公开(公告)号：US20250005327A1

公开(公告)日：2025-01-02

申请号：US18691766

申请日：2022-09-08

Applicant: Solventum Intellectual Properties Company

Inventor： Yang Liu ,  Hua Cheng ,  Russell I. Klopfer ,  Thomas Schaaf ,  Matthew R. Gormley

IPC: G06N3/045

Abstract: Systems and techniques are described for configuring and training a neural network including receiving a plurality of documents, providing the received documents to a neural network model comprising a deep convolutional-based encoder including a plurality of squeeze-and-excitation (SE) and residual convolutional modules that form a plurality of SE/residual convolutional block pairs, determining a word embedding matrix for the plurality of documents, providing one or more word embeddings in the word embedding matrix to the encoder, generating one or more label-specific representations based on the output of the plurality of SE/residual convolutional block pairs, computing a probability of a label being present in the one or more documents given the one or more label specific representations and using a first loss function to train the model for frequently occurring labels and a second loss function to train the model for rarely occurring labels.

公开(公告)号：US20250103820A1

公开(公告)日：2025-03-27

申请号：US18973882

申请日：2024-12-09

Applicant: Solventum Intellectual Properties Company

Inventor： Thomas S. Polzin ,  Hua Cheng ,  Detlef Koll

IPC: G06F40/30 ,  G06F16/35 ,  G06F40/166

Abstract: A computer system and method identifies topics in conversations, such as a conversation between a doctor and patient during a medical examination. The system and method generates, based on first text (such as a document corpus including previous clinical documentation), a plurality of sentence embeddings representing a plurality of semantic representations in a plurality of sentences in the training text. The system and method generate a classifier based on the second text, which includes a plurality of sections associated with a plurality of topics, and the plurality of sentence embeddings. The system and method generate, based on a sentence (such as a sentence in a doctor-patient conversation) and the classifier, an identifier of a topic to associate with the first sentence. The system and method may also insert the sentence into a section, associated with the identified topic, in a document (such as a clinical note).

公开(公告)号：US12197870B2

公开(公告)日：2025-01-14

申请号：US17906768

申请日：2021-03-18

Applicant: Solventum Intellectual Properties Company

Inventor： Thomas S. Polzin ,  Hua Cheng ,  Detlef Koll

IPC: G06F40/279 ,  G06F16/35 ,  G06F40/166 ,  G06F40/30

Abstract: A computer system and method identifies topics in conversations, such as a conversation between a doctor and patient during a medical examination. The system and method generates, based on first text (such as a document corpus including previous clinical documentation), a plurality of sentence embeddings representing a plurality of semantic representations in a plurality of sentences in the training text. The system and method generate a classifier based on the second text, which includes a plurality of sections associated with a plurality of topics, and the plurality of sentence embeddings. The system and method generate, based on a sentence (such as a sentence in a doctor-patient conversation) and the classifier, an identifier of a topic to associate with the first sentence. The system and method may also insert the sentence into a section, associated with the identified topic, in a document (such as a clinical note).