Importance of Historical Records for the Development of Herbal Medicines

2021 ◽  
pp. 21-49
Author(s):  
Fernanda Lins Brandão Mügge ◽  
Leopoldo Clemente Baratto ◽  
Maria Graças Lins Brandão
Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
C Cwikla ◽  
K Schmidt ◽  
A Matthias ◽  
KM Bone ◽  
RP Lehmann ◽  
...  

Planta Medica ◽  
2009 ◽  
Vol 75 (09) ◽  
Author(s):  
C Jenkins ◽  
S Evans ◽  
J Hawrelak ◽  
H Wohlmuth

Planta Medica ◽  
2009 ◽  
Vol 75 (09) ◽  
Author(s):  
Y Oppamayun ◽  
W Rungapirumnan ◽  
W Suwanakaesawong ◽  
C Uerchaikul

Author(s):  
Tamara Green

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.


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