AI Medical Compendium Journal:
The international journal of neuropsychopharmacology

Showing 1 to 4 of 4 articles

Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Age Factors Methylphenidate Female Magnetic Resonance Imaging Drug Therapy, Computer-Assisted Support Vector Machine Male Norepinephrine Plasma Membrane Transport Proteins Body Weight Child Receptors, Adrenergic, alpha-2 Rest Treatment Outcome Central Nervous System Stimulants Brain Attention Deficit Disorder with Hyperactivity Prognosis Stroop Test Polymorphism, Genetic Lead Humans Cotinine
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Examination of the relationship between D-amino acid profiles and cognitive function in individuals with mild cognitive impairment: a machine learning approach.

The international journal of neuropsychopharmacology Apr 11, 2025
BACKGROUND: The global prevalence of dementia is significantly increasing. Early detection and prevention strategies, particularly for mild cognitive impairment (MCI), are crucial but currently hindered by the lack of established biomarkers. Here, we...
Male Middle Aged Aged, 80 and over Cross-Sectional Studies Proline Machine Learning Humans Alanine Cognitive Dysfunction Biomarkers Neural Networks, Computer Support Vector Machine Female Aged
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Machine Learning Analysis of Blood microRNA Data in Major Depression: A Case-Control Study for Biomarker Discovery.

The international journal of neuropsychopharmacology Nov 26, 2020
BACKGROUND: There is a lack of reliable biomarkers for major depressive disorder (MDD) in clinical practice. However, several studies have shown an association between alterations in microRNA levels and MDD, albeit none of them has taken advantage of...
Treatment Outcome Unsupervised Machine Learning RNA-Seq Affect Antidepressive Agents Predictive Value of Tests Supervised Machine Learning Biomarkers Depressive Disorder, Major Severity of Illness Index Case-Control Studies Humans Circulating MicroRNA
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Making Sense of Computational Psychiatry.

The international journal of neuropsychopharmacology May 27, 2020
In psychiatry we often speak of constructing "models." Here we try to make sense of what such a claim might mean, starting with the most fundamental question: "What is (and isn't) a model?" We then discuss, in a concrete measurable sense, what it mea...
Models, Psychological Therapy, Computer-Assisted Psychiatry Computer Simulation Diagnosis, Computer-Assisted Models, Statistical Artificial Intelligence Mental Disorders Humans
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