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Material Information
- Title:
- Poster Session: Computer Science and Biomedical and Health Informatics
- Creator:
- Bhattarai, Jhulendra
Bichindaritz, Isabelle
Finnegan, Kieran
Garbanzo, Omar
Irving, Shaniah
Katzer, Jonathan
Aung, Ko Ko
Lindstedt, John
Ljulic, Matthew
McMahan, Liam
Morales, Kevin
Napolitano, Michael
Preikstas, Vincent
Primus, Trevor
Valentin, Kimberly
- Publication Date:
- 04/14/2021
- Copyright Date:
- 2021
Notes
- Abstract:
- Traffic Camera by Omar Garbanzo, Jonathan Katzer and Michael Napolitano.
The purpose of this poster is to share work accomplished in developing a traffic camera system to ensure the safety of pedestrians and enforce the speed limit on the SUNY Oswego campus. ( ,,,,,,,,,,,,,,,,,,,,,,,,, )
- Abstract:
- Primus Fitness by Trevor Primus and Matthew Ljulic.
This project would replace an archaic method of progressing through a supervised training set over an arbitrary period of time. Our project focuses on giving the trainer an easy way to oversee their clients progress, while also allowing the client flexibility with their workout schedule. Trainers are currently limited in their ability to communicate with clients about specific workouts, provide clients with custom workout plans, and track the progress of their clients. Alternatively clients have limited to no communication with their trainer about specific workouts or progress. They are unable to customize their workouts based on trainer workouts, send workouts to their trainer, or perform previous workouts. These are the problems we are looking to solve with our application. Our core functionality will be focused on solving these issues and easing the communication between trainer and client. We are also looking to build this as a micro service architecture which would allow us to easily add features or update our application in the future.
- Abstract:
- Java Code Peer Review Platform by Jhulendra Bhattarai, Ko Ko Aung, Liam McMahan, Kevin Morales and Kieran Finnegan.
This project would replace an archaic method of progressing through a supervised training set over an arbitrary period of time. Our project focuses on giving the trainer an easy way to oversee their clients progress, while also allowing the client flexibility with their workout schedule. Trainers are currently limited in their ability to communicate with clients about specific workouts, provide clients with custom workout plans, and track the progress of their clients. Alternatively clients have limited to no communication with their trainer about specific workouts or progress. They are unable to customize their workouts based on trainer workouts, send workouts to their trainer, or perform previous workouts. These are the problems we are looking to solve with our application. Our core functionality will be focused on solving these issues and easing the communication between trainer and client. We are also looking to build this as a micro service architecture which would allow us to easily add features or update our application in the future.
- Abstract:
- Using Data Analysis for Person-Centered Care by Kimberly Valentin.
A study was conducted in government health facilities in Uttar Pradesh, India, to investigate the level of care and attention given to ladies seeking their babies' delivery. Two extensive questionnaires were developed for this purpose; one to be filled by the medical health care providers (nurses & doctors) and the second to be filled by the pregnant ladies who were going under labor to deliver their infants. The primary objective of this study was to investigate whether provider education and experience affect patients' treatment. The data mining goal is to apply the J48 tree classification algorithm to the data and predict whether the care given was appropriate or not.
- Abstract:
- Exploring Heavy Metal Correlation with Gender, Race and Other Attributes by Vincent Preikstas.
In this project Data from research in Syracuse provided by Dr. Isabelle Bichindartiz was used to measure heavy metal correlation. This data contained a rich collection of various measures and attributes of some 300 plus patients. Of principle concern being lead, mercury, and cadmium blood measures as well as different health metrics such as heart measures, demographic measures, and socioeconomic measures. The goal of this study was then to see if any of the other attributes were correlated with lead, mercury, or cadmium levels. Statistical methods used included binary logistic regression to establish correlation and linear regression ANOVA with the various metals to try to see if any of the attributes predicted the metal levels. A few interesting things came out of this project. Gender did not appear correlated with any of the heavy metals. Race was correlated with lead when considering attributes alone and was correlated with cadmium when considering attributes together. The use of aspirin, ibuprofen and vitamins was found to have no correlation with heavy metal levels in blood. Socioeconomic score was found to be predictive of lead levels although the model for it did not have good enough significance to have a high degree of certainty. One longer term goal is the identification of at-risk people. The goal is to find hidden markers for risk that might be overlooked, this was attempted in this project with looking at many broad health measures like different left ventricle measures, amino acid levels, and demographic measures. Much is already known as to which populations are more at risk, but perhaps there are missing pieces. This project provided a few small fragments to augment the puzzle and can be used as starting points for future more focused inquiry.
- Summary:
- Session Chair: John Lindstedt.
- Acquisition:
- Collected for SUNY Oswego Institutional Repository by the online self-submittal tool. Submitted by Zach Vickery.
Record Information
- Source Institution:
- SUNY Oswego Institutional Repository
- Holding Location:
- SUNY Oswego
- Rights Management:
- All rights reserved by the source institution.
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