Psychological Disorders

Warkentin, Donald L.

doi:10.1021/ac00060a607

Cited by 4 publications

(7 citation statements)

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“…Researchers [38] suggested automatized systems for the sample collection. Researchers [39] found that across various fields of practice, disabled people having mental health problems have advised staying away due to societal issues.…”

Section: Related Workmentioning

confidence: 99%

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Diagnosis Support System for General Diseases by Implementing a Novel Machine Learning Based Classifier

Kamra¹,

Kumar²,

Mohammadian³

2021

IJCDS

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Millions of folks around the earth are affliction from late disease identification and diagnosis. An incredible amount of health information has been obtained by the latest technologies in digital medical services and information communication technologies. Disease diagnosis and artificially intelligent decision support systems have drawn tremendous attention from many scientists and research community worldwide. Various algorithms developed and applied with the aid of machine learning techniques that can substantially lead to the resolution of the system of health care and can help personnel involved in the early diagnosis of diseases. This research paper will propose an artificial intelligent algorithm which helps us to effectively, rapidly and accurately classify the information. The Proposed Disease Diagnosis Support Systems (DDSS) can assist clinicians to monitor the information, facilitate their evaluation by means of a preparatory treatment and decrease evaluation time per patient. The patients may inevitably be notified and recommended dietary suggestions also. This system will allow clinicians to focus on attending patients in accordance with their homeostasis. It decreases the volume of work of doctors and enables them to define patients who need to be examined more urgently or meticulously. Even with the widespread growth of such systems security of digital data and its privacy is still a major challenge yet to solve.

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Section: Related Workmentioning

confidence: 99%

“…• For a doctor to do the correct decision, the system must be simple in nature. Before the system is installed, usability tests shall be performed [39].…”

Section: Points To Remember While Designing Proposed -Ddssmentioning

confidence: 99%

Diagnosis Support System for General Diseases by Implementing a Novel Machine Learning Based Classifier

Kamra¹,

Kumar²,

Mohammadian³

2021

IJCDS

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“…The method of assessing and measuring psychological conditions or the socio-cultural associations of individuals with probable psychological disorders may be described as a psychological evaluation. In particular, the diagnosis is used to identify if a person's symptoms fulfill all particular psychological disorder requirements [1].…”

Section: Psychologicalmentioning

confidence: 99%

“…In the decision-making mechanism relying on AI Nunes, Pinheiro and Pequeno [1] indicated that many smart techniques were integrated. However, the automation of this strategy is very important, particularly when a multi-criteria assessment is required.…”

Section: Related Workmentioning

confidence: 99%

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Machine Learning Based Psychological Disease Support Model Assisting Psychoanalysts and Individuals in Clinical Decision Ministration

Mohammadian¹,

Kamra²,

Kumar³

2020

IJCDS

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The Long and the Short of Gamma‐Ray Bursts

Katz¹,

Canel²

1996

ApJ

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We report evidence from the Third BATSE Gamma-Ray Burst Catalog that long s) and (T 90 [ 10 short s) gamma-ray bursts (GRBs) represent distinct source populations. Their spatial distribu-(T 90 \ 10 tions are signiÐcantly di †erent, with long bursts having but short bursts SV /V max T \ 0.282^0.014 having di †ering by 0.103^0.024, signiÐcant at the 4.3 p level. This implies SV /V max T \ 0.385^0.019, di †erent spatial origin and physical processes for long and short bursts. Long bursts may be explained by accretion-induced collapse. Short bursts require another mechanism, for which we suggest neutron star collisions. These are capable of producing neutrino bursts as short as a few milliseconds, consistent with the shortest observed timescales in GRBs. We brieÑy investigate the parameters of clusters in which neutron star collisions may occur, and discuss the nuclear evolution of expelled and accelerated matter.

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Psychological Disorders

Cited by 4 publications

References 0 publications

Diagnosis Support System for General Diseases by Implementing a Novel Machine Learning Based Classifier

Diagnosis Support System for General Diseases by Implementing a Novel Machine Learning Based Classifier

Machine Learning Based Psychological Disease Support Model Assisting Psychoanalysts and Individuals in Clinical Decision Ministration

The Long and the Short of Gamma‐Ray Bursts

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