Aman Verma
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View article: Effect of implant tilt and trans-mucosal abutment angulation as influencing stress pattern: An FEA study
Effect of implant tilt and trans-mucosal abutment angulation as influencing stress pattern: An FEA study Open
The effect of implant tilt and transmucosal abutment angulation on stress distribution around tilted dental implants in a simulated maxillary arch using Finite Element Analysis (FEA). Eight 3D models with varying implant tilts (17°, 25°, 3…
View article: Characterizing co-purchased food products with soda, fresh fruits, and fresh vegetables using loyalty card purchasing data in Montréal, Canada, 2015–2017
Characterizing co-purchased food products with soda, fresh fruits, and fresh vegetables using loyalty card purchasing data in Montréal, Canada, 2015–2017 Open
Background Foods are not purchased in isolation but are normally co-purchased with other food products. The patterns of co-purchasing associations across a large number of food products have been rarely explored to date. Knowledge of such …
View article: Towards reconstruction of Pulsed-wave Doppler signals from Non-invasive fetal ECG
Towards reconstruction of Pulsed-wave Doppler signals from Non-invasive fetal ECG Open
Fetal cardiac health monitoring with invasive methods have a limited viability because they can only be utilized during labor and are uncomfortable. On the other hand non-invasive fECG are adulterated with maternal ECG, and hence resulting…
View article: The Role of emotional intelligence in the performance of employees: A study of the employees of private banks in U.P
The Role of emotional intelligence in the performance of employees: A study of the employees of private banks in U.P Open
View article: Evaluating the impact of NEP 2020 on pre-vocational and vocational training for person with disability: opportunities, challenges, and social work interventions
Evaluating the impact of NEP 2020 on pre-vocational and vocational training for person with disability: opportunities, challenges, and social work interventions Open
A transformative vision for education has been brought to India with the National Education Policy (NEP) 2020, which aims to make education more inclusive and fairer for all, including persons with disabilities (PWDs). The evaluation of NE…
View article: Large-scale characterization of co-purchased food products with soda, fruits, and vegetables: association rule mining on longitudinal loyalty card grocery purchasing data in Montréal, Canada. (Preprint)
Large-scale characterization of co-purchased food products with soda, fruits, and vegetables: association rule mining on longitudinal loyalty card grocery purchasing data in Montréal, Canada. (Preprint) Open
BACKGROUND Foods are not purchased in isolation but are normally co-purchased with other food products. The patterns of co-purchasing associations across a large number of food products are not known. OBJECTIVE To quantify the associati…
View article: Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model
Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model Open
View article: MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record Open
Electronic Health Records (EHRs) contain rich clinical data collected at the point of the care, and their increasing adoption offers exciting opportunities for clinical informatics, disease risk prediction, and personalized treatment recom…
View article: Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model
Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model Open
The rapid growth of electronic health record (EHR) datasets opens up promising opportunities to understand human diseases in a systematic way. However, effective extraction of clinical knowledge from the EHR data has been hindered by its s…
View article: Modeling electronic health record data using a knowledge-graph-embedded topic model
Modeling electronic health record data using a knowledge-graph-embedded topic model Open
The rapid growth of electronic health record (EHR) datasets opens up promising opportunities to understand human diseases in a systematic way. However, effective extraction of clinical knowledge from the EHR data has been hindered by its s…
View article: IR Employed Arduino Based Accident-Avoidance Hilly Areas
IR Employed Arduino Based Accident-Avoidance Hilly Areas Open
In arising nation, the majority of the demise is due accident. The accident ratio is increases in thehilly area due to the fog and landslide. Also, in the hilly roads they have narrow U turns due to this the driver of a vehicle cannot see …
View article: Mortality trends and length of stays among hospitalized patients with COVID-19 in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves
Mortality trends and length of stays among hospitalized patients with COVID-19 in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves Open
In-hospital mortality risks and length of ICU stays declined over time despite changing patient demographics. Continuous population-based monitoring of patient outcomes in an evolving epidemic is necessary for health system preparedness an…
View article: Effects of Confounding Bias in Coronavirus Disease 2019 (COVID-19) and Influenza Vaccine Effectiveness Test-Negative Designs Due to Correlated Influenza and COVID-19 Vaccination Behaviors
Effects of Confounding Bias in Coronavirus Disease 2019 (COVID-19) and Influenza Vaccine Effectiveness Test-Negative Designs Due to Correlated Influenza and COVID-19 Vaccination Behaviors Open
Background The test-negative design is commonly used to estimate influenza and coronavirus disease 2019 (COVID-19) vaccine effectiveness (VE). In these studies, correlated COVID-19 and influenza vaccine behaviors may introduce a confoundin…
View article: HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification
HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification Open
Brain Tumors are abnormal mass of clustered cells penetrating regions of brain. Their timely identification and classification help doctors to provide appropriate treatment. However, Classifi-cation of Brain Tumors is quite intricate becau…
View article: MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record Open
