I am interested with the topic that has been presented. Explained in the video there
are 14 parameters used to predict factitious disorder. can you tell me about 14
parameters (in details) are used in your research?
Replies:
Factitious disorder or artificial mental disorder is a mental illness in which a
person acts as if they have a physical or psychological illness. A person who has
factitious disorder intentionally produces symptoms of the disease for the
purpose of receiving care and attention in a medical setting. People with this
mental disorder are even willing to undergo painful or risky tests to gain
sympathy from others. In addition, factitious disorder is related to severe
emotional difficulties and the possibility of patients hurting themselves by
continuing to produce more symptoms. Types of factitious disorder according to
information from the Cleveland Clinic, artificial disorders imposed on oneself and
artificial disorders imposed on others. People with this disorder produce or
fabricate the symptoms of the disease in others under their care. Their targets
include children, elderly adults, disabilities, or pets Diagnosing Factitious disorder
is extremely difficult. The reason is, most sufferers cannot be honest. Doctors
should eliminate any physical and mental illnesses before confirming the
diagnosis of factitious disorder. If you find that the physical symptoms
experienced by the patient turn out to be fake or fabricated, the doctor will refer
the patient to a psychiatrist. The psychiatrist will ask a series of questions from
specific criteria known as the diagnostic and statistical manual of mental
disorders (DSM-5). The main treatment for factitious disorder is psychotherapy
(a type of counseling). Treatment is likely to focus on changing the thinking and
behavior of individuals with disorders, such as cognitive-behavioral therap
Machine learning is used to make predictions or classifications. This process the
algorithm will make estimates and decisions about the pattern of a data. In machine
learning there are 3 methods, supervised, unsupersuperseded, reinforcement
learning. LVQ is included in Unsupervised learning. For the detection of factitious
disorder or others can use other methods. Depending on data collection, data
exploration, model selection (linear regression, logistic regression, neural network,
and so on), training the selected model, evaluating the model, and predicting it.
there is SVD or Singular Value Decomposition, Naive Bayes Classification, Support
Vector Machine
People with this disorder produce or fabricate the symptoms of the disease in others
under their care. Their targets include children, elderly adults, disabilities, or pets
Diagnosing Factitious disorder is extremely difficult. The reason is, most sufferers
cannot be honest. Doctors should eliminate any physical and mental illnesses before
confirming the diagnosis of factitious disorder. If you find that the physical
symptoms experienced by the patient turn out to be fake or fabricated, the doctor
will refer the patient to a psychiatrist. The psychiatrist will ask a series of questions
from specific criteria known as the diagnostic and statistical manual of mental
disorders (DSM-5). FD can attack at any age, with different backgrounds and causes
