilnius University Proceedings  
The main goal of the workshop is to introduce the research undertaken at Lithuanian and foreign universities in the fields of data science and software engineering.  ...  Learning, Digital Technologies, High-Performance Computing, Machine Learning, Medical Informatics, Modelling Educational Data, Ontological Engineering, Optimization in Data Science, Signal Processing, Visualization  ...  Clusters allow to classify accounts into different credit score categories and determine who qualifies for a loan, to evaluate the potential risk posed by lending money to consumers and to mitigate losses  ... 
doi:10.15388/proceedings.2019.8 fatcat:hb3t35tmpnhlbkzbstyvxfrgyu

Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey [article]

Norah Asiri, Muhammad Hussain, Fadwa Al Adel, Nazih Alzaidi
2019 arXiv   pre-print
Diabetic retinopathy (DR) results in vision loss if not treated early.  ...  Many traditional machine-learning (ML) techniques based on hand-engineered features have been introduced.  ...  Logarithmic loss (log loss) determines a classifiers accuracy by penalizing false classifications.  ... 
arXiv:1811.01238v2 fatcat:7jhsijcz2ram3fahlbqd6umbjm

AI applications in robotics, precision medicine, and medical image analysis: an overview and future trends

Tetiana Habuza, Alramzana Nujum Navaz, Faiza Hashim, Fady Alnajjar, Nazar Zaki, Mohamed Adel Serhani, Yauhen Statsenko
2021 Informatics in Medicine Unlocked  
both academia and industry in revolutionizing how healthcare services will be offered by healthcare service providers and perceived by all stakeholders.  ...  AI for medical imaging eliminates subjectivity in a visual diagnostic procedure and allows for the combining of medical imaging with clinical data, lifestyle risks and demographics.  ...  Molecular testing can provide valuable predictors for AI models of risk stratification and prediction of a treatment response to a surgery, radio-and chemotherapy.  ... 
doi:10.1016/j.imu.2021.100596 fatcat:f3f7eenvw5hpnik4xx7divn3nq

Academic Press is an imprint of Elsevier [chapter]

2009 Annual Reports in Medicinal Chemistry  
Glaucoma responds reasonable well to drug therapy and much loss of function can be prevented if the disorder is detected early enough. IV. Age-related Changes in Visual Function A.  ...  use of aggregate scores (i.e., reducing systematic and error variability by aggregating short-term assessments).  ...  Research on religion and health is also hampered by challenges that are not often encountered elsewhere.  ... 
doi:10.1016/s0065-7743(09)04435-2 fatcat:udugdegd4bhrzkgbbtzict2ed4
« Previous Showing results 1 — 15 out of 118 results