HOLMeS: eHealth in the Big Data and Deep Learning Era

The aim of this paper is to introduce the HOLMeS (health online medical suggestions) system: A particular big data platform aiming at supporting several eHealth applications. As its main novelty/functionality, HOLMeS exploits a machine learning algorithm, deployed on a cluster-computing environment, in order to provide medical suggestions via both chat-bot and web-app modules, especially for prevention aims.
Authors: Flora Amato, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Antonio Picariello and Carlo Sansone
 
Journal Title: Information
 
ISSN: 2078-2489 (Online)
 
Publisher: MDPI AG
 
Abstract
 
Now, data collection and analysis are becoming more and more important in a variety of application domains, as long as novel technologies advance. At the same time, we are experiencing a growing need for human–machine interaction with expert systems, pushing research toward new knowledge representation models and interaction paradigms. In particular, in the last few years, eHealth which usually indicates all the healthcare practices supported by electronic elaboration and remote communications calls for the availability of a smart environment and big computational resources able to offer more and more advanced analytics and new human–computer interaction paradigms.
 
The aim of this paper is to introduce the HOLMeS (health online medical suggestions) system: A particular big data platform aiming at supporting several eHealth applications. As its main novelty/functionality, HOLMeS exploits a machine learning algorithm, deployed on a cluster-computing environment, in order to provide medical suggestions via both chat-bot and web-app modules, especially for prevention aims. The chat-bot, opportunely trained by leveraging a deep learning approach, helps to overcome the limitations of a cold interaction between users and software, exhibiting a more human-like behavior. The obtained results demonstrate the effectiveness of the machine learning algorithms, showing an area under ROC (receiver operating characteristic) curve (AUC) of 74.65% when some first-level features are used to assess the occurrence of different chronic diseases within specific prevention pathways. When disease-specific features are added, HOLMeS shows an AUC of 86.78%, achieving a greater effectiveness in supporting clinical decisions.
 

Picture: HOLMeS (health online medical suggestions) system main modules with interaction paradigm: At the bottom-centre, the HOLMeS application core; On the left, the HOLMeS chat-bot (bottom) and the patient (top) interacting with HOLMeS; At the top-centre the, IBM Watson conversation logic adopted by HOLMeS through its API; On the right, the computational cluster providing storage, computing, and machine learning services used by HOLMeS. (credits: Flora Amato, Stefano Marrone, Vincenzo Moscato, Gabriele Piantadosi, Antonio Picariello and Carlo Sansone)

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Read more

Comments

No comments to display.

Related posts

Hadron Therapy Industry 2019-2025: Global Size, Share, Emerging Trends, Demand, Revenue and Forecasts Research

Hadron Therapy Industry 2019 Global Market research report studies latest Hadron Therapy industry aspects market size, share, trends, growth, business overview and Hadron Therapy industry scenario during the forecast period (2019-2025).
12 hours ago

Acid Catalysts Industry 2019: Global Market Size, Growth, Share, Insights, Supply, Drivers, Demand, Outlook, Trends and Forecasts 2025

A latest report has been added to the wide database of Orian Research Consultant titled “Global Acid Catalysts Market Research Report (2025)” which provides an outlook of current market value, Size, Share, Growth, Trends and Forecast.
12 hours ago

Continuous Renal Replacement Therapy Industry 2019 Global Market Size, Share, Growth, Sales and Drivers Analysis Research Report 2025

Continuous Renal Replacement Therapy Industry 2019 Global Market Research report provides information regarding market size, share, trends, growth, cost structure, capacity, and revenue and forecast 2025.
12 hours ago

Black Pellets Industry 2019 Global Market Size, Outlook, Demand, Key Manufacturers and 2025 Forecast

A recent market report published on the “Black Pellets Industry” presents an in-depth overview of the Black Pellets industry. Global Black Pellets market research report covers the overview, summary, Black Pellets market dynamics, competitive analysis, and leading player’s various strategies to sustain in the global market. Apart from this, the Black Pellets report also covers detail information about various clients which is the most significant element for the manufacturers.
12 hours ago

Call for Applications: Startup World Cup 2019

Startup World Cup ("SWC") offers innovation and entrepreneurship opportunities for startup ecosystems around the world. This platform consists of a global series of startup conferences and competitions that bring together phenomenal startups, VCs, and world-class tech CEOs.
Application Deadline in 2 months

EU Call for Proposals: Information and promotion about the sustainable aspect of rice production

The objective is to highlight the sustainable aspect of rice sector. Rice production in Europe has a particular environmental dimension, being at the heart of the preservation of certain wetlands. Rice cultivation is a sensitive and specific practice at European level, since it is produced in areas where there are few crop alternatives. Its preservation and improvement contribute to the sustainability of rice producing regions, by playing an active role in maintaining rural areas, protecting nature and preserving biodiversity. Actions shall highlight the environmental sustainability of the production, stressing its beneficial role for climate action and the environment.
Application Deadline in 24 days

A low-cost and open-source platform for automated imaging

Remote monitoring of plants using hyperspectral imaging has become an important tool for the study of plant growth, development, and physiology. Many applications are oriented towards use in field environments to enable non-destructive analysis of crop responses due to factors such as drought, nutrient deficiency, and disease, e.g., using tram, drone, or airplane mounted instruments.

Can developing nations compete in a digital world?

People want in on e-commerce for simple reasons - choice, ease, speed, cost, convenience. Yet not everyone benefits equally, especially in least developed countries.