AIMC Topic: Hospitals, Psychiatric

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Time series forecasting of bed occupancy in mental health facilities in India using machine learning.

Scientific reports Jan 21, 2025
Machine learning models are vital for forecasting and optimizing healthcare parameters, especially in the context of rising mental health issues in India and globally. With increasing demand for mental health services, effective resource management, ...
Forecasting India Mental Health Services Hospitals, Psychiatric Bed Occupancy Humans Machine Learning
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Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis.

BMC psychiatry Dec 23, 2024
BACKGROUND: This study investigated socio-demographic, psychiatric, and psychological characteristics of patients with high versus low utilization of psychiatric inpatient services. Our objective was to better understand the utilization pattern and t...
Cross-Sectional Studies Male Middle Aged Mental Health Services Inpatients Humans Female Machine Learning Hospitalization Mental Disorders Aged Adult Switzerland Patient Acceptance of Health Care Hospitals, Psychiatric
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Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

BMC medical informatics and decision making Feb 6, 2020
BACKGROUND: A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects relevant to the organization...
Decision Support Techniques Databases, Factual Prognosis Electronic Health Records Female Humans Machine Learning Middle Aged ROC Curve Logistic Models Germany Hospitalization Hospitals, Psychiatric Aged Adult Male
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Symptomatology differences of major depression in psychiatric versus general hospitals: A machine learning approach.

Journal of affective disorders Sep 4, 2019
BACKGROUND: Symptomatology differences of major depressive disorder (MDD) in psychiatric and general hospitals in China leads to possible misdiagnosis. Looking at the symptomatology of first-visit patients with MDD in different mental health services...
Diagnostic and Statistical Manual of Mental Disorders Hospitals, General Hospitals, Psychiatric Depressive Disorder, Major China Surveys and Questionnaires Suicidal Ideation Symptom Assessment Adult Diagnostic Errors Humans Male Machine Learning Middle Aged Female Young Adult
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Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records.

JAMA network open Jul 3, 2019
IMPORTANCE: Inpatient violence remains a significant problem despite existing risk assessment methods. The lack of robustness and the high degree of effort needed to use current methods might be mitigated by using routinely registered clinical notes.
Humans Machine Learning Inpatients Netherlands Violence Behavior Observation Techniques Aggression Risk Factors Prognosis Hospitals, Psychiatric Adult Electronic Health Records Male Female Middle Aged Reproducibility of Results Risk Assessment
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Predicting hospital-acquired pneumonia among schizophrenic patients: a machine learning approach.

BMC medical informatics and decision making Mar 13, 2019
BACKGROUND: Medications are frequently used for treating schizophrenia, however, anti-psychotic drug use is known to lead to cases of pneumonia. The purpose of our study is to build a model for predicting hospital-acquired pneumonia among schizophren...
Comorbidity Decision Trees Schizophrenia Clozapine Antipsychotic Agents Hospitals, Psychiatric Healthcare-Associated Pneumonia Aged Aged, 80 and over Adult Male Middle Aged Humans Machine Learning Female Risk Factors
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Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Computational and mathematical methods in medicine Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Spain Sensitivity and Specificity Predictive Value of Tests Self-Injurious Behavior Male Humans Diagnosis, Computer-Assisted Female Natural Language Processing Middle Aged Machine Learning Text Messaging Surveys and Questionnaires Reproducibility of Results Patient Discharge Suicide, Attempted Reminder Systems Algorithms Psychometrics Hospitalization Telemedicine Hospitals, Psychiatric Mental Disorders Follow-Up Studies Young Adult Mental Health Services Adult
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Long Term Effect on Professionals' Knowledge, Practice and Attitudes towards User Involvement Four Years after Implementing an Organisational Development Plan: A Controlled Study.

PloS one Mar 14, 2016
BACKGROUND: Health service organisations are increasingly implementing user involvement initiatives according to requirements from governments, such as user representation in administrational boards, better information to users, and more involvement ...
Attitude of Health Personnel Follow-Up Studies Knowledge Bases Practice Guidelines as Topic Hospitals, Psychiatric Humans Female Male Surveys and Questionnaires
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Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

Studies in health technology and informatics Feb 19, 2024
The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data collection with the vision of a Learning Health System. To improve clinical decision-making and patient outcomes, a clinical dashboard was implemented t...
Humans Artificial Intelligence Clinical Decision-Making Mental Health Data Collection Hospitals, Psychiatric
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Personalized prognostic prediction of treatment outcome for depressed patients in a naturalistic psychiatric hospital setting: A comparison of machine learning approaches.

Journal of consulting and clinical psychology Jan 1, 2020
OBJECTIVE: Research on predictors of treatment outcome in depression has largely derived from randomized clinical trials involving strict standardization of treatments, stringent patient exclusion criteria, and careful selection and supervision of st...
Middle Aged Adolescent Treatment Outcome Antidepressive Agents Cognitive Behavioral Therapy Aged Young Adult Adult Male Depressive Disorder Hospitals, Psychiatric Humans Machine Learning Precision Medicine Prognosis Female Reproducibility of Results
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