Electronic Health Records (EHRs) contain rich clinical data collected at the point of the care, and their increasing adoption offers exciting opportunities for clinical informatics, disease risk prediction, and personalized treatment recom…
View article: Mortality trends and lengths of stay among hospitalized COVID-19 patients in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves
Mortality trends and lengths of stay among hospitalized COVID-19 patients in Ontario and Québec (Canada): a population-based cohort study of the first three epidemic waves Open
Background Epidemic waves of COVID-19 strained hospital resources. We describe temporal trends in mortality risk and length of stay in intensive cares units (ICUs) among COVID-19 patients hospitalized through the first three epidemic waves…
View article: DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection Open
An iris presentation attack detection (IPAD) is essential for securing personal identity is widely used iris recognition systems. However, the existing IPAD algorithms do not generalize well to unseen and cross-domain scenarios because of …
View article: DFCANet: Dense Feature Calibration-Attention Guided Network for Cross\n Domain Iris Presentation Attack Detection
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross\n Domain Iris Presentation Attack Detection Open
An iris presentation attack detection (IPAD) is essential for securing\npersonal identity is widely used iris recognition systems. However, the\nexisting IPAD algorithms do not generalize well to unseen and cross-domain\nscenarios because …
View article: Effects of Confounding Bias in COVID-19 and Influenza Vaccine Effectiveness Test-Negative Designs Due to Correlated Influenza and COVID-19 Vaccination Behaviors
Effects of Confounding Bias in COVID-19 and Influenza Vaccine Effectiveness Test-Negative Designs Due to Correlated Influenza and COVID-19 Vaccination Behaviors Open
Background The test-negative design is commonly used to estimate influenza and COVID-19 vaccine effectiveness (VE). In these studies, correlated COVID-19 and influenza vaccine behaviors may introduce a confounding bias where controls are i…
View article: Supervised multi-specialist topic model with applications on large-scale electronic health record data
Supervised multi-specialist topic model with applications on large-scale electronic health record data Open
Motivation: Electronic health record (EHR) data provides a new venue to elucidate disease comorbidities and latent phenotypes for precision medicine. To fully exploit its potential, a realistic data generative process of the EHR data needs…
View article: DEEPFAKE DETECTION USING COMPUTER VISION
DEEPFAKE DETECTION USING COMPUTER VISION Open
These days, a problem of AI-generated face swapping videos are rising rapidly, also known as the DeepFakes. These kinds of videos create threats to privacy of a specific person, peace and security of a country. On occasion perfect DeepFake…
View article: Supervised multi-specialist topic model with applications on large-scale electronic health record data
Supervised multi-specialist topic model with applications on large-scale electronic health record data Open
Motivation: Electronic health record (EHR) data provides a new venue to elucidate disease comorbidities and latent phenotypes for precision medicine. To fully exploit its potential, a realistic data generative process of the EHR data needs…
View article: altonrus/quarantineTesting: Code and data repository for modeling effectiveness of quarantine and testing to prevent COVID-19 transmission from arriving travelers
altonrus/quarantineTesting: Code and data repository for modeling effectiveness of quarantine and testing to prevent COVID-19 transmission from arriving travelers Open
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View article: SAT-117 PREVALENCE OF THYROID HORMONE ABNORMALITIES IN STAGE 5 CHRONIC KIDNEY DISEASE
SAT-117 PREVALENCE OF THYROID HORMONE ABNORMALITIES IN STAGE 5 CHRONIC KIDNEY DISEASE Open
Kidney and thyroid function are interconnected through several mechanisms. Thyroid hormones are necessary for the maintenance of electrolyte and water. Similarly, kidney is also involved in the regulation of thyroid hormones metabolism.
View article: ICPC2T 2020 Conference Organization
ICPC2T 2020 Conference Organization Open
View article: Cloud Platform Optimization for HPC
Cloud Platform Optimization for HPC Open
The special requirements of HPC have typically been tacked onto existing cloud infrastructure and practices. As a result, most cloud offerings aren't completely optimized for HPC, or aren't yet feature-complete as far as traditional superc…
View article: Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions
Development of a Method for Extracting Structured Dose Information from Free-Text Electronic Prescriptions Open
In this study, we sought to develop an automatic parser tool for unstructured free-text electronic prescriptions, focusing specifically on defining the daily dose. We manually coded a set of electronic discharge prescriptions and establish…
View article: Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models
Modeling Chronic Obstructive Pulmonary Disease Progression Using Continuous-Time Hidden Markov Models Open
Understanding the progression of chronic diseases, such as chronic obstructive pulmonary disease (COPD), is important to inform early diagnosis, personalized care, and health system management. Data from clinical and administrative systems…
View article: Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models
Modeling disease progression in longitudinal EHR data using continuous-time hidden Markov models Open
Modeling disease progression in healthcare administrative databases is complicated by the fact that patients are observed only at irregular intervals when they seek healthcare services. In a longitudinal cohort of 76,888 patients with chro…
View article: Comparative Analysis of various Cryptographic Algorithms with ECC
Comparative Analysis of various Cryptographic Algorithms with ECC Open
In today's generation, internet has been the main source of data communication. In a pervasive computing environment, ECC has been preferred because of its suitability to the devices and having limited battery power, bandwidth, less memory…