Ingentium provides the latest content on specific diseases that is of interest to patients, care givers, and healthcare providers. These articles and papers can be accessed via news channels as well as social media – such as Apple News, Feedly, Flipboard, as well as Facebook, Twitter, Linkedin, and others. Ingentium offers free access to its magazines where readers can post comments, create alerts, and join specific communities of interest that span major health and wellness topics.

Ingentium is a next generation media company and online community service provider. Ingentium uses a novel big data cyberinfrastructure technology to aggregate and refine the latest news and information into focused, disease-specific knowledge bases, which can also be viewed as knowledge graphs (visualizations of the relationships between data in the knowledge base). These knowledge bases are used to deliver media to patients, physicians, and the medical research community in our Health Magazines, a component of the Ingentium Health Network.

Ingentium Magazines offer unique benefits to patients, physicians and health-related organizations by providing daily delivery of high quality, targeted healthcare information. Our knowledge graphs provide an easy way to browse and search across the vast amount and diverse types of data in a knowledge base.

Knowledge science is the study of knowledge formation and communication processes in organizations from
a socio-scientific perspective. Knowledge science investigates decision-making in groups from the viewpoint of cognitive science, and establishes information systems that support the creation and utilization of knowledge.

The 4 Components of Knowledge Science

• Knowledge technology
  • encompasses classification, representation, modeling,
    identification, acquisition, searching, organization, storage,
    conversion, and dissemination
• Knowledge management
  • which covers three different yet related areas (knowledge
    assets, knowing processes, knower relations)
• Knowledge discovery and data mining
  • which combine databases, statistics, machine learning, and
    related areas to discover and extract valuable knowledge from
    large volumes of data
• Knowledge synthesis
  • knowledge justification, and knowledge construction, which
    are important in solving real-life problems

A knowledge graph is a semantic network for representing knowledge in patterns of interconnected nodes and edges, where nodes represent objects or concepts, and edges represent relationships. One advantage of using knowledge graphs is the ability to analyze diverse types of data and relationships, which Ingentium applies to our knowledge bases spanning everything from genes to symptoms to anatomy to drugs, and everything in between.

Ingentium uses machine learning and semantic analysis to construct disease- or topic-focused knowledge bases. We use NLP and semantic predication to build contextualized knowledge graphs using learned content, and we provide a magazine for each knowledge base that updates daily.

Ingentium offers well curated, timely, easy to access media focused on specific disease areas to the patient, physician and healthcare community.  Given the tremendous and ever growing amount of information contained within healthcare media an automated solution, is required. Ingentium offers a unique suite of electronic magazines that effectively addresses this need.

Content is delivered through the Ingentium Magazines.  Flipboard, AppleNews, Rss feeds, E-mail reports, as well as Facebook, Twitter and LinkedIn.

Use the tabs below to learn more about our content delivery options.