Recognition Of Depression In Patients Research Articles

Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering.

Under the new trend of industry 4.0 software-defined network, the value of meta heuristic algorithm was explored in the recognition of depression in patients with androgenic alopecia (AGA), and there was an analysis on the effect of comprehensive psychological interventions in the rehabilitation of AGA patients. Based on the meta heuristic algorithm, the Filter and Wrapper algorithms were combined in this study to form a new feature selection algorithm FAW-FS. Then, the classification accuracy of FAW-FS and the ability to identify depression disorders were verified under different open data sets. 54 patients with AGA who went to the Medical Cosmetic Center of Tongji Hospital were selected as the research objects and rolled into a control group (routine psychological intervention) and an intervention group (routine + comprehensive psychological interventions) according to different psychological intervention methods, with 27 cases in each group. The differences of the self-rating anxiety scale (SAS), self-rating depression scale (SDS), Hamilton depression scale (HAMD), and physical, psychological, social, and substance function scores before and after intervention were compared between the two groups of AGA patients, and the depression efficacy and compliance of the two groups were analyzed after intervention. The results showed that the classification accuracy of FAW-FS algorithm was the highest in logistic regression (LR), decision tree (DT), K-nearest neighbor (KNN) algorithm, support vector machine (SVM) algorithm, and random forest (RF) algorithm, which was 80.87, 79.24, 80.42, 83.07, and 81.45%, respectively. The LR algorithm had the highest feature selection accuracy of 82.94%, and the classification accuracy of depression disorder in RF algorithm was up to 73.01%. Besides, the SDS, SAS, and HAMD scores of the intervention group were lower sharply than the scores of the control group (p < 0.05). The physical function, psychological function, social function, and substance function scores of the intervention group were higher markedly than those of the control group (p < 0.05). In addition, the proportions of cured, markedly effective, total effective, full compliance, and total compliance patients in the intervention group increased obviously in contrast to the proportions of the control group (p < 0.05). Therefore, it indicated that the FAW-FS algorithm established in this study had significant advantages in the recognition of depression in AGA patients, and comprehensive psychological intervention had a positive effect in the rehabilitation of depression in AGA patients.

Psychiatric Issues in Palliative Care: Recognition of Depression in Patients Enrolled in Hospice Care

Major depression is prevalent, difficult to assess, underrecognized, and undertreated in hospice settings. Furthermore, it is associated with significant morbidity and mortality. A retrospective chart review of 2716 patients receiving hospice care was conducted in order to determine the baseline rate of recognition of depression in patients with advanced, life-threatening illnesses by frontline hospice clinicians. Documentation of "depression" as either a diagnosis or problem was used as an estimate of how often these disorders were considered significant issues by the treating interdisciplinary team. Of the patients receiving home/long-term care, 10.8% (234/2168) had depression documented as a diagnosis or significant problem. The presence of recognized depression in this setting was associated with significant differences in gender, marital status, and terminal diagnoses. Total length of hospice care was also significantly longer. Of patients receiving inpatient care, 13.7% (75/548) had depression documented as a diagnosis or significant problem. Recognized depression in this setting was associated with significant differences in marital status, length of inpatient stay, and total time in hospice care. If documentation is representative of the care that the interdisciplinary teams provide, depression of any kind appears to be underrecognized in this population. In fact, it is on the low end of prevalence estimates in the literature. Improved depression assessment is needed in order to minimize the impact of depression on patients living with advanced, life-threatening illnesses.

The recognition of depression in patients referred to a consultation-liaison service

The recognition of depression was examined in 987 medical and surgical patients referred to a consultation-liaison psychiatry service. Overall concordance of recognition of depression by the referring doctor and diagnosis of depression by the consultant psychiatrist was 74%; 41% false-positive rate, 15% false-negative rate. Concordance was higher in the Renal Unit and lower in the General Medical Unit. Patients for whom there was discordance were significantly older than those for whom there was concordance. Patients referred for depression but not diagnosed as such by psychiatrists received DSM-III-R diagnoses of Organic Mental Disorder, Somatoform and Related Disorders, Psychoactive Substance Use Disorders and Personality Disorders. On the other hand, patients diagnosed as having depression but not referred as such were referred instead for ill-defined reasons (suspected psychological component to illness, coping problems), suicide risk evaluation and routine pre-operative or pre-dialysis assessment. The results highlight the continuing misdiagnosis of psychiatric disorders, especially Organic Mental Disorders, as well as the mislabelling of the syndrome described by psychiatrists as depression. This is part of the wider problem of defining the boundaries of a clinical depressive syndrome in the physically ill.