scholarly journals Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior

2019 ◽  
Vol 10 ◽  
Author(s):  
Sumithra Velupillai ◽  
Gergö Hadlaczky ◽  
Enrique Baca-Garcia ◽  
Genevieve M. Gorrell ◽  
Nomi Werbeloff ◽  
...  
2016 ◽  
Vol 11 (01) ◽  
Author(s):  
Anjala Kalsie ◽  
Ashima Arora

There has been a recent increase in the financial distress in assets of the banking industry. Constant defaults by corporate houses have led banks reach gross NPA levels of 5%.One major reason for this rise can be improper risk assessment by banks while giving out loans and improper monitoring of their portfolio companies. And further Indian banks do not use the most robust risk assessment tools and fail in taking early warning action. The paper tries to use two popular models, namely the Altman Zscore model and the Merton Model to predict financial distress in companies which have been the top defaulters in the recent past.The paper tried to determine whether such models are effective in predicting financial distress and how much before the occurrence of the actual event. Financial ratios and other quantitative data from March 2009- March 2013 forms the sample for the study for Kingfisher Airlines, MoserBaer, Gammon India, Educomp Solutions and Deccan Chronicles. The study found Merton model to be a better indicator of financial distress (of companies) than Altman Z score model. However, none of the models were able to judge the possibility of default at the time of issuance of loan indicating at its limitation. Nevertheless, these models which essentially are data driven for assessing the credit risk must widely be used by banks more often, replacing the existing reliance on simple ratios and intuition method.


Author(s):  
Rikito Hisamatsu ◽  
Rikito Hisamatsu ◽  
Kei Horie ◽  
Kei Horie

Container yards tend to be located along waterfronts that are exposed to high risk of storm surges. However, risk assessment tools such as vulnerability functions and risk maps for containers have not been sufficiently developed. In addition, damage due to storm surges is expected to increase owing to global warming. This paper aims to assess storm surge impact due to global warming for containers located at three major bays in Japan. First, we developed vulnerability functions for containers against storm surges using an engineering approach. Second, we simulated storm surges at three major bays using the SuWAT model and taking global warming into account. Finally, we developed storm surge risk maps for containers based on current and future situations using the vulnerability function and simulated inundation depth. As a result, we revealed the impact of global warming on storm surge risks for containers quantitatively.


2012 ◽  
Vol 61 (4) ◽  
pp. 662-663 ◽  
Author(s):  
Ian M. Thompson ◽  
Donna P. Ankerst

2021 ◽  
pp. 103985622098403
Author(s):  
Marianne Wyder ◽  
Manaan Kar Ray ◽  
Samara Russell ◽  
Kieran Kinsella ◽  
David Crompton ◽  
...  

Introduction: Risk assessment tools are routinely used to identify patients at high risk. There is increasing evidence that these tools may not be sufficiently accurate to determine the risk of suicide of people, particularly those being treated in community mental health settings. Methods: An outcome analysis for case serials of people who died by suicide between January 2014 and December 2016 and had contact with a public mental health service within 31 days prior to their death. Results: Of the 68 people who had contact, 70.5% had a formal risk assessment. Seventy-five per cent were classified as low risk of suicide. None were identified as being at high risk. While individual risk factors were identified, these did not allow to differentiate between patients classified as low or medium. Discussion: Risk categorisation contributes little to patient safety. Given the dynamic nature of suicide risk, a risk assessment should focus on modifiable risk factors and safety planning rather than risk prediction. Conclusion: The prediction value of suicide risk assessment tools is limited. The risk classifications of high, medium or low could become the basis of denying necessary treatment to many and delivering unnecessary treatment to some and should not be used for care allocation.


2016 ◽  
pp. 65-68
Author(s):  
Oksana Mikitey

Stroke is an important medical and social problem, and stroke risk assessment tools have difficulty on the interaction of risk factors and the effects of certain risk factors with analysis by age, gender, race, because this information fully available to global risk assessment tools. In addition, these tools tend to be focused and usually do not include the entire range of possible factors contributing. The aim of the study was to conduct a comparison of brain vascular lesions pool with ischemic stroke (II) based predictive analysis and assessment of the main risk factors in patients with primary and recurrent ischemic stroke. Prognostically significant risk factors for recurrent ischemic stroke is not effective antihypertensive therapy, multiple stenoses any one pool vascular brain, duration of hypertension (AH) over 5 years and regular smoking patients (p<0.001). In the initial localization in the second vertebrobasilar recurrent stroke was significantly (p<0.05) more developed in the same pool in women than in men; and the localization of the primary carotid AI in the pool, re-developed stroke often unreliable in the same pool in women than in men.


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