Description

Delve deeper into the potential of Big Data in aiding diagnosis and prevention thanks to TECH"

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Today, society is not only undergoing major changes in a short period of time, but has also seen an increase in the amount of information it consumes. In many cases it can be an advantage, and in others it can be a problem. A correct interpretation of the data helps to make better diagnoses and, consequently, the physiotherapist will be able to perform a treatment with better results.

Big Data obtains, classifies, manages, and analyzes large amounts of data. Its applications are multiple, but mainly in medicine Big Data is in full growth, bringing to this science new ways to address various situations, whether diagnostics or genome-wide association studies. 

As a reflection of this ever-changing society, more and more physiotherapy professionals are looking to update or delve into new techniques and tools. Due to this, TECH promotes this postgraduate certificate to equip professionals for continuous advancement and keep them at the forefront of the medical field.

The postgraduate certificate in Big Data in Medicine: Massive Medical Data Processing is designed to provide the resources needed to get the most out of it in Physiotherapy. In addition, it addresses the various modalities of massive data collection in biomedical research and which are the most appropriate and up-to-date methodologies. In this way, the graduate is helped to alleviate the lack of resources in research in the field of Physical Therapy, being able to maintain their daily practice.

Being a completely online postgraduate certificate, TECH allows the student to set the schedule and manage the entire course load autonomously, since the syllabus is available in its entirety from the first day. In addition, it can be downloaded to any device with an Internet connection. And, of course, with the most cutting-edge methodology on the market today, Relearning.

Make the difference in a sector in full growth such as Big Data"

This postgraduate certificate in Big Data in Medicine: Massive Medical Data Processing contains the most complete and up-to-date scientific program on the market. The most important features include: 

  • Development of case studies presented by experts in Massive Medical Data Processing
  • The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
  • Practical exercises where the self-assessment process can be carried out to improve learning
  • Its special emphasis on innovative methodologies
  • Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
  • Content that is accessible from any fixed or portable device with an Internet connection

Make the difference in a sector in full growth such as Big Data"

The program’s teaching staff includes professionals from the industry who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the educational year. For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Delve into your knowledge and get the most out of Big Data in Physiotherapy research"

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Master data preprocessing, its methods, and approaches, as well as the problems you may encounter"

Objectives

The design of the program of this postgraduate certificate will allow the student to acquire the necessary competencies to update in the profession after delving into the key aspects of Massive Medical Data Processing. In this way, with the latest developments in Clustering Algorithms, ohmic techniques, or high-performance studies in interatomic, physiotherapists will be able to apply in their daily practice the most important advances in Big Data, taking a relevant step in their professional career towards this booming field. For this reason, TECH establishes a series of general and specific objectives for the greater satisfaction of future graduates, thanks to its commitment to quality and the latest technologies that have made it a benchmark institution.

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Discover the new use of Big Data in Physiotherapy. TECH's goal is for you to delve into all the advantages it can offer you"

General Objectives

  • Develop key concepts of medicine that serve as a vehicle to understand clinical medicine
  • Determine the major diseases affecting the human body classified by apparatus or systems, structuring each module into a clear outline of pathophysiology, diagnosis, and treatment
  • Determine how to obtain metrics and tools for healthcare management
  • Understand the basics of basic and translational scientific methodology
  • Examine the ethical and best practice principles governing the different types of research in health sciences 
  • Identify and generate the means of funding, assessing and disseminating scientific research 
  • Identify the real clinical applications of the various techniques
  • Develop the key concepts of computational science and theory
  • Determine the applications of computation and its implication in bioinformatics
  • Provide the necessary resources to practically apply all the concepts in the modules
  • Develop the fundamental concepts of databases
  • Determine the importance of medical databases
  • Delve into the most important techniques in research
  • Identify the opportunities offered by the IoT in the field of eHealth
  • Provide specialized knowledge of the technologies and methodologies used in the design, development and assessment of telemedicine systems
  • Determine the different types and applications of telemedicine
  • Delve into the most common ethical aspects and regulatory frameworks of telemedicine
  • Analyze the use of medical devices
  • Develop the key concepts of entrepreneurship and innovation in eHealth
  • Determine what a business model is and the types that exist
  • Collect eHealth success stories and mistakes to avoid
  • Apply the knowledge acquired to an original business idea

Specific Objectives

  • Gain specialized knowledge of massive data acquisition techniques in biomedicine
  • Analyze the importance of data preprocessing in Big Data
  • Determine the differences between the data derived from different massive data collection techniques, as well as their special characteristics in terms of pre-processing and handling
  • Provide ways of interpreting results from massive data analysis
  • Examine the applications and future trends in the field of Big Data in biomedical research and public health
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You will even manage the analysis of Mass Spectrometry data and achieve all your professional goals in this postgraduate certificate"  

Postgraduate Certificate in Big Data in Medicine: Massive Medical Data Processing

Medicine is a constantly evolving discipline and technological advances have made medical data collection increasingly easier and more accurate. However, the amount of information generated is so large that it is difficult to manage. This is where Big Data comes into play, a tool that allows processing large amounts of information to obtain useful knowledge and results.

In the medical field, Big Data is a fundamental tool for improving decision-making and providing better healthcare. For this reason, TECH Technological University has created the Postgraduate Certificate in Big Data in Medicine: Massive Medical Data Processing, with the aim of preparing students in the use of this tool and its practical application.

During the course, students will learn the most advanced techniques of data processing, information analysis and the use of specific tools for the management of Big Data in medicine. All this, with the aim of providing more efficient and effective medical care to patients.

One of the highlights of the course is the use of specific tools and technologies for medical data management. Students will learn how to use tools such as Hadoop, Spark and NoSQL, as well as how to analyze data through programming languages such as Python and R.

This program represents a unique opportunity for medical students and healthcare professionals who wish to improve their ability to handle large amounts of medical information and use Big Data for clinical decision making in medical research.