Long Short-Term Memory-Based Deep Learning Models for Screening Parkinson’s Disease Using Sequential Diagnostic Codes

Background@#and Purpose It is challenging to detect Parkinson’s disease (PD) in its early stages, which has prompted researchers to develop techniques based on machine learning methods for detecting PD. However, previous studies did not fully incorporate the slow progression of PD over a long period of time nor consider that its symptoms occur in a time-sequential manner. Contributing to the literature on PD, which has relied heavily on cross-sectional data, this study aimed to develop a method for detecting PD early that can process time-series information using the long short-term memory (LSTM) algorithm. @*Methods@#We sampled 926 patients with PD and 9,260 subjects without PD using medicalclaims data. The LSTM algorithm was tested using diagnostic histories, which contained the diagnostic codes and their respective time information. We compared the prediction power of the 12-month diagnostic codes under two different settings over the 4 years prior to the first PD diagnosis. @*Results@#The model that was trained using the most-recent 12-month diagnostic codes had the best performance, with an accuracy of 94.25%, a sensitivity of 82.91%, and a specificity of 95.26%. The other three models (12-month codes from 2, 3, and 4 years prior) were found to have comparable performances, with accuracies of 92.27%, 91.86%, and 91.81%, respectively.The areas under the curve from our data settings ranged from 0.839 to 0.923. @*Conclusions@#We explored the possibility that PD specialists could benefit from our proposed machine learning method as an early detection method for PD.

Factors Associated with Willingness to Volunteer for End-Stage AIDS Patients among Hospice Volunteers / 한국호스피스완화의료학회지

PURPOSE: With the implementation of the Act on Life Sustaining Treatment, hospice-palliative care will be extended to non-cancer diseases including the acquired immunodeficiency syndrome (AIDS). However, there are concerns about negative perceptions and prejudice toward AIDS patients. The purpose of this study was to investigate factors related with willingness to volunteer (WV) for patients with end-stage AIDS among hospice volunteers. METHODS: Participants were 326 hospice volunteers from 19 institutions. A self-administered questionnaire was employed to investigate the participants' WV for end-stage AIDS patients, and the questions were answered using an 11-point rating scale. Demographics, volunteer activity, satisfaction with hospice volunteering, knowledge of AIDS, and attitudes towards AIDS patients (i.e., fear AIDS patients, negative attitude towards AIDS patients, personal stigmatization and stigmatizing attitude) were also investigated. A multiple regression analysis was performed to examine factors associated with WV for patients with end-stage AIDS. RESULTS: WV for patients with end-stage AIDS was 2.82 points lower than that for cancer patients (P < 0.001). The multiple regression analysis showed that the higher the level of satisfaction with hospice volunteering (P=0.002) and the lower the level of “personal stigmatization” (P < 0.001), participants showed greater WV for end-stage AIDS patients. CONCLUSION: The level of satisfaction with hospice volunteering and “personal stigmatization” were factors associated with participants' WV for patients with end-stage AIDS.

Application Status and Its Affecting Factors of Double Standard for Multinational Corporations in Korea / 예방의학회지

OBJECTIVE: We intended to evaluate the double standard status and to identify factors of determining double standard criteria in multinational corporations of Korea, and specifically those in the occupational health and safety area. METHODS: A postal questionnaire had been sent, between August 2002 and September 2002, to multinational corporations in Korea. A double standard company was defined as those who answered in more than one item as adopting a different standard among the five items regarding double standard identification. By comparing double standard companies with equivalent standard companies, determinants for double standards were then identified using logistic regression analysis. RESULTS: Of multinational corporations, 45.1% had adopted a double standard. Based on the question naire's scale level, the factor of 'characteristic and size of multinational corporation' was found to have the most potent impact on increasing double standard risk. On the variable level, factors of 'number of affiliated companies' and 'existence of an auditing system with the parent company' showed a strong negative impact on double standard risk. CONCLUSION: : Our study suggests that a distinctive approach is needed to manage the occupational safety and health for multinational corporations. This approach should be focused on the specific level of a corporation, not on a country level.