Therapeutic effect prediction model training method, therapeutic effect prediction method and electronic equipment
The invention relates to the field of curative effect prediction, in particular to a curative effect prediction model training method, a curative effect prediction method and electronic equipment. Comprising the following steps: acquiring clinical information, electroencephalogram data and electrocardio data corresponding to a target patient, and a sample type corresponding to the target patient; generating an initial feature corresponding to the target patient based on the clinical information, the electroencephalogram data and the electrocardio data corresponding to the target patient; based on a sample type corresponding to the target patient, performing optimization processing on the initial feature, and generating a target feature corresponding to the target patient; generating a training data set corresponding to the target patient based on a corresponding relationship between the target feature corresponding to the target patient and the sample type; and training the initial curative effect prediction network by using the training data set to generate a target curative effect prediction model. According to the method, the accuracy of the target curative effect prediction model obtained by training is ensured, so that the accuracy of predicting the treatment effect of the patient by using the target curative effect prediction model can be ensured..
| Medienart: |
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Patent| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 20. Jan. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
ZHENG DONGYANG [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-01-20, Last update posted on www.tib.eu: 2023-07-24, Last updated: 2023-07-28 |
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| Patentnummer: |
CN115631850 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA017151740 |
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| 245 | 1 | 0 | |a Therapeutic effect prediction model training method, therapeutic effect prediction method and electronic equipment |
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| 520 | |a The invention relates to the field of curative effect prediction, in particular to a curative effect prediction model training method, a curative effect prediction method and electronic equipment. Comprising the following steps: acquiring clinical information, electroencephalogram data and electrocardio data corresponding to a target patient, and a sample type corresponding to the target patient; generating an initial feature corresponding to the target patient based on the clinical information, the electroencephalogram data and the electrocardio data corresponding to the target patient; based on a sample type corresponding to the target patient, performing optimization processing on the initial feature, and generating a target feature corresponding to the target patient; generating a training data set corresponding to the target patient based on a corresponding relationship between the target feature corresponding to the target patient and the sample type; and training the initial curative effect prediction network by using the training data set to generate a target curative effect prediction model. According to the method, the accuracy of the target curative effect prediction model obtained by training is ensured, so that the accuracy of predicting the treatment effect of the patient by using the target curative effect prediction model can be ensured. | ||
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| 650 | 4 | |a G06F: Electric digital data processing (computer systems based on specific computational models g06n) | |
| 650 | 4 | |a A61B: Diagnosis; surgery; identification (analysing biological material g01n, e.g. g01n0033480000) | |
| 650 | 4 | |a G16H: Healthcare informatics, i.e. information and communication technology [ict] specially adapted for the handling or processing of medical or healthcare data | |
| 650 | 4 | |a 615 | |
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| 700 | 0 | |a WANG ZHIYAN |4 aut | |
| 700 | 0 | |a HAO HONGWEI |4 aut | |
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