KR20170001323U - Derivation Algorithm for Medical Data Using Derivatives - Google Patents

Derivation Algorithm for Medical Data Using Derivatives Download PDF

Info

Publication number
KR20170001323U
KR20170001323U KR2020170001423U KR20170001423U KR20170001323U KR 20170001323 U KR20170001323 U KR 20170001323U KR 2020170001423 U KR2020170001423 U KR 2020170001423U KR 20170001423 U KR20170001423 U KR 20170001423U KR 20170001323 U KR20170001323 U KR 20170001323U
Authority
KR
South Korea
Prior art keywords
formula
derivatives
medical data
present
derivation algorithm
Prior art date
Application number
KR2020170001423U
Other languages
Korean (ko)
Inventor
김승찬
Original Assignee
김승찬
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 김승찬 filed Critical 김승찬
Priority to KR2020170001423U priority Critical patent/KR20170001323U/en
Publication of KR20170001323U publication Critical patent/KR20170001323U/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G06F17/13—Differential equations

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Operations Research (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Algebra (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

본 발명은 감별의 정확성 이라는 과제를 해결하기 위해 고안된 아이디어 IP이다. 본 발명은 과학기술 세부분야중 의학과 AI에 쓰인다. 기존 발명과는 달리 도함수를 사용하여 보다 간단한 데이터로 현대사회에 발맞추어 사용자가 손쉽게 이용할 수 있도록 한다. 1. 일계미분공식 을 이용한다.
2. 위 공식에 있어서 오차 계산 범위에서 Chi square 및 가우스 test 통계검증을 하여 유의수준 5%에서 물품생산 3. 상기 공식을 실생활에 접합하여 지속적인 계산값을 공식 1에 넣는다. 이로써 도함수 미분을 특징으로 하는 의료데이터 한정 분석 알고리즘을 만든다.The present invention is an idea IP designed to solve the problem of the accuracy of discrimination. The present invention is used in medicine and AI in the fields of science and technology. Unlike the existing invention, it uses derivatives to make it easier for users to use it in keeping with the modern society with simpler data. 1. Use a one-dimensional differential formula.
2. In the above formula, perform Chi-square and Gauss test statistical tests on the error calculation range to produce goods at a significance level of 5%. 3. Connect the formula to the real world and put the continuous calculation value into Formula 1. This creates a medical data limited analysis algorithm featuring derivative derivatives.

Figure utm00001
Figure utm00001

Description

도함수를 이용한 의료데이터 감별 알고리즘{omitted}Derivation Algorithm for Medical Data Using Derivative

[고안의 설명][Explanation of design]

본 발명은 감별의 정확성 이라는 과제를 해결하기 위해 고안된 아이디어 IP이다.The present invention is an idea IP designed to solve the problem of the accuracy of discrimination.

[기술분야][TECHNICAL FIELD]

본 발명은 과학기술 세부분야중 의학과 AI에 쓰인다.The present invention is used in medicine and AI in the fields of science and technology.

상기 발명에 앞서서 주식분석법 등이 발명되었다.Prior to the invention, a stock analysis method and the like were invented.

일상생활을 편리하게 하기 위한 도함수 기법Derivative techniques to make daily life easier

본 과제를 해결함에 있어서 1. 편리성 2. 실용성 3. 지속성 측면에서 검증하고,In solving this task, 1. convenience, 2. practicality, 3. sustainability,

기존 발명과는 달리 도함수를 사용하여 보다 간단한 데이터로 현대사회에 발맞추어 사용자가 손쉽게 이용할 수 있도록 한다.Unlike the existing invention, it uses derivatives to make it easier for users to use it in keeping with the modern society with simpler data.

알고리즘 예시 도면Algorithm example drawing

1. 일계미분공식 을 이용한다.1. Use a one-dimensional differential formula.

2. 위 공식에 있어서 오차 계산 범위에서 Chi square 및 가우스 test 통계검증을 하여 유의수준 5%에서 물품생산2. In the above formula, Chi square and Gauss test statistical tests were performed in the error calculation range,

3. 상기 공식을 실생활에 접합하여 지속적인 계산값을 공식 1에 넣는다.3. Tie the formula to real life and add the constant value to formula 1.

Claims (1)

도함수 미분을 특징으로 하는 의료데이터 한정 분석 알고리즘A Limited Data Analysis Algorithm for Medical Data Characterizing Differential Derivatives
KR2020170001423U 2017-03-27 2017-03-27 Derivation Algorithm for Medical Data Using Derivatives KR20170001323U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR2020170001423U KR20170001323U (en) 2017-03-27 2017-03-27 Derivation Algorithm for Medical Data Using Derivatives

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR2020170001423U KR20170001323U (en) 2017-03-27 2017-03-27 Derivation Algorithm for Medical Data Using Derivatives

Publications (1)

Publication Number Publication Date
KR20170001323U true KR20170001323U (en) 2017-04-14

Family

ID=58605743

Family Applications (1)

Application Number Title Priority Date Filing Date
KR2020170001423U KR20170001323U (en) 2017-03-27 2017-03-27 Derivation Algorithm for Medical Data Using Derivatives

Country Status (1)

Country Link
KR (1) KR20170001323U (en)

Similar Documents

Publication Publication Date Title
SG10201807986SA (en) Data records selection
BR112014013504A2 (en) wellbore mapping system
BR112016004403A8 (en) computer-readable system, method and storage medium for intelligent search refinement
BR112014017936A8 (en) APPARATUS, SYSTEMS AND METHODS FOR FOSSIL RECOGNITION
Papernow Therapy with couples in stepfamilies.
KR20170001323U (en) Derivation Algorithm for Medical Data Using Derivatives
Lee PPtreeViz: An R package for visualizing projection pursuit classification trees
Satrio et al. Measurement of capability maturity model integration implementation impact for application development process improvement in Telkomsigma
Sutheran et al. Technical and clinical accuracy of five blood glucose meters: clinical impact assessment using error grid analysis and insulin sliding scales
KR20170001354U (en) Comparative comparison of chlorophyll and current chlorophyll production patterns
KR20170001335U (en) Gene crossing computer simulation program
KR20170001317U (en) Analysis of foreign language sequences using decimals
김현주 et al. A Design and Implementation of Real-time Safety Diagnosis Evaluation System Using the Dynamic Response Signal Information of Building
Yang et al. A Review of College Girls’ Eating Manner Measurement Tool
KR20170000280U (en) After the magnetic field treatment of watermelon,
Doane et al. Atheist Identification Measure
Sadikin et al. Fractal dimension as a data dimensionality reduction method for anomaly detection in time series
Borissova SCOPE AND LIMITATIONS IN PATENTING OF LIFE
Liu et al. Modeling and analysis of smer constraints violation in irbac 2000 model based on colored petri nets
Liang et al. The similarity for Nominal Variables Based on F-Divergence
KR20170001359U (en) synergistic effect patch clamp omitted
Afghani Thinking over in the creations of Allah. A Quranic based Study
KR20160003211U (en) World language analysis device using sequence (writing order)
Wang et al. Mining Frequent Sub-hypergraph in an Uncertain Hypergraph for Knowledge Transfer
KR20170000282U (en) After the magnetic field treatment of plums,