+

Li et al., 2024 - Google Patents

Uncovering the heterogeneous effects of depression on suicide risk conditioned by linguistic features: A double machine learning approach

Li et al., 2024

Document ID
7415840209059585996
Author
Li S
Pan W
Yip P
Wang J
Zhou W
Zhu T
Publication year
Publication venue
Computers in human behavior

External Links

Snippet

Depression has been identified as a risk factor for suicide, yet limited evidence has elucidated the underlying pathways linking depression to subsequent suicide risk. Therefore, we aimed to examine the psychological mechanisms that connect depression to …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3487Medical report generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3431Calculating a health index for the patient, e.g. for risk assessment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/36Computer-assisted acquisition of medical data, e.g. computerised clinical trials or questionnaires
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2765Recognition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells

Similar Documents

Publication Publication Date Title
Barenholtz et al. Machine-learning approaches to substance-abuse research: emerging trends and their implications
Mridha et al. Automated stroke prediction using machine learning: an explainable and exploratory study with a web application for early intervention
Coppersmith et al. Exploratory analysis of social media prior to a suicide attempt
Basu How to conduct meta-analysis: a basic tutorial
Jurgens et al. Psychometric analysis of the heart failure somatic perception scale as a measure of patient symptom perception
Cox et al. Big data: Some statistical issues
Murrie et al. Youth with psychopathy features are not a discrete class: A taxometric analysis
Larsen et al. Lexical characteristics of words used in emotional Stroop experiments.
Men et al. Estimate the incubation period of coronavirus 2019 (COVID-19)
Saravia et al. MIDAS: Mental illness detection and analysis via social media
Huang et al. Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study
Ziwei et al. An application for classifying depression in tweets
Li et al. Uncovering the heterogeneous effects of depression on suicide risk conditioned by linguistic features: A double machine learning approach
Passarelli-Araujo et al. Machine learning and comorbidity network analysis for hospitalized patients with COVID-19 in a city in Southern Brazil
Ermers et al. The predictive validity of machine learning models in the classification and treatment of major depressive disorder: State of the art and future directions
Liu et al. Mining diabetes complication and treatment patterns for clinical decision support
Tan et al. Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
CN117219275A (en) Child drug-induced liver injury risk identification prediction method and system
Nasrullah et al. [Retracted] Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model
Liu et al. Detecting symptoms of depression on reddit
Li et al. Real-Time prediction of Sepsis in critical trauma patients: machine Learning–Based modeling study
Valentine et al. A primer on meta-analytic structural equation modeling: The case of depression
MacDonald et al. Loneliness and narcissism
Imamura et al. A technique for identifying three diagnostic findings using association analysis
CN112366002A (en) Method for evaluating unhealthy medicine in real world in hospital based on knowledge base
点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载