Your browser doesn't support javascript.
loading
The project for objective measures using computational psychiatry technology (PROMPT): Rationale, design, and methodology.
Kishimoto, Taishiro; Takamiya, Akihiro; Liang, Kuo-Ching; Funaki, Kei; Fujita, Takanori; Kitazawa, Momoko; Yoshimura, Michitaka; Tazawa, Yuki; Horigome, Toshiro; Eguchi, Yoko; Kikuchi, Toshiaki; Tomita, Masayuki; Bun, Shogyoku; Murakami, Junichi; Sumali, Brian; Warnita, Tifani; Kishi, Aiko; Yotsui, Mizuki; Toyoshiba, Hiroyoshi; Mitsukura, Yasue; Shinoda, Koichi; Sakakibara, Yasubumi; Mimura, Masaru.
Affiliation
  • Kishimoto T; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Takamiya A; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Liang KC; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Funaki K; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Fujita T; Department of Health Policy and Management, Keio University, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Kitazawa M; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Yoshimura M; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Tazawa Y; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Horigome T; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Eguchi Y; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Kikuchi T; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Tomita M; Oizumi Hospital, 6-9-1 Oizumi-gakuencho, Nerimaku, Tokyo, 178-0061, Japan.
  • Bun S; Sato Hospital, 948-1 Kunugutsuka, Nanyo, Yamagata, 999-2221, Japan.
  • Murakami J; Biwako Hospital, 1-8-5 Sakamoto, Otsu, Shiga, 520-0113, Japan.
  • Sumali B; Department of System Design Engineering, Keio University, 3-14-1 Hiyoshi, Minato-kita, Yokohama, Kanagawa, 223-0061, Japan.
  • Warnita T; Department of Computer Science, School of Computing, Tokyo Institute of Technology, 4259 Nagatsuda, Yokohama, Kanagawa, 226-8503, Japan.
  • Kishi A; Department of System Design Engineering, Keio University, 3-14-1 Hiyoshi, Minato-kita, Yokohama, Kanagawa, 223-0061, Japan.
  • Yotsui M; Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Minato-kita, Yokohama, Kanagawa, 223-0061, Japan.
  • Toyoshiba H; Center for Systems Medicine, Keio University, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
  • Mitsukura Y; FRONTEO, Inc., 2-12-23 Minato-Minami, Minato, Tokyo, 108-0075, Japan.
  • Shinoda K; Department of System Design Engineering, Keio University, 3-14-1 Hiyoshi, Minato-kita, Yokohama, Kanagawa, 223-0061, Japan.
  • Sakakibara Y; Department of Computer Science, School of Computing, Tokyo Institute of Technology, 4259 Nagatsuda, Yokohama, Kanagawa, 226-8503, Japan.
  • Mimura M; Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Minato-kita, Yokohama, Kanagawa, 223-0061, Japan.
Contemp Clin Trials Commun ; 19: 100649, 2020 Sep.
Article in En | MEDLINE | ID: mdl-32913919
Key words
AMED, Japan Agency for Medical Research and Development; Adabag, Adaptive Bagging; Adaboost, Adaptive Boosting; BD, Bipolar disorder; BDI-II, Beck Depression Inventory, Second Edition; BNN, Bayesian Neural Networks; CDR, Clinical Dementia Rating; CDT, Clock Drawing Test; CNN, Convolutional Neural Networks; CPP, cepstral peak prominence; DSM-5, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; Depression; F0, fundamental frequency; F1, F2, F3, first, second, and third formant frequencies; FedRAMP, Federal Risk and Authorization Management Program; GCNN, Gated Convolutional Neural Networks; GDS, Geriatric Depression Scale; HAM-D, Hamilton Depression Rating Scale; IEC, International Electrotechnical Commission; ISO, International Organization for Standardization; LM, Wechsler Memory Scale-Revised Logical Memory; LSTM, Long Short-Term Memory Networks; M.I.N.I., Mini-International Neuropsychiatric Interview; MADRS, Montgomery-Asberg Depression Rating Scale; MARS, Motor Agitation and Retardation Scale; MCI, mild cognitive impairment; MDD, Major depressive disorder; MFCC, mel-frequency cepstrum coefficients; MMSE, Mini-Mental State Examination; MRI, magnetic resonance imaging; Machine learning; MoCA, Montreal Cognitive Assessment; NPI, Neuropsychiatric Inventory; Natural language processing; Neurocognitive disorder; PET, positron emission tomography; PROMPT, Project for Objective Measures Using Computational Psychiatry Technology; PSQI, Pittsburgh Sleep Quality Index; RF, Random Forest; RGB, red, green, blue; SCID, Structural Clinical Interview for DSM-5; SVM, Support Vector Machine; SVR, Support Vector Regression; Screening; UI, uncertainty interval; UMIN, University Hospital Medical Information Network; UV, ultraviolet; YLDs, years lived with disability; YMRS, Young Mania Rating Scale

Full text: 1 Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies Language: En Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies Language: En Year: 2020 Type: Article