Answer:
Explanation:
- support to countries
- addressing the impact of the epidemic not only
at an individual and community level but also at a societal level
- increasing people's access to technologies for prevention and to
drugs needed for appropriate care and treatment.
from this link, read this then you can change to not plagiarize, but those are important points and a summery of the first couple pages
https://data.unaids.org/publications/irc-pub03/una96-2_en.pdf
External I think so yeah chech it out
Answer:
Aristocracy: these were the people at the top of Ancient Greek society. Depending on the region, they enjoyed political rights like the right to vote or to hold public office. They often served in the military, which they considered an honor, and owned businesses.
The Metis: this was the Middle Class. Lacking political rights in most cases, they could still own property, and were regarded as valuable members of society.
Slaves: Ancient Greece was a slaved-based society, and slaves were common, in some areas, the majority of the people. Slaves were property and had no rights whatsoever. However, they could obtain their freedom through merit or by purchasing it.
AUD or the Alcohol Use Disorder specified in <span>ICD-10-CM Diagnosis.
Casey was having the disorder usually known as AUD. </span>Problem drinking that becomes severe is given the medical diagnosis of “alcohol use disorder” or AUD. AUD is a chronic relapsing brain disease characterized by compulsive alcohol use, loss of control over alcohol intake, and a negative emotional state when not using. <span>To be diagnosed with AUD, individuals must meet certain criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders (DSM). Under DSM–5, the </span>current version<span> of the DSM, anyone meeting any two of the 11 criteria during the same 12-month period receives a diagnosis of AUD. </span>
A rising amount of clinical data may become too much for a doctor to manage on their own in order to make the best decisions. We sought to create algorithms to predict patient outcomes following the overactive bladder treatments onabotulinumtoxinA (OBTX-A) injection and sacral neuromodulation using an unique machine learning (ML) approach (SNM). In order to predict outcomes like treatment response and a decline in urge incontinence events in the OBTX-A and SNM cohorts, novel ML algorithms were created and given the task of doing so in test and validation sets.
In terms of accuracy, novel ML systems outperformed expert urologists at predicting OBTX-A outcomes and were comparable at predicting SNM outcomes. Since some parts of the doctor-patient relationship are nuanced and imperceptible, ML may supplement a doctor's clinical judgement rather than taking its place.
<h3>
What is the short definition of machine learning?</h3>
Artificial intelligence, which is widely defined as a machine's ability to mimic intelligent human behaviour, includes the subfield of machine learning. Artificial intelligence (AI) systems are used to carry out complicated tasks in a manner akin to how people solve issues.
To learn more about Machine learning visit:
brainly.com/question/16042499
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