Toward more efficient diagnostic criteria sets and rules: The use of optimization approaches in addiction science.
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Kenneth J Sher | Cassandra L Boness | Jordan E Stevens | Douglas Steinley | Timothy J Trull | Yoanna E McDowell | Christopher S Martin | D. Steinley | T. Trull | K. Sher | Jordan E. Stevens | Cassandra L. Boness | Y. McDowell
[1] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[2] B. Grant,et al. The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings , 2015, Social Psychiatry and Psychiatric Epidemiology.
[3] G Pozzato,et al. Gender differences in pharmacokinetics of alcohol. , 2001, Alcoholism, clinical and experimental research.
[4] Lawrence Hubert,et al. The variance of the adjusted Rand index. , 2016, Psychological methods.
[5] N. Volkow,et al. The neuroscience of addiction , 2005, Nature Neuroscience.
[6] J Rehm,et al. Reduction of drinking in problem drinkers and all-cause mortality. , 2013, Alcohol and alcoholism.
[7] H. Thomasson,et al. Gender differences in alcohol metabolism. Physiological responses to ethanol. , 1995, Recent developments in alcoholism : an official publication of the American Medical Society on Alcoholism, the Research Society on Alcoholism, and the National Council on Alcoholism.
[8] Kenneth J Sher,et al. Limits of Current Approaches to Diagnosis Severity Based on Criterion Counts , 2015, Clinical psychological science : a journal of the Association for Psychological Science.
[9] G Gmel,et al. Defining substance use disorders: do we really need more than heavy use? , 2013, Alcohol and alcoholism.
[10] W. Bickel,et al. What Is Addiction? How Can Animal and Human Research Be Used to Advance Research, Diagnosis, and Treatment of Alcohol and Other Substance Use Disorders? , 2018, Alcoholism, clinical and experimental research.
[11] M. P. Vecchi,et al. Optimization by Simulated Annealing , 1983, Science.
[12] Nicholas G. Martin,et al. Alcohol Consumption Indices of Genetic Risk for Alcohol Dependence , 2009, Biological Psychiatry.
[13] A. Budney. Are specific dependence criteria necessary for different substances: how can research on cannabis inform this issue? , 2006, Addiction.
[14] J. Wakefield,et al. DSM‐5 substance use disorder: how conceptual missteps weakened the foundations of the addictive disorders field , 2015, Acta psychiatrica Scandinavica.
[15] Fred W. Glover,et al. Future paths for integer programming and links to artificial intelligence , 1986, Comput. Oper. Res..
[16] Kenneth J Sher,et al. Hazardous use should not be a diagnostic criterion for substance use disorders in DSM-5. , 2011, Journal of studies on alcohol and drugs.
[17] T. Widiger,et al. Psychiatric diagnosis: lessons from the DSM-IV past and cautions for the DSM-5 future. , 2012, Annual review of clinical psychology.
[18] A general theory of transition to addiction it was and a general theory of transition to addiction it is , 2014, Psychopharmacology.
[19] Janet B W Williams. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[20] D. Watson. Objective tests as instruments of psychological theory and research. , 2012 .
[21] J. Welte,et al. Gender comparisons of alcohol consumption in alcoholic and nonalcoholic populations. , 1994, Journal of studies on alcohol.
[22] Kenneth J Sher,et al. The proposed 2/11 symptom algorithm for DSM-5 substance-use disorders is too lenient. , 2011, Psychological medicine.
[23] Sean P. Lane,et al. Determining optimal diagnostic criteria through chronicity and comorbidity , 2016, In Silico Pharmacology.
[24] José Antonio Lozano,et al. Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Timothy Trull,et al. Deriving alternative criteria sets for alcohol use disorders using statistical optimization: Results from the National Survey on Drug Use and Health. , 2019, Experimental and clinical psychopharmacology.
[26] K. Bucholz,et al. DSM-5 criteria for substance use disorders: recommendations and rationale. , 2013, The American journal of psychiatry.
[27] A. Viera,et al. Understanding interobserver agreement: the kappa statistic. , 2005, Family medicine.
[28] Kenneth J Sher,et al. Truth or consequences in the diagnosis of substance use disorders. , 2014, Addiction.
[29] Tammy Chung,et al. How should we revise diagnostic criteria for substance use disorders in the DSM-V? , 2008, Journal of abnormal psychology.
[30] B. Grant,et al. A multidimensional assessment of the validity and utility of alcohol use disorder severity as determined by item response theory models. , 2010, Drug and alcohol dependence.
[31] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[32] B. Grant,et al. Epidemiology of DSM-5 Alcohol Use Disorder: Results From the National Epidemiologic Survey on Alcohol and Related Conditions III. , 2015, JAMA psychiatry.
[33] K. Berridge,et al. Liking, wanting, and the incentive-sensitization theory of addiction. , 2016, The American psychologist.
[34] B. Grant,et al. The role of cannabis use within a dimensional approach to cannabis use disorders. , 2009, Drug and alcohol dependence.
[35] John von Neumann,et al. Theory Of Self Reproducing Automata , 1967 .
[36] L Nadeau,et al. Gender differences in alcohol consumption and adverse drinking consequences: cross-cultural patterns. , 2000, Addiction.
[37] B. Grant,et al. The role of alcohol consumption in future classifications of alcohol use disorders. , 2007, Drug and alcohol dependence.
[38] C. Duff,et al. A ‘standard joint’? The role of quantity in predicting cannabis-related problems , 2012 .
[39] B. Grant,et al. The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. , 2003, Drug and alcohol dependence.
[40] Paul Appelbaum,et al. A data-driven method for identifying shorter symptom criteria sets: the case for DSM-5 alcohol use disorder , 2018, Psychological Medicine.