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For: Passos IC, Ballester PL, Barros RC, Librenza-Garcia D, Mwangi B, Birmaher B, Brietzke E, Hajek T, Lopez Jaramillo C, Mansur RB, Alda M, Haarman BCM, Isometsa E, Lam RW, McIntyre RS, Minuzzi L, Kessing LV, Yatham LN, Duffy A, Kapczinski F. Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force. Bipolar Disord 2019;21:582-94. [PMID: 31465619 DOI: 10.1111/bdi.12828] [Cited by in Crossref: 27] [Cited by in F6Publishing: 29] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Gomes MAS, Kovaleski JL, Pagani RN, da Silva VL. Machine learning applied to healthcare: a conceptual review. J Med Eng Technol 2022;:1-9. [PMID: 35678368 DOI: 10.1080/03091902.2022.2080885] [Reference Citation Analysis]
2 Ramos-lima LF, Waikamp V, Oliveira-watanabe T, Recamonde-mendoza M, Teche SP, Mello MF, Mello AF, Freitas LHM. Identifying posttraumatic stress disorder staging from clinical and sociodemographic features: a proof-of-concept study using a machine learning approach. Psychiatry Research 2022. [DOI: 10.1016/j.psychres.2022.114489] [Reference Citation Analysis]
3 Colombo F, Calesella F, Mazza MG, Melloni EMT, Morelli MJ, Scotti GM, Benedetti F, Bollettini I, Vai B. Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis. Neurosci Biobehav Rev 2022;:104552. [PMID: 35120970 DOI: 10.1016/j.neubiorev.2022.104552] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Zhang Y, Ramanathan L, Maheswari M. A hybrid approach for risk analysis in e-business integrating big data analytics and artificial intelligence. Ann Oper Res. [DOI: 10.1007/s10479-021-04412-6] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Rotenberg LS, Borges-Júnior RG, Lafer B, Salvini R, Dias RDS. Exploring machine learning to predict depressive relapses of bipolar disorder patients. J Affect Disord 2021;295:681-7. [PMID: 34509784 DOI: 10.1016/j.jad.2021.08.127] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
6 van der Markt A, Klumpers UMH, Dols A, Boks MP, Vreeker A, Beekman ATF, Kupka RW. Clinical profiles of subsequent stages in bipolar disorder: Results from the Dutch Bipolar Cohort. Bipolar Disord 2021. [PMID: 34821429 DOI: 10.1111/bdi.13159] [Reference Citation Analysis]
7 Jan Z, Ai-Ansari N, Mousa O, Abd-Alrazaq A, Ahmed A, Alam T, Househ M. The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review. J Med Internet Res 2021;23:e29749. [PMID: 34806996 DOI: 10.2196/29749] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
8 Rema J, Novais F, Telles-Correia D. Precision Psychiatry: Machine learning as a tool to find new pharmacological targets. Curr Top Med Chem 2021. [PMID: 34607546 DOI: 10.2174/1568026621666211004095917] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Sánchez-Morla EM, Fuentes JL, Miguel-Jiménez JM, Boquete L, Ortiz M, Orduna E, Satue M, Garcia-Martin E. Automatic Diagnosis of Bipolar Disorder Using Optical Coherence Tomography Data and Artificial Intelligence. J Pers Med 2021;11:803. [PMID: 34442447 DOI: 10.3390/jpm11080803] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
10 Ponsonby AL. Reflection on modern methods: building causal evidence within high-dimensional molecular epidemiological studies of moderate size. Int J Epidemiol 2021;50:1016-29. [PMID: 33594409 DOI: 10.1093/ije/dyaa174] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
11 Vieta E, Angst J. Bipolar disorder cohort studies: Crucial, but underfunded. European Neuropsychopharmacology 2021;47:31-3. [DOI: 10.1016/j.euroneuro.2021.03.008] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Diaz AP, Fernandes BS, Quevedo J, Sanches M, Soares JC. Treatment-resistant bipolar depression: concepts and challenges for novel interventions. Braz J Psychiatry 2021:S1516-44462021005016202. [PMID: 34037084 DOI: 10.1590/1516-4446-2020-1627] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Tremain H, Fletcher K, Murray G. Babies, bathwater, and bipolar disorder: Is it time to call curtains on staging? Bipolar Disord 2021;23:515-6. [PMID: 33780093 DOI: 10.1111/bdi.13077] [Reference Citation Analysis]
14 Passos IC, Ballester P, Rabelo-da-Ponte FD, Kapczinski F. Precision Psychiatry: The Future Is Now. Can J Psychiatry 2021;:706743721998044. [PMID: 33757313 DOI: 10.1177/0706743721998044] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
15 Brodeur S, Terrisse H, Pouchon A, Godin O, Aouizerate B, Aubin V, Bellivier F, Belzeaux R, Bougerol T, Courtet P, Dubertret C, Gard S, Haffen E, Henry C, Leboyer M, Olié E, Roux P, Samalin L, Schwan R, Etain B, Bosson JL, Polosan M. Pharmacological treatment profiles in the FACE-BD cohort: An unsupervised machine learning study, applied to a nationwide bipolar cohort. J Affect Disord 2021;286:309-19. [PMID: 33770539 DOI: 10.1016/j.jad.2021.02.036] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 Lee EE, Torous J, De Choudhury M, Depp CA, Graham SA, Kim HC, Paulus MP, Krystal JH, Jeste DV. Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom. Biol Psychiatry Cogn Neurosci Neuroimaging 2021;6:856-64. [PMID: 33571718 DOI: 10.1016/j.bpsc.2021.02.001] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
