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Machine Learning

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ML Based classification model to detect triage level for patients arriving at trauma centre, and thus allocate appropriate resources. This was achieved using patients’ data from URMC (Department of Paediatrics).

topics: Data Science, Health care, Machine Learning, Pediatrics, Technology, Trauma, Triage, URMC,
DSC Archive
April 15, 2022 | 05:50 pm

Rochester Transit Service

Team Yihe Chen Harry Huang Junting Chen Kehan Yu Mentor Cantay Caliskan Abstract Predictive Analytics for Demand Responsive Para- transportation Vision & Goal ● Create a productive schedule for Demand…

DSC Archive
April 15, 2022 | 05:45 pm

MacroX-Nightlights

This project uses the luminescence of the nighttime sky as a predictive features for economic activity.

DSC Archive
April 15, 2022 | 05:44 pm

URMC-COVID Resource Allocation

This project aims to observe, visualize, and model the trends in which COVID-19 patients at the University of Medical Center were allocated ventilators. Descriptive analyses are performed to investigate the relationships between variables such as but not limited to recovery rate and length of ventilator allocation and gender, race, and age.

DSC Archive
April 15, 2022 | 05:44 pm

City of Rochester

This project aims to build a model which detects features such as crosswalks and curb ramps at intersections in the city of Rochester.

topics: road structures,
DSC Archive
April 15, 2022 | 05:44 pm

GIDS-2

Team Qianqian Gu (Project Manager) Wei Wu Chen Yao Hanyang Zhang Mentor Ajay Anand Abstract The Goergen Institute for Data Science (GIDS) masters admission office wants to better understand applicants’…

DSC Archive
April 15, 2022 | 05:43 pm

Vnomics

Team Steven Dai Zachary Mustin Uzoma Ohajekwe Duy Pham Sponsor Vnomics Corporation Matt Mayo Mentor Prof. Ajay Anand Abstract Our task is to predict imminent failures in Diesel Particulate Filters…

DSC Archive
April 15, 2022 | 05:43 pm

GIDS-1: Masters Admissions

Team Xiaoen Ding Jiecheng Gu Sung Beom Park Joseph Smith Mentor Ajay Anand Sponsor Lisa Altman Gretchen Briscoe Abstract The Goergen Institute for Data Science wants to understand the types…

DSC Archive
April 15, 2022 | 05:37 pm

URMC Geriatric Oncology

This project investigates the associations between geriatric assessment based features and relative dose intensity of chemotherapy. It is at the first few phases of Wilmot Cancer Institute’s Ger Oncology Research team at University of Rochester Medical Center. The team refined the data preprocessing pipeline, built predictive models and employed feature selection on the dataset, providing insightful suggestions for future work in cancer studies.

topics: chemotherapy, geriatric assessment, oncology,
DSC Archive
March 28, 2021 | 02:06 pm

URMC Geriatric Oncology

The Geriatric Oncology Research Team at URMC wants to better understand chemotherapy tolerability in vulnerable older adults.

Community Engagement Archive
March 28, 2021 | 01:58 pm

COVID-19 Survey Analysis to Understand the Community’s Socioeconomic Needs

Rochester Monroe Anti-Poverty Initiative (RMAPI) launched a new survey to better understand the impact of COVID- 19 on community member’s income and basic needs as well as what community members need to be safe and financially secure. The goal of the project was to analyze the survey and responses to inform United Way which kind of assistance needs to be provided, and what features of living necessities are more important for the respondents.

DSC Archive
March 28, 2021 | 01:39 pm

Predictive Maintainence for Trucks

Identify scenarios where DPF (Diesel Particulate Filter) failure is likely to happen so that the trucking customer can be alerted in advance to avoid costly roadside breakdowns.

Community Engagement Archive
March 28, 2021 | 01:36 pm

Modeling of Lake St. Louis Water Levels

The main objective is to identify the maximum water flow tolerance of the Moses-Saunders Dam in order not to exceed the permissible limits of Lake St. Louis.

