Machine Learning does not presently generalize, but this algorithm is specific and clinically relevant: The Temporal Order and Effects of Co-Morbid Disease: Evidence and Education

[David Richard Leslie Cawthorpe]

Big data algorithms are becoming more sophisticated and have contributed to the development of the World Psychiatric Association (WPA: https://2019.wcp-congress.com/) Morbidity Section.
Evidence follows:
A 16-Year Cohort Analysis of Autism Spectrum Disorder-Associated Morbidity in a Pediatric Population
https://www.frontiersin.org/articles/10.3389/fpsyt.2018.00635/full

Temporal order of Cancers and Mental Disorders in an Adult Population
https://www.cambridge.org/core/journals/bjpsych-open/article/temporal-order-of-cancers-and-mental-disorders-in-an-adult-population/82866C9B4A76984889719BC848E9259D
Temporal Co-morbidity of Mental Disorder and Ulcerative Colitis
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315378/

Education:
Learn to apply this strategy to your own project or data
https://www.amazon.com/gp/product/1790408164/
Learn to measure co-morbidity and its effects in clinical practice (a new paradigm in medical education):
https://www.amazon.com/gp/product/1980880417/

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Best regards
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