17 Machado CDS, Ballester PL, Cao B, Mwangi B, Caldieraro MA, Kapczinski F, Passos IC. Prediction of suicide attempts in a prospective cohort study with a nationally representative sample of the US population. Psychol Med 2021;:1-12. [PMID: 33441206 DOI: 10.1017/S0033291720004997] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
18 Grillault Laroche D, Etain B, Severus E, Scott J, Bellivier F; ISBD-IGSLI Joint Task Force on Lithium Treatment. Socio-demographic and clinical predictors of outcome to long-term treatment with lithium in bipolar disorders: a systematic review of the contemporary literature and recommendations from the ISBD/IGSLI Task Force on treatment with lithium. Int J Bipolar Disord 2020;8:40. [PMID: 33330966 DOI: 10.1186/s40345-020-00203-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
19 Suen PJC, Goerigk S, Razza LB, Padberg F, Passos IC, Brunoni AR. Classification of unipolar and bipolar depression using machine learning techniques. Psychiatry Res 2021;295:113624. [PMID: 33307387 DOI: 10.1016/j.psychres.2020.113624] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
20 Rabelo-da-Ponte FD, Feiten JG, Mwangi B, Barros FC, Wehrmeister FC, Menezes AM, Kapczinski F, Passos IC, Kunz M. Early identification of bipolar disorder among young adults - a 22-year community birth cohort. Acta Psychiatr Scand 2020;142:476-85. [PMID: 32936930 DOI: 10.1111/acps.13233] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
21 Scaini G, Valvassori SS, Diaz AP, Lima CN, Benevenuto D, Fries GR, Quevedo J. Neurobiology of bipolar disorders: a review of genetic components, signaling pathways, biochemical changes, and neuroimaging findings. Braz J Psychiatry 2020;42:536-51. [PMID: 32267339 DOI: 10.1590/1516-4446-2019-0732] [Cited by in Crossref: 6] [Cited by in F6Publishing: 13] [Article Influence: 3.0] [Reference Citation Analysis]
22 Diaz AP, Bauer IE, Sanches M, Soares JC. Neuroanatomic and Functional Neuroimaging Findings. Curr Top Behav Neurosci 2021;48:173-96. [PMID: 33040316 DOI: 10.1007/7854_2020_174] [Reference Citation Analysis]
23 Muneer A. The Discovery of Clinically Applicable Biomarkers for Bipolar Disorder: A Review of Candidate and Proteomic Approaches. Chonnam Med J 2020;56:166-79. [PMID: 33014755 DOI: 10.4068/cmj.2020.56.3.166] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
24 Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, Mcdonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐souza MG, Tronchin G, Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, Mar Bonnin C, Brambilla P, Canales‐rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐jaramillo C, Machado‐vieira R, Macintosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐zapata JA, Poletti S, Polosan M, Pomarol‐clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA; ENIGMA Bipolar Disorder Working Group. What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp. [DOI: 10.1002/hbm.25098] [Cited by in Crossref: 8] [Cited by in F6Publishing: 15] [Article Influence: 4.0] [Reference Citation Analysis]
25 Agne NA, Tisott CG, Ballester P, Passos IC, Ferrão YA. Predictors of suicide attempt in patients with obsessive-compulsive disorder: an exploratory study with machine learning analysis. Psychol Med . [DOI: 10.1017/s0033291720002329] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 5.5] [Reference Citation Analysis]
26 Tamura JK, Mcintyre RS. Current and Future Vistas in Bipolar Disorder. Curr Behav Neurosci Rep 2020;7:68-75. [DOI: 10.1007/s40473-020-00202-9] [Reference Citation Analysis]
27 Claude LA, Houenou J, Duchesnay E, Favre P. Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions. Bipolar Disord 2020;22:334-55. [PMID: 32108409 DOI: 10.1111/bdi.12895] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
28 Borrione L, Bellini H, Razza LB, Avila AG, Baeken C, Brem AK, Busatto G, Carvalho AF, Chekroud A, Daskalakis ZJ, Deng ZD, Downar J, Gattaz W, Loo C, Lotufo PA, Martin MDGM, McClintock SM, O'Shea J, Padberg F, Passos IC, Salum GA, Vanderhasselt MA, Fraguas R, Benseñor I, Valiengo L, Brunoni AR. Precision non-implantable neuromodulation therapies: a perspective for the depressed brain. Braz J Psychiatry 2020;42:403-19. [PMID: 32187319 DOI: 10.1590/1516-4446-2019-0741] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
29 Ramos-Lima LF, Waikamp V, Antonelli-Salgado T, Passos IC, Freitas LHM. The use of machine learning techniques in trauma-related disorders: a systematic review. J Psychiatr Res 2020;121:159-72. [PMID: 31830722 DOI: 10.1016/j.jpsychires.2019.12.001] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 6.7] [Reference Citation Analysis]