IT201600129014A1 - Procedure and application for the predictive diagnosis of rare diseases - Google Patents

Procedure and application for the predictive diagnosis of rare diseases

Info

Publication number
IT201600129014A1
IT201600129014A1 IT102016000129014A IT201600129014A IT201600129014A1 IT 201600129014 A1 IT201600129014 A1 IT 201600129014A1 IT 102016000129014 A IT102016000129014 A IT 102016000129014A IT 201600129014 A IT201600129014 A IT 201600129014A IT 201600129014 A1 IT201600129014 A1 IT 201600129014A1
Authority
IT
Italy
Prior art keywords
procedure
application
rare diseases
predictive diagnosis
predictive
Prior art date
Application number
IT102016000129014A
Other languages
Italian (it)
Inventor
Domenico Santoro
Original Assignee
Univ Degli Studi Di Messina
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Degli Studi Di Messina filed Critical Univ Degli Studi Di Messina
Priority to IT102016000129014A priority Critical patent/IT201600129014A1/en
Publication of IT201600129014A1 publication Critical patent/IT201600129014A1/en

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
IT102016000129014A 2016-12-20 2016-12-20 Procedure and application for the predictive diagnosis of rare diseases IT201600129014A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
IT102016000129014A IT201600129014A1 (en) 2016-12-20 2016-12-20 Procedure and application for the predictive diagnosis of rare diseases

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IT102016000129014A IT201600129014A1 (en) 2016-12-20 2016-12-20 Procedure and application for the predictive diagnosis of rare diseases

Publications (1)

Publication Number Publication Date
IT201600129014A1 true IT201600129014A1 (en) 2017-03-20

Family

ID=58670162

Family Applications (1)

Application Number Title Priority Date Filing Date
IT102016000129014A IT201600129014A1 (en) 2016-12-20 2016-12-20 Procedure and application for the predictive diagnosis of rare diseases

Country Status (1)

Country Link
IT (1) IT201600129014A1 (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016097886A1 (en) * 2014-12-16 2016-06-23 L.I.A. Di Giuseppe Capasso Differential medical diagnosis apparatus adapted in order to determine an optimal sequence of diagnostic tests for identifying a pathology by adopting diagnostic appropriateness criteria

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016097886A1 (en) * 2014-12-16 2016-06-23 L.I.A. Di Giuseppe Capasso Differential medical diagnosis apparatus adapted in order to determine an optimal sequence of diagnostic tests for identifying a pathology by adopting diagnostic appropriateness criteria

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