Logo Logo
  • Platform
    • Augmented Underwriting
    • Embedded Digital Onboarding
    • Embedded Health Intelligence
    • Pre-built AI Testing Sandbox
  • Technology
    • AI Development
  • Research
  • Request Demo

Contact Info

  • Email hi@mediushealth.org
  • Phone +123 456 7890
  • Office Hours Sat - Wed : 8:00 - 4:00

Additional Links

  • About
  • Products
  • Papers
  • Team

Connect With Us

Our Blog

  • Home
  • Blog
August 5 2020
  • Uncategorized

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
August 5 2020
  • Uncategorized

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
August 5 2020
  • Uncategorized

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
July 5 2020
  • Uncategorized

Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase (19th IEEE ICMLA 2020)

For link discovery and quality assessments of medical knowledge graphs, we propose a novel neighborhood – based relationship entity embedding algorithm to simultaneously predict both noisy and missing links between medical entities such as diseases and symptoms.

Read More

Recent Posts

  • Understanding patient complaint characteristics using contextual clinical BERT embeddings (42nd IEEE EMBC 2020)
  • Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation (29th ACM CIKM 2020)
  • A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset (19th IEEE/ACM WI-IAT 2020)
  • Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase (19th IEEE ICMLA 2020)

Recent Comments

Archives

  • August 2020
  • July 2020

Categories

  • Uncategorized

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
Logo

APAC - HQ
146 Arthur St, North Sydney NSW 2060
India - HQ
Medius Health (Care More Health Pvt Ltd) 1132, 6th A Main, 4th cross,
BTM 4th stage, near RM super market, Bengaluru, Karnataka 560076

Platform

  • Augmented Underwriting
  • Embedded Digital Onboarding
  • Embedded Health Intelligence
  • Pre-built AI Testing Sandbox

Technology

  • AI Development

About Us

  • About
  • All Papers
  • Terms
  • Medius Health Privacy Policy
  • Careers

Contact Information

  • About
  • AI Studio
  • All Papers
  • Blog
  • Careers
  • Case Studies
  • Case Studies Single
  • Case Studies V2
  • Case Studies V3
  • Case Studies V4
  • Contact Us
  • Dark Five
  • Dark Four
  • Dark Six
  • Dark Three
  • Dark Two
  • Developer Home
  • Disease Prediction API
  • Get API Key
  • Health Check API
  • Home
  • Home-V1
  • Home-V2
  • Home-V3
  • Home-V4
  • Home-V5
  • Home-V6
  • Home-V7
  • Home-V8
  • Integration
  • Medication Recommendation API
  • Medius Health Privacy Policy
  • OnePage Eight
  • OnePage Five
  • OnePage Four
  • OnePage One
  • OnePage Seven
  • OnePage Six
  • OnePage Three
  • OnePage Two
  • Our Blog
  • Our Blog
  • Our Blog
  • Our Blog
  • Our Services
  • Our Services V2
  • Our Services V3
  • Our Services V4
  • Our Team
  • Page With Default Template
  • Platform
  • Platforms
  • Product/ Feature Ideas
  • Services Single
  • Symptom Check API
  • Symptom Check API – 2
  • Team Single
  • Terms
  • Home