JPWO2019246239A5 - - Google Patents
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- JPWO2019246239A5 JPWO2019246239A5 JP2020571611A JP2020571611A JPWO2019246239A5 JP WO2019246239 A5 JPWO2019246239 A5 JP WO2019246239A5 JP 2020571611 A JP2020571611 A JP 2020571611A JP 2020571611 A JP2020571611 A JP 2020571611A JP WO2019246239 A5 JPWO2019246239 A5 JP WO2019246239A5
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- 230000003340 mental Effects 0.000 claims 10
- 230000004630 mental health Effects 0.000 claims 5
- 238000003058 natural language processing Methods 0.000 claims 4
- 230000004927 fusion Effects 0.000 claims 3
- 230000000007 visual effect Effects 0.000 claims 3
- 230000000875 corresponding Effects 0.000 claims 2
- 238000003745 diagnosis Methods 0.000 claims 2
- 201000010099 disease Diseases 0.000 claims 2
- 238000000034 method Methods 0.000 claims 2
- 201000008839 post-traumatic stress disease Diseases 0.000 claims 2
- 230000000699 topical Effects 0.000 claims 2
- 206010002855 Anxiety Diseases 0.000 claims 1
- 206010057666 Anxiety disease Diseases 0.000 claims 1
- 206010004938 Bipolar disease Diseases 0.000 claims 1
- 206010016256 Fatigue Diseases 0.000 claims 1
- 206010037180 Psychiatric symptom Diseases 0.000 claims 1
- 206010042458 Suicidal ideation Diseases 0.000 claims 1
- 230000036506 anxiety Effects 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 claims 1
- 239000002131 composite material Substances 0.000 claims 1
- 230000003247 decreasing Effects 0.000 claims 1
- 201000000980 schizophrenia Diseases 0.000 claims 1
- 230000035945 sensitivity Effects 0.000 claims 1
Claims (20)
（ａ）前記被検者から音声又はテキストのデータを取得するステップと、
（ｂ）自然言語処理（ＮＬＰ）モデル、音響モデル、及び／又は、視覚モデルを含む１つ以上の個別モデル、結合モデル、又は、融合モデルを使用して前記データを処理するステップと、
（ｃ）前記被検者の前記精神状態の評価を生成するステップと、
を含む方法。 In a method for assessing a subject's mental state,
(A) A step of acquiring voice or text data from the subject, and
(B) A step of processing the data using one or more individual models, coupled models, or fusion models, including a natural language processing (NLP) model, an acoustic model, and / or a visual model.
(C) A step of generating an assessment of the mental state of the subject, and
How to include.
請求項１に記載の方法。 The voice data in (a) sends (i) at least one query in the form of voice or text to the subject, and the at least one query is a response from the subject in at least one language. (Ii) is a step of receiving speech data including the response of the at least one language or text from the subject in response to sending the at least one query.
The method according to claim 1.
請求項１に記載の方法。 The mental state is selected from a group consisting of depression, anxiety, stress, post-traumatic stress disorder (PTSD), schizophrenia, suicidal tendencies, bipolar disorder, fatigue, loneliness, and decreased motivation. Be done,
The method according to claim 1.
請求項１に記載の方法。 The assessment includes a score indicating the risk severity of the mental state.
The method according to claim 1.
をさらに含む請求項４に記載の方法。 The step of converting the score into one or more scores with clinical values,
The method according to claim 4, further comprising.
請求項１に記載の方法。 The assessment further comprises the step of transmitting the assessment to a healthcare professional for use in assessing the subject's mental state, the transmission being just-in-time or said during the assessment. Performed in real time after the assessment is completed or within the clinically feasible future range, the assessment is transmitted within a report indicating the subject's mental state.
The method according to claim 1.
請求項１に記載の方法。 The one or more individual models, combined models, or fusion models include a composite model that is a collection of two or more different models.
The method according to claim 1.
（ａ）少なくとも一つのクエリーを前記被検者に送信するステップであって、前記少なくとも一つのクエリーは、前記被検者から少なくとも一つの応答を引き出すよう構成されている、ステップと、
（ｂ）前記少なくとも１つのクエリーを送信することに応じて前記被検者から前記少なくとも１つの応答を含むデータを受信するステップであって、前記データが発話データを含むステップと、
（ｃ）自然言語処理（ＮＬＰ）モデル、音響モデル、及び／又は、視覚モデルを含む１つ以上の個別モデル、結合モデル、又は、融合モデルを使用して前記データを処理して、出力を生成するステップと、
（ｄ）少なくとも前記出力を使用して、スコア及び前記スコアの信頼レベルを生成するステップであって、前記スコアは前記被検者が前記精神的健康障害を有するという推定を含むステップと、
を含む方法。 In a method for screening or monitoring a subject or for diagnosing a mental health disorder of the subject.
(A) A step of sending at least one query to the subject, wherein the at least one query is configured to elicit at least one response from the subject.
(B) A step of receiving data including the at least one response from the subject in response to sending the at least one query, wherein the data includes utterance data.
(C) Process the data using one or more individual models, coupled models, or fusion models, including natural language processing (NLP) models, acoustic models, and / or visual models to generate output. Steps to do and
(D) A step of generating a score and a confidence level of the score using at least the output, wherein the score includes an estimation that the subject has the mental health disorder.
How to include.
請求項８に記載の方法。 The confidence level is at least partially based on the quality of the speech signal of the speech data or at least partially based on an indicator of confidence in the speech recognition process performed on the speech signal of the speech data.
The method according to claim 8.
請求項８に記載の方法。 The confidence level is at least partially based on the level of truth associated with the score.
The method according to claim 8.
請求項８に記載の方法。 The score is continually updated with information obtained from each of the subject's responses to the preceding query.
