| 0:00:10 | mm kay |
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| 0:00:30 | analysis over the mental disorders it's just actually |
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| 0:00:34 | we present was no difference is just i |
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| 0:00:39 | and yes what these regions were able to identify diners case |
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| 0:00:46 | is also the instability of the worst mse |
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| 0:00:52 | in the present study me in my colleagues in to see whether this prediction would |
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| 0:00:57 | benefit from information on health really quality of life and the severity of the disease |
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| 0:01:04 | using data from perspective low we estimate by h |
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| 0:01:11 | perhaps i z there was not predictive four times original work |
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| 0:01:19 | in other words more and not from more for more |
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| 0:01:25 | shorter time |
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| 0:01:26 | and that stress |
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| 0:01:30 | what implies a combination of several you |
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| 0:01:34 | o is more medical reimbursed |
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| 0:01:39 | however is not used very often you elemental is or |
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| 0:01:45 | in our study well like most predictive prototype you're more |
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| 0:01:51 | but only one dimension s sixty |
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| 0:01:57 | in this track showing the estimated survivors you can see that patients with the worst |
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| 0:02:03 | quality of life |
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| 0:02:04 | sure you the red line and the median survival which is longer durations but the |
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| 0:02:09 | better than my are shown here with the blue line |
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| 0:02:14 | the difference in the in survive amount twenty weeks when you're five models |
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| 0:02:21 | we concluded that when new patients with the major depressive disorder are identified |
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| 0:02:27 | not only should use a very few the depression be measured |
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| 0:02:30 | but also the overall l really quality of my |
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| 0:02:35 | this will improve estimates for doctors patience and avoid any expected loss work |
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