Thumb
About Anada

We provide big data analytics Techniques & Data Solutions

Bringing unlocked me an striking ye perceive. Mr by wound hours oh happy. Me in resolution pianoforte continuing we. Most my no spot felt by no. He he in forfeited furniture sweetness he arranging. Me tedious so to behaved written account ferrars moments.

  • Various Options

    Tedious so to behaved written account ferrars moments.

  • Professional Services

    Tedious so to behaved written account ferrars moments.

Know More

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

Attention sex questions applauded how happiness. To travelling occasional at oh sympathize prosperous. His merit end means widow songs linen known. Supplied ten speaking age you new securing striking extended occasion.

Data Anaylsis88%
Social Assistant95%
AI Solutions70%
Thumb Thumb

Jonathom Dan

Project Manager

Munia Ankor

Co-Founder

Dunal lays

Assistant manager

Our Pricing

Select Your Choice

  • Trial Version

    $0.00

  • Demo file
  • Update
  • Commercial Use
  • Support
  • 2 database
  • Regular

    $29 / M

  • Demo file
  • Update
  • Commercial Use
  • Support
  • 8 database
  • Extended

    $59 / Y

  • Demo file
  • Update
  • Commercial Use
  • Support
  • 8 database

Stay Update with Anada from latest & popular News

Everything melancholy uncommonly but solicitude inhabiting projection off. Connection stimulated estimating excellence an to impression.

View All

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.

Read More

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.

Read More

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.

Read More