RU2002120911A - Система и способ автоматической диагностики - Google Patents
Система и способ автоматической диагностикиInfo
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- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
- Y10S128/904—Telephone telemetry
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
- Y10S128/92—Computer assisted medical diagnostics
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
- Y10S128/92—Computer assisted medical diagnostics
- Y10S128/925—Neural network
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Claims (38)
1. Схема данных для диагностики болезни, содержащая объект первой болезни, связанный с набором объектов симптомов первой болезни, причем, по меньшей мере, один объект симптомов первой болезни имеет действительный вес симптома, и объект второй болезни, связанный с набором объектов симптомов второй болезни, причем, по меньшей мере, один объект симптомов второй болезни соответствует, по меньшей мере, одному объекту симптомов первой болезни и имеет альтернативный вес симптома.
2. Способ автоматической медицинской диагностики, содержащий следующие шаги: обеспечение, по меньшей мере, элемента первого симптома, имеющего вес первого симптома; получение альтернативного веса для первого симптома; и применение полученного альтернативного веса к диагностической оценке, чтобы диагностировать медицинское состояние.
3. Способ автоматизированной диагностики, содержащий следующие шаги: повторяющееся задавание вопросов для получения ответов от пациента, причем ответы устанавливают симптомы, а каждый установленный симптом прибавляет вес к болезни; выработка одного или более синергических весов на основе установленных симптомов; накопление весов установленных симптомов и синергических весов для болезни; и определение того, достигает ли или переходит порог совокупный вес для болезни, чтобы объявить диагноз.
4. Способ по п.3, в котором выработка синергических весов включает в себя установление синергического симптома.
5. Способ по п.4, в котором синергический симптом основан на типе начала или окончания одного из установленных симптомов.
6. Способ по п.4, в котором синергический симптом основан на наклоне начала или на наклоне окончания одного из установленных симптомов.
7. Способ по п.4, в котором синергический симптом основан на тренде начала или на тренде окончания одного из установленных симптомов.
8. Способ по п.3, в котором выбранный набор установленных симптомов, появляющийся в заданной последовательности во времени, добавляет дополнительный диагностический вес к болезни.
9. Способ по п.3, в котором один или более установленных симптомов, имеющих характеристики начала и окончания, совпадающие с заранее заданным набором характеристик симптомов, добавляет дополнительный диагностический вес к болезни.
10. Способ по п.3, в котором выбранный набор установленных симптомов, появляющийся в заданной последовательности по времени и имеющий характеристики начала и окончания, совпадающие с заранее заданным набором характеристик симптомов, добавляет дополнительный диагностический вес к болезни.
11. Способ автоматизированной диагностики, содержащий следующие шаги:
повторяющееся задавание вопросов в течение времени для получения ответов от пациента, причем ответы устанавливают изменяющиеся во времени симптомы, а каждый установленный симптом прибавляет вес к болезни;
выработка одного или более синергических весов на основе симптомов, установленных во времени;
накопление весов установленных симптомов и синергических весов для болезни; и
определение того, достигают ли или переходят порог совокупные веса для болезни, чтобы объявить диагноз.
12. Способ по п.11, в котором выработка синергических весов включает в себя установление синергического симптома, при этом изменяющиеся во времени симптомы хранятся в медицинской карте пациента.
13. Способ автоматизированной медицинской диагностики, содержащий следующие шаги:
a) определение спектра терминов, представляющих субъективное описание аспекта медицинского симптома;
b) представление спектра терминов пациенту в течение сеанса диагностики;
c) выбор термина из спектра терминов;
d) повторение шагов а)-с) для других аспектов медицинского симптома;
e) кодирование выбранных терминов кодом данных о здоровье; и
f) индексация базы данных болезней кодом данных о здоровье, благодаря чему диагностируется болезнь.
