Medical Data Classification

SolutionS

With 3,500 subject matter experts and production-grade platforms, no job is too big or complex.

High Quality Training Data to Accelerate AI and Machine Learning

Highest-quality annotation of text, images, audio and video data for complex models. Ideal for computer vision, sentiment analysis, entity linking, text categorization, and syntactic parsing and tagging models.

High Accuracy

World-class workflows and easy-to-use interfaces coupled with process control techniques developed over 30 years building the world’s highest quality data products.

Domain Experts

No crowdsourcing - only accredited experts. Internal, certified SMEs employed for projects in healthcare, law, sciences and finance.

Efficient, Fast Results

Jump-start efforts with transferred learning using our out-of-the-box multiclass ML Catalyst™ models.

Data Security

We’re certified to handle the most sensitive and highly regulated data.

Medical Data Classification Services

From complex documents to dense images, our experts precisely tag the data you need to train your models.

Image, Video, & Sensor Data Labeling

Images | Videos | Facial Recognition | Satellite Photos | Drones | Lidar

Text Labeling

Annotation Platform | Entity Extraction | Sentiment Analysis | Text Classification | Linguistics

Content Moderation

Brand Reputation | Social Media | Profanity and Not Safe For Work

Conversational AI

Chat Bots | Intent & Utterances | Transcription | Content Summarization

Deep Expertise Across Diverse Data Formats & Industries

Innodata specializes in data annotation of all types of documents & formats for any industry – no matter how complex. From complex documents to dense images, our experts precisely tag the data you need to train your models.

Legal Data

Legislation | Regulatory | Case Law | SEC | International Tax Treaties

Financial Reports

Investor Presentations | Earnings Calls | SEC Documents

Contracts

ISDA | GMRA | MRA | MSFTA | MSLA

Patent Data

Scientific | Chemicals | Drugs | Engineering

Scientific Data

Journals | Abstracts | Conference Proceedings

Medical Records

Pharmacovigilance | Adverse Drug Events | Product Labels

Image & Video

Facial Recognition | Satellite Imagery | Aerial Photography

Audio

Transcriptions | Sound Clips | Broadcasts | Intent & Utterances ​

Insurance Claims

Property & Casualty | Life | Medical | Assets

Getting Started with Medical Data Classification​ is Simple

step 1

Supply your raw data via API or sFTP

step 2

Discuss the training data sets required for your AI models

step 3

Define format and schema for your annotated data

step 4

Define service level agreements

Our Team of Medical Data Classification Experts


Our team is comprised of data experts, with years of developing strategies that enable companies to manage and distribute data using AI-based solutions. Book a time that works for you and let us help develop a custom solution for your unique Medical Data Classification needs.

Data Annotation Team
Innodata Client Testimonials
Our machine learning projects are highly dependent on accurately annotated data, and Innodata has a wide reach to experts that can make sense of some of the complex datasets we work with.
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Rahul Garg
Chief Product Officer, Pypestream
Innodata has been instrumental for us as an SDO (Standards Developing Organization) as we transform our production process into a digital-first operation, allowing us to build new and better products as a result of their diligent work digitizing our content. Their production team is also adept at just about any technical task we send their way, saving our team valuable time and money.
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Dan Berger
Senior Manager of Production
Innodata’s data transformation platform has helped us drive innovation and productivity that’s only possible by expertly combining AI and human expertise.
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Patricia Smith
Bank of New York Mellon
(NASDAQ: INOD) Innodata is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of over 3,000 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI.

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