Mina Esmail Zadeh Nojoo Kambar (esmailza)

esmailza

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Company:University of Nevada, Las Vegas

Location:NV, Las Vegas

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Mina Esmail Zadeh Nojoo Kambar's repositories

Llama2-vLLM-LangChain-knowledge-graph

Preserving entities through the integration of knowledge graphs, Llama 2, vLLM, and LangChain.

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A-Recommendation-Model-for-Predicting-Alzheimer-s-Drugs-Mechanism-of-Action

A simple binary prediction model that gets the Alzheimer's drugs' description texts as input. It classifies the drugs into two Small Molecules (SM) and Disease modifying therapies (DMT) categories. The model utilizes BERT for word embeddings.

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Apriori-algorithm-apache-spark

An Apache Spark implementation of the Apriori algorithm to calculate the frequent item sets and association rules.

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Alzheimer-s-Data-Visualization-website

This project is a website using the vue.js framework to visualize Alzheimer's drug development pipeline data. The website is interactive, and users can filter the data based on various constraints.

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Chemical-Gene-Chemical-Gene-Relation-Extraction-with-GNN

The model identifies chemical components and genes named entities and extracts the relations of the chemical-gene pair jointly. It utilizes the BioBERT model in the named entity recognition and the graphs neural networks for the RE subtasks.

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Clinical-Trial-Parser

Library for converting clinical trial eligibility criteria to a machine-readable format.

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ClinicalTrial

This java server uses the spring boot framework that recreates the clinicaltrials.gov database models in PostgreSQL. In addition, it generates RESTful APIs for the front-end website.

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DEER

The implementation for "DEER: Descriptive Knowledge Graph for Explaining Entity Relationships" (EMNLP '22)

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Query-ranked-list-MapReduce

A MapReduce code to generate Inverse document frequency indexes (inverted index) for a collection of documents. Then the index is used to build a vector space retrieval engine and rank the documents for each query.

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Tri-AL

A visualization and analytics platform for clinicaltrials.gov data that enables researcher to interpret the data in a convenient way.

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Housing_Price

A simple Neural Network Model to predict the housing price based on the house features like bedrooms, area, etc. We are using kaggle Housing Prices Dataset. The data has multicollinearity prob

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Time-Series-price-stock-forecasting

Time series project on Chicago Crime rate, Avocado Price and Inida Stock market price prediction using facebook prophet library

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