14. Способ автоматизированной медицинской диагностики, содержащий следующие шаги:
а) определение спектра терминов, представляющих субъективное описание аспекта медицинского симптома;
b) определение диагностических весов для каждого термина в спектре;
c) представление спектра терминов пациенту в течение сеанса диагностики;
d) выбор термина из спектра терминов;
e) соотнесение выбранного термина весу; и
f) применение веса, соответствующего выбранному термину, к диагностической оценке так, чтобы диагностировать медицинское состояние.
15. Способ по п.14, содержащий далее повторение шагов a)-d) для других аспектов медицинского симптома, так чтобы выбрать другие термины, и кодирование выбранных терминов в код.
16. Способ по п.14, содержащий далее повторение действий а)-е) в заранее заданное более позднее время, анализ изменения кода во времени и присвоение веса изменению медицинского симптома по времени.
17. Способ автоматической медицинской диагностики пациента, содержащий следующие шаги:
обеспечение элемента первого медицинского симптома, причем элемент первого медицинского симптома имеет действительный вес симптома для первой болезни и альтернативный вес симптома для второй болезни;
обеспечение элемента второго медицинского симптома, причем элемент второго медицинского симптома имеет действительный вес симптома для второй болезни;
применение действительного веса первого медицинского симптома для первой диагностической оценки и альтернативного веса ко второй диагностической оценке, при этом первая диагностическая оценка связана с первой болезнью, а вторая диагностическая оценка связана со второй болезнью; и
продолжение получения диагностических оценок путем применения действительных весов симптомов для второй болезни ко второй диагностической оценке.
18. Способ по п.17, в котором элемент первого симптома устанавливает наличие и значение медицинского симптома.
19. Способ по п.17, в котором действительный вес симптома для элемента второго медицинского симптома может отличаться от альтернативного веса симптома для элемента первого медицинского симптома.
20. Способ по п.17, в котором элемент второго медицинского симптома тесно связан с элементом первого медицинского симптома.
21. Способ по п.17, в котором элемент первого симптома связан с одним или более предпочтительными вопросами, а элемент второго симптома связан с одним или более альтернативными вопросами.
22. Способ автоматизированной диагностики пациента, содержащий следующие шаги:
a) предоставление компьютеру списка болезней, причем каждая болезнь связана со списком симптомов;
b) выбор одного из симптомов как фокусного симптома, основанного на заранее заданных критериях;
c) оценка фокусного симптома для установления симптома, причем установленный симптом добавляет вес болезням, имеющим установленный симптом;
d) выбор одного из симптомов как фокусного симптома из списка симптомов, связанных с выбранной болезнью;
e) оценка фокусного симптома для установления симптома, причем установленный симптом добавляет вес, по меньшей мере, выбранной болезни, имеющей установленный симптом; и
f) выборочное повторение шагов b) и с) или d) и е) до тех пор, пока совокупные веса для болезни не достигнут порога или не перейдут его, для объявления диагноза.
23. Способ по п.22, в котором каждый симптом связан с одним или более вопросами, формулами или логическими структурами, при этом заранее заданные критерии включают в себя превалирование симптомов в болезнях.
24. Способ по п.22, в котором одна из болезней выбирается, когда удовлетворяется условие, и при этом выборочное повторение продолжается с шагами d) и е).
25. Способ по п.24, в котором условие содержит или заранее выбранный процесс порога болезни или диагностический импульс совокупных весов для болезни или конкретный ответ пациента.
26. Способ автоматической диагностики медицинского состояния путем использования предсказанного временного графика симптомов, содержащий следующие шаги:
выработка множества временных графиков, каждый из которых представляет обычный курс болезни в терминах того, как симптомы болезни обычно появляются, изменяются и уходят во времени;
автоматическое задавание одного или более вопросов пациенту, чтобы выяснить симптом, показывающий основную жалобу;
автоматический прием ответов от пациента в ответ на вопросы;
автоматическая идентификация болезни, соответствующей основной жалобе;
соотнесение основной жалобы с временным графиком для болезни; автоматическое задавание одного или более вопросов для выяснения наличия и времени первого значительного симптома на временном графике для болезни;
добавление увеличивающего веса к совокупной оценке для болезни, если установлен первый значительный симптом; и
установление диагноза, когда совокупная оценка превышает заранее заданный порог.
