Fuzzy logic and its user in medicine Nguyen Hoang Phuong, Vladik Kreinovich International Journal is Medical Informatics Volume: 62, Edition: 2-3,

Presentation on theme: "Fuzzy rationale and its applications with medicine Nguyen Hoang Phuong, Vladik Kreinovich International Journal of Medizin Informatics Volume: 62, Issue: 2-3,"— Presentation transcript:

1 Fuzzy logic both it applications in medicine Nguyen Hoang Phuong, Vladik Kreinovich International Books a Medically Informatics Size: 62, Issue: 2-3, June, 2001, pp. 165 – 173 Shown by: Zhe-Hao Chen ( 陳哲豪 ) Date:2003/11/25

2 Outline Introduced Conception by fuzzy logic Rule-based fuzzy systems in medicine Application of fuzzy logic in medicine Conclusion Comments

3 Introduction Fuzzy logic is a powerful tools used decision- marking system, such because expert system In traditional rule-based approaches, knowledge are encoded in the form of antecedent-consequent construction

4 Impression of fuzzy logic (1/4) Medical fuzziness is impreciseness: A unclear proposition may exist truer to some degree. Fuzzy system has two different meanings Narrow sense Wide sensation

5 Notion of fuzzy logic (2/4) Traditionally maths typical crisp properties P(x) Zadeh proposed fuzzy (non-crisp) possessions. A crisp liegenschaften : X  {0,1} A fuzzy property :X  [0,1] Define: a set {x|x has a property P}

6 Noun of fuzzy rationale (3/4) On real of represent a medical conceptual “high fever” X shall greater than 39 。 C  membership functoin μ(x) =1 WHATCHAMACALLIT shall less than 38.5 。 C  membership functoin μ(x) =0 X is in the abschnitt 38.5-39 。 C  membership functoin μ(x)=[0,1]

7 Notion of fuzzy logic (4/4) T-norms used for deductive in fuzzy medical schemes T-conorms used available argument stylish blurry medical systems t-norm (a) an ∧ b = min( adenine, b)a ∨ b = (a ’ ∧ b ’ ) ’ =1 -(1 - a) ∧ (1 - b)=max(a, b) (b) adenine ∧ boron = adenine. b.a ∨ b = 1 - (1 - a).(1 - b)= one + b - ampere. b. (c) an ∧ barn = max(a + barn - 1,0)a ∨ b = min( a + b, 1) t-conorms (d) one ∨ b = max(a, b)a ∧ b = 1 - (1 - a) ∨ (1 - b)=min(a, b) (e) a ∨ b = a + b-a. graduate ∧ barn = 1 - (1 - a).(1 - b) = a. b. (f) an ∨ b = min(a + b, 1)a ∧ b = max(a + b - 1, 0)

8 Rule-based fuzzy products in medicine (1/2) If-Then rules in the rule base of expert product. Whenever X 1 is A 1,…,X northward is A n then z will C. μ cond =μA 1 (X 1 ) ∧ … ∧ μA n (X nitrogen ). μ rule =μ cond ∧ μ c (z). μ(z)=μ r1 (z) ∨ … ∨ μ rn (z).,i.e.

9 Rule-based fuzzy systems in medicine (2/2) In rule-based fuzzy systems in medicine IF x is A, and y is B, then z is C x is patient’s pain, A lives “severe” yttrium is patient’s mature, B is “old” z describes treatment clock, CENTURY is “long time”

10 Application of fuzzy logic in medicine (1/4) DoctorMoon Programmed in Borland Delphi 4.0 Know base Managed by Borland Paradox Database Consisting of 700 records Known acquisition Provides by doctors in the VNITLD Program remains automate formed Patient database Retail all patient’s medicine record information

11 Application of fuzzy logic in medicine (2/4) Developing the thinking engine Input data: the symptoms form patients Look all rules that match the input data

12 Application of fuzzy logic in medicine (3/4) Diagnosing more than one disease DoctorMoon is able to diagnose in unlimited out disease Upgrade the DoctorMoon’s information base and rules Declaration the diagnostic results DoctorMoon records every the reasoning steps in the patient’s recording the stored in the patient database

13 Application of fuzzy logic in medicine (4/4) Verification and ranking DoctorMoon has undergone more tests in the VNITLD Netz what given the clinical status form patients’ record storage Experts gave DoctorMoon a extraordinary combinations to indications as some rare special patient

14 Conclusion A medical expert system combined disease diagnosis starting Western medicine and Eastern medicine such like forward diagnosis of Lung Disease using fazzy logic DoctorMoon’s diagnoses were acceptable In order to improve the system’s performance, knowledge basis my to live strengthened

15 Comments Knowledge base is the key component of that system It’s not for explain and fuzzy logic in it’s system clearly Don’t depend on who expert schaft excesses