Community Engagement Archive
March 28, 2021 | 01:13 pm

Identify Mental Health Issues during COVID-19 using Twitter

The project aim was: 1) Understand how the degree of mental health issues changed over time and space during COVID-19; 2) Find out what topics are people concerned about, and 3) Infer what group of people are more likely to have mental health issues.

Machine Learning Archive
March 18, 2021 | 01:34 pm

EYEZ

Development of a telehealth platform that provides digital optical prescriptions, making high quality vision accessible to everyone.

ECE Archive
April 27, 2020 | 10:49 am

AI Chess Board

Our senior design project is implementing an AI chess board. It uses Python and the popular chess engine Stockfish on a Raspberry Pi to show the user with LEDs where the computer would like to make its move. Our project was a success and could be used as a beginning step to make a more complex and intuitive chess board that plays chess against a user.

Community Engagement Archive
April 27, 2020 | 10:45 am

Verifying Lake Ontario’s Water Level

The Caldwell-Fay equation (2002) attempts to model what Lake Ontario’s current water level would be if dam construction had never taken place along the St. Lawrence Seaway (i.e. the natural hydraulic state of the lake).

Newly unearthed Lake Ontario data going back to the 1860s has been discovered, and we had the rare opportunity to be the first to digitize and publicly analyze it.

Since this data set predates any dam construction it actually captures the lake’s natural state. Therefore it can be used to verify Caldwell-Fey’s equation which is being used to govern the lake’s inflow and outflow rate on a daily basis.

ECE Archive
April 22, 2020 | 10:32 pm

Smart Home Automation System

MOTLEY (Main Organizing Terminal for Low Energy Usage) focuses on the creation of a Smart Home using a Raspberry Pi as the central device. Similar to the google home, we are able to control our in-house made and thoughtfully designed custom peripherals through the use of this Pi, granting our user the ability to remotely control various devices in their homes from their current location.

We were given a patient reported symptoms dataset PRO-CTCAE and applied a variety of clustering methods. The clusters were then statistically tested for associations with a selection of outcomes such as hospitalization. We found significant associations with clusters and outcomes and compared it to linear regression results.

Accessibility Archive
April 22, 2020 | 10:32 pm

Emergency Vehicle Alert (E.V.A.)

There is a need to ensure that drivers are alerted of approaching emergency vehicles so that they can remove themselves from the path of the emergency vehicle. It is especially a challenge for deaf, hard of hearing, and distracted drivers to identify emergency signals, which puts them at an increased risk for collision. In this project, we developed a device for use in the car that detects emergency vehicles and notifies the driver of their presence. We used a trained convolutional neural network to detect sirens in noisy environments. On our validation set, we achieved a 95% detection accuracy with a 50% criterion. A demonstration of our real-time detector and design schematic are shown below.

Community Engagement Archive
April 22, 2020 | 10:32 pm

Exploring Reasons Behind the Preventable Accidents of RTS Drivers

RTS is a regional transportation authority established by New York State and the goal of the project is to find the potential reasons for preventable accidents caused by bus operators. First, descriptive and exploratory analysis is performed on all the data provided and driver-related variables and environmental-related variables. Then, frequent pattern mining is applied and conditional probabilities are calculated for the accident history of operators with high risk of accidents to extract accident patterns.

Accessibility Archive
April 22, 2020 | 10:32 pm

Realtime Audio Visualization

Using a rope of LEDs, connected to a Raspberry Pi with our software, we will read the audio signal from an HDMI cable and display colors on the LED strip that match the tone of the music. . The goal of our project is to be able to create a visualization to convey a similar feeling to people that are unable to hear the music.

4. Keywords Archive
April 22, 2020 | 10:32 pm

URMC-CTSI Networking Rhythm Badge Analysis

In this project, we want to apply DSC and machine learning techniques to identify and analyze group communication and interaction patterns from the data collected, e.g. “Who interacts with whom” and “Who attended which breakout sessions”, which can function as an indicator of team performance, group intelligence and meeting efficiency. We can further use the information to increase the productivity of Un-meetings by modifying related elements.

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