WO2025210477 - HIGH DIMENSIONALITY OUTLIER DETECTION AND IDENTIFICATION
National phase entry is expected:
Publication Number
WO/2025/210477
Publication Date
09.10.2025
International Application No.
PCT/IB2025/053366
International Filing Date
31.03.2025
Title **
[English]
HIGH DIMENSIONALITY OUTLIER DETECTION AND IDENTIFICATION
[French]
DÉTECTION ET IDENTIFICATION DE VALEURS ABERRANTES DE DIMENSIONNALITÉ ÉLEVÉE
Applicants **
COCHLEAR LIMITED
Inventors
BENNETT, Christopher
EDER, Helmut Christian
MELMAN, Ryan Orin
Priority Data
63/574,932
05.04.2024
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
MOIP
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
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| * | |
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
* |
| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2812 | |
| EPO | Filing, Examination, Granting | 22744 | |
| Japan | Filing, Examination, Granting | 2837 | |
| South Korea | Filing, Examination, Granting | 2505 | |
| USA | Filing, Examination, Granting | 8540 |
Total:
39,438
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Abstract[English]
Presented herein are techniques for determining whether a healthcare information dataset includes incongruous information. A healthcare information dataset associated with a patient is obtained. The healthcare information dataset is analyzed using a data-derived model to determine whether the healthcare information dataset includes incongruities. One or more actions are performed based on whether the healthcare information dataset includes incongruities.[French]
L'invention concerne des techniques permettant de déterminer si un ensemble de données d'informations de soins de santé comprend des informations incongrues. Un ensemble de données d'informations de soins de santé associé à un patient est obtenu. L'ensemble de données d'informations de soins de santé est analysé à l'aide d'un modèle dérivé de données pour déterminer si l'ensemble de données d'informations de soins de santé comprend des incongruités. Une ou plusieurs actions sont effectuées selon que l'ensemble de données d'informations de soins de santé comprend ou non des incongruités.