Literature DB >> 34080891

Evaluating the Machine Learning Literature: A Primer and User's Guide for Psychiatrists.

Adrienne Grzenda1, Nina V Kraguljac1, William M McDonald1, Charles Nemeroff1, John Torous1, Jonathan E Alpert1, Carolyn I Rodriguez1, Alik S Widge1.   

Abstract

"Mr. A," a 24-year-old man, presents for evaluation of worsening depression. He describes a history of depression since adolescence, although he notes that he suffered a troubled childhood, including emotional neglect. He believes a recent breakup and having been denied a promotion precipitated this episode. "I'm sleeping all the time, and my body feels heavy," he adds. He also reports increased appetite, weight gain, and "urges to cut, which I have not done in years." However, he remains social and actively involved in several hobbies. He discontinued bupropion and escitalopram in the past because of "terrible headaches and irritability." Initially, you consider starting lamotrigine. However, your office recently implemented a clinical decision support system that recommends a trial of phenelzine. The patient's symptoms remit entirely on the medication suggested by the system. Curious as to how the system decided on this treatment, you download several papers on its development.

Entities:  

Keywords:  Academic Psychiatry; Computers; Machine Learning

Year:  2021        PMID: 34080891     DOI: 10.1176/appi.ajp.2020.20030250

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  7 in total

1.  Machine Learning Algorithm-Based Prediction Model for the Augmented Use of Clozapine with Electroconvulsive Therapy in Patients with Schizophrenia.

Authors:  Hong Seok Oh; Bong Ju Lee; Yu Sang Lee; Ok-Jin Jang; Yukako Nakagami; Toshiya Inada; Takahiro A Kato; Shigenobu Kanba; Mian-Yoon Chong; Sih-Ku Lin; Tianmei Si; Yu-Tao Xiang; Ajit Avasthi; Sandeep Grover; Roy Abraham Kallivayalil; Pornjira Pariwatcharakul; Kok Yoon Chee; Andi J Tanra; Golam Rabbani; Afzal Javed; Samudra Kathiarachchi; Win Aung Myint; Tran Van Cuong; Yuxi Wang; Kang Sim; Norman Sartorius; Chay-Hoon Tan; Naotaka Shinfuku; Yong Chon Park; Seon-Cheol Park
Journal:  J Pers Med       Date:  2022-06-14

2.  Racial and Ethnic Biases in Computational Approaches to Psychopathology.

Authors:  Kasia Hitczenko; Henry R Cowan; Matthew Goldrick; Vijay A Mittal
Journal:  Schizophr Bull       Date:  2022-03-01       Impact factor: 9.306

3.  Physiologically informed neuromodulation.

Authors:  Karen Wendt; Timothy Denison; Gaynor Foster; Lothar Krinke; Alix Thomson; Saydra Wilson; Alik S Widge
Journal:  J Neurol Sci       Date:  2021-12-28       Impact factor: 3.181

4.  Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches.

Authors:  Zhifei Li; Roger S McIntyre; Syeda F Husain; Roger Ho; Bach X Tran; Hien Thu Nguyen; Shuenn-Chiang Soo; Cyrus S Ho; Nanguang Chen
Journal:  EBioMedicine       Date:  2022-04-28       Impact factor: 11.205

Review 5.  Strategies and foundations for scientific discovery in longitudinal studies of bipolar disorder.

Authors:  Melvin G McInnis; Ole A Andreassen; Ana C Andreazza; Uri Alon; Michael Berk; Teri Brister; Katherine E Burdick; Donghong Cui; Mark Frye; Marion Leboyer; Philip B Mitchell; Kathleen Merikangas; Andrew A Nierenberg; John I Nurnberger; Daniel Pham; Eduard Vieta; Lakshmi N Yatham; Allan H Young
Journal:  Bipolar Disord       Date:  2022-03-18       Impact factor: 5.345

6.  Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies.

Authors:  Chelsea Chandler; Peter W Foltz; Brita Elvevåg
Journal:  Schizophr Bull       Date:  2022-09-01       Impact factor: 7.348

7.  Natural language processing in clinical neuroscience and psychiatry: A review.

Authors:  Claudio Crema; Giuseppe Attardi; Daniele Sartiano; Alberto Redolfi
Journal:  Front Psychiatry       Date:  2022-09-14       Impact factor: 5.435

  7 in total

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