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1. WO2011133017 - INTELLIGENT CANCER PREDICTION & PREVENTION SYSTEM (ICP2S): E-ONCOLOGIST

Publication Number WO/2011/133017
Publication Date 27.10.2011
International Application No. PCT/MY2011/000013
International Filing Date 17.02.2011
IPC
G06F 19/00 2011.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
19Digital computing or data processing equipment or methods, specially adapted for specific applications
G06F 17/30 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
30Information retrieval; Database structures therefor
CPC
G16H 50/50
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
50for simulation or modelling of medical disorders
G16H 50/70
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
70for mining of medical data, e.g. analysing previous cases of other patients
G16Z 99/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
99Subject matter not provided for in other main groups of this subclass
Applicants
  • DR Ir TEE, CLARENCE AUGUSTINE TECK HUO [MY]/[MY]
Inventors
  • DR Ir TEE, CLARENCE AUGUSTINE TECK HUO
Priority Data
PI 201000177720.04.2010MY
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) INTELLIGENT CANCER PREDICTION & PREVENTION SYSTEM (ICP2S): E-ONCOLOGIST
(FR) SYSTÈME INTELLIGENT DE PRÉDICTION ET DE PRÉVENTION DU CANCER (ICP2S): E-ONCOLOGUE
Abstract
(EN) The Intelligent Cancer Prediction and Prevention System (ICP2S) is a clinical decision support system built with our proprietary models and ideas based on data mining and knowledge discovery technology. The system contains a set of 33 novel data mining models stored in (e- Oncol) application database. The models use the classification approach algorithms of data mining technology to measure and predict the survivability of cancer patients based on the medical records of the patients. The models are designed to predict the percentage of survivability, five years after the time of diagnosis. The system contains novel user friendly interface that allows the oncologist to register the medical variables of the patients and generate the survivability reports. The system also contains a set of functionality that allows the system administrators to control and monitor the contents of the e-oncologist database. The system administrators can add, edit and delete the repository of the system documentations. All the functions of the (e-Oncol) Intelligent Cancer Prediction and Prevention system can be accessed and available online.
(FR) Le système intelligent de prédiction et de prévention du cancer (ICP2S) est un système d'aide à la décision clinique construit avec nos modèles et idées déposés reposant sur une technologie de découverte de connaissances et d'exploration de données. Le système contient un ensemble de 33 nouveaux modèles d'exploration de données stockés dans une base de données d'application (e-Oncol). Les modèles utilisent les algorithmes d'approche de classification d'une technologie d'exploration de données pour mesurer et prédire la capacité de survie de patients atteints du cancer sur la base d'enregistrements médicaux des patients. Les modèles sont conçus pour prédire le pourcentage de capacité de survie, cinq années après le diagnostic. Le système contient une nouvelle interface conviviale qui permet à l'oncologue d'enregistrer les variables médicales des patients et de générer des rapports de capacité de survie. Le système contient également un ensemble de fonctionnalités qui permet aux gestionnaires du système de contrôler et de surveiller les contenus de la base de données e-oncologue Les gestionnaires du système peuvent ajouter, éditer et supprimer le référentiel de données des documentations du système. Toutes les fonctions du système intelligent de prédiction et de prévention du cancer (e-Oncol) peuvent être obtenues et être disponibles en ligne.
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