27. Способ по п.26, в котором основная жалоба включает в себя симптом и остроту симптома, а каждая болезнь связана с одним временным графиком.
28. Способ автоматической диагностики медицинского состояния путем использования предсказанного временного графика симптомов, содержащий следующие шаги:
выработка множества временных графиков, каждый из которых представляет обычный курс болезни через набор характеристик величин симптомов по времени;
автоматический выбор конкретной болезни на основе набора величин симптомов, связанных с пациентом, аналогичного временному графику, связанному с конкретной болезнью.
29. Способ по п.28, в котором каждая болезнь связана с одним временным графиком, а способ характеризуется автоматическим задаванием вопросов пациенту с последующим созданием временного графика величин симптомов, характеризующих пациента на основе ответов на упомянутые вопросы.
30. Способ повторного использования объектов медицинских сценариев, используемых в автоматической диагностике или управлении медицинским состоянием, содержащий следующие шаги:
обеспечение множества объектов болезней, причем каждый объект болезней связан с множеством объектов симптомов; и
присвоение веса каждому симптому, в котором объект конкретной болезни может включать в себя предпочтительный вес для одного или более симптомов, и альтернативный вес для одного или более альтернативных симптомов, где альтернативные симптомы выбираются из набора заархивированных объектов симптомов, которые доступны для повторного использования.
31. Способ по п.30, дополнительно содержащий присвоение нового названия объекту симптомов, который используется повторно, при этом набор заархивированных объектов симптомов хранится в базе данных, а доступ к набору заархивированных объектов симптомов, хранящихся в базе данных, осуществляется через глобальную компьютерную сеть.
32. Способ по п.30, в котором каждый объект симптомов имеет лежащие в его основе объекты, используемые для установления симптома.
33. Автоматизированный способ диагностики медицинской проблемы пациента, включающий в себя следующие шаги:
a) предоставление компьютеру списка болезней, причем каждая болезнь связана со списком симптомов;
b) выбор из списка болезней, в первом режиме, подмножества болезней, имеющих совместные симптомы;
c) оценка, по меньшей мере, одного из совместных симптомов;
d) переключение с первого режима на второй режим на основе оценки совместных симптомов, когда выбирается конкретная болезнь;
e) выбор, во втором режиме, симптомов, связанных с конкретной болезнью;
f) оценка, по меньшей мере, одного из выбранных симптомов конкретной болезни; и
g) диагностика медицинской проблемы пациента на основе оценки совместных симптомов и выбранных симптомов.
34. Способ по п.33, в котором переключение происходит, когда достигнуты критерии, основанные или на оценке совместных симптомов, или на внешнем запросе от пользователя, или на диагностической оценке от оценивания совместных симптомов на диагностическом импульсе от оценивания совместных симптомов или на вероятности диагноза.
35. Основанная на объектах система автоматической диагностики, содержащая множество объектов, которые взаимодействуют, чтобы определить диагноз пациента, при этом в системе объекты включают в себя, по меньшей мере, следующие: объект болезней, объект симптомов, объект оценщика, объект вопросов, объект узлов и объект кандидатов.
36. Система по п.35, в которой объекты включают в себя множество объектов болезней и множество объектов симптомов, а также объект механизма для координации других объектов.
37. Основанная на объектах система автоматической диагностики, содержащая множество объектов, включающих в себя, по меньшей мере, множество объектов болезней и множество объектов симптомов, и в которой, по меньшей мере, некоторые из объектов выполняют свои собственные задачи и вызывают другие объекты, чтобы выполнять их задачи в должное время.
38. Способ автоматической диагностики, включающий компьютер, содержащий следующие шаги:
задавание вопросов пациенту;
прием ответов от пациента;
использование ответов для диагностики заболевания путем выбора подмножества возможных болезней на основе основной жалобы;
определение первого значительного симптома пациента; и
использование ответов для диагностики болезни путем задавания вопросов, связанных с симптомами выбранной болезни, где выбранная болезнь включает в себя первый значительный симптом.
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