We provide big data analytics Techniques & Data Solutions

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  • Understand Databases
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Data Visualization Research technique & Solution

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Collect Ongoing Big Data Design And Strategy

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Final Report Generate

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Data Science

  • The Data Analyst
  • The Data Engineer
  • Machine Learning
  • Data Generalist

Artificial Intelligence

  • Reactive Machines
  • Limited Memory
  • Theory of Mind
  • Artificial Narrow Intelligence

Machine Learning

  • Linear Regression
  • Support Vector Machines
  • Random Forest
  • Ensemble Methods

Our Skill

We are master in data science& big data analysis

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Data Anaylsis88%
Social Assistant95%
AI Solutions70%
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How We Work

01

Frame the Problem

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02

Collect Data

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03

Process Data

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Understanding patient complaint characteristics using contextual clinical BERT embeddings (42nd IEEE EMBC 2020)

To understand patient complaints in conversational applications, we propose a two-fold approach using Word2vec and BERT to detect the characterizations of entities like symptoms presented by general users in contexts where they would describe their symptoms to a clinician.

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Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation (29th ACM CIKM 2020)

To address continuous large-scale evaluation of diagnostic systems, we proposed a novel patient vignette simulation algorithm within an iterative clinician-in-the-loop methodology for semi-automatically evaluating and deploying medical diagnostic systems in production.

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A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset (19th IEEE/ACM WI-IAT 2020)

To address data imbalance in medical document classification, we propose a probabilistic dictionary-based data augmentation approach by oversampling on the minority class and creating new documents with high variety by using synonyms’ similarities with the original medical entity term.

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