The method according to claim 8.
請求項１１に記載の方法。 During the screening, monitoring, or diagnosis, or the screening, monitoring, for use in assessing the mental health of the subject and / or providing care for the mental health. Alternatively, it further comprises the step of transmitting the one or more scores with clinical values to the subject and / or the subject's contacts, healthcare professionals, after the diagnosis is completed.
The method according to claim 11.
リアルタイムで、前記少なくとも１つの応答に少なくとも部分的に基づいて、少なくとも１つの更なるクエリーを生成するステップと、
前記少なくとも１つの更なるクエリーを使用して、前記信頼レベルが前記所定の基準を満たすまでステップ（ａ）～（ｄ）を繰り返すステップと、
をさらに含む請求項８に記載の方法。 The step of determining that the confidence level does not meet a predetermined criterion,
A step of generating at least one further query in real time, at least partially based on said at least one response.
A step of repeating steps (a)-(d) until the confidence level meets the predetermined criteria using the at least one additional query.
The method according to claim 8, further comprising.
請求項８に記載の方法。 Further including the step of extracting one or more topics of interest of the subject from the utterance data using the topic model.
The method according to claim 8.
を更に含む、
請求項１４に記載の方法。 Steps to relate one or more of the above topics to mental health,
Including,
The method according to claim 14.
をさらに含む、
請求項１５に記載の方法。 Steps to use at least one or more of the above-mentioned related topics as the basis for analysis reported to stakeholders,
Including,
The method according to claim 15.
前記被検者から発話データを取得して前記発話データをコンピュータメモリに記憶するステップであって、前記発話データが音声及び／又は視覚形式で前記被検者に送信される複数のクエリーへの応答を含む、ステップと、
（１）前記被検者が前記精神状態を有するかどうかを推定する際の感度に関して最適化される第１のモデル、又は、（２）前記被検者が前記精神状態を有するかどうかを推定する際の特異度に関して最適化される第２のモデルを選択するステップと、
前記選択された第１のモデル又は前記第２のモデルを使用して前記発話データを処理し、前記推定を生成するステップと、
前記推定を前記利害関係者に送信するステップと、
を含む方法。 In a method for estimating whether a subject has a mental state and giving the estimation to stakeholders.
A step of acquiring utterance data from the subject and storing the utterance data in computer memory, in response to a plurality of queries in which the utterance data is transmitted to the subject in audio and / or visual form. Including, steps and,
(1) a first model optimized for sensitivity in estimating whether the subject has the mental state, or (2) estimating whether the subject has the mental state. And the step of selecting a second model that is optimized for specificity when
A step of processing the utterance data using the selected first model or the second model to generate the estimation.
The step of sending the estimation to the stakeholder,
How to include.
請求項１に記載の方法。 A step in which metadata is used to generate said one or more assessments of said mental state associated with said subject, said metadata is demographic information and / or the subject's medical history. Including, including more steps,
The method according to claim 1.
請求項８に記載の方法。 Further comprising associating the syntax, emotions, meanings, and / or topical information with the corresponding parts of the utterance data for use in modeling.
The method according to claim 8.
請求項８に記載の方法。 Further comprising associating the syntax, emotions, meanings, and / or topical information with the corresponding portion of the utterance data for use in reporting the analysis to stakeholders.
The method according to claim 8.
Applications Claiming Priority (27)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862687176P | 2018-06-19 | 2018-06-19 | |
| US62/687,176 | 2018-06-19 | ||
| US201862733552P | 2018-09-19 | 2018-09-19 | |
| US201862733568P | 2018-09-19 | 2018-09-19 | |
| US62/733,568 | 2018-09-19 | ||
| US62/733,552 | 2018-09-19 | ||
| US201862749113P | 2018-10-22 | 2018-10-22 | |
| US62/749,113 | 2018-10-22 | ||
| US201862749669P | 2018-10-23 | 2018-10-23 | |
| US201862749663P | 2018-10-23 | 2018-10-23 | |
| US201862749654P | 2018-10-23 | 2018-10-23 | |
| US62/749,654 | 2018-10-23 | ||
| US62/749,663 | 2018-10-23 | ||
| US62/749,669 | 2018-10-23 | ||
| US201862749672P | 2018-10-24 | 2018-10-24 | |
| US62/749,672 | 2018-10-24 | ||
| US201862754541P | 2018-11-01 | 2018-11-01 | |
| US201862754534P | 2018-11-01 | 2018-11-01 | |
| US201862754547P | 2018-11-01 | 2018-11-01 | |
| US62/754,534 | 2018-11-01 | ||
| US62/754,547 | 2018-11-01 | ||
| US62/754,541 | 2018-11-01 | ||
| US201862755356P | 2018-11-02 | 2018-11-02 | |
| US201862755361P | 2018-11-02 | 2018-11-02 | |
| US62/755,361 | 2018-11-02 | ||
| US62/755,356 | 2018-11-02 | ||
| PCT/US2019/037953 WO2019246239A1 (en) | 2018-06-19 | 2019-06-19 | Systems and methods for mental health assessment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2021529382A JP2021529382A (en) | 2021-10-28 |
| JPWO2019246239A5 true JPWO2019246239A5 (en) | 2022-06-27 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020571611A Pending JP2021529382A (en) | 2018-06-19 | 2019-06-19 | Systems and methods for mental health assessment |
Country Status (4)
| Country | Link |
|---|---|
| US (2) | US11120895B2 (en) |
| EP (1) | EP3811245A4 (en) |
| JP (1) | JP2021529382A (en) |
| WO (1) | WO2019246239A1 (en) |
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- 2020-12-22 US US17/130,649 patent/US20210110895A1/en not_active Abandoned
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