Letters Revolutionising disease prevention Erroneous data and drug industry bias can impair machine learning algorithms BMJ 2019; 367 doi: https://doi.org/10.1136/bmj.l6042 (Published 18 October 2019) Cite this as: BMJ 2019;367:l6042 Article Related content Metrics Responses Peer review Related articles Analysis How precision medicine and screening with big data could increase overdiagnosis Published: 13 September 2019; BMJ 366 doi:10.1136/bmj.l5270 See more Introductory Address Prov Med Surg J October 03, 1840, s1-1 (1) 1-4; DOI: https://doi.org/10.1136/bmj.s1-1.1.1 Report of the Meeting of the Eastern Branch of the Provincial Association at Bury St. Edmond's Prov Med Surg J October 03, 1840, s1-1 (1) 10-13; DOI: https://doi.org/10.1136/bmj.s1-1.1.10 Mr. Warburton's Bill for the Regulation of the Medical Profession Prov Med Surg J October 03, 1840, s1-1 (1) 13-15; DOI: https://doi.org/10.1136/bmj.s1-1.1.13 An Atlas of Plates, illustrative of the Principles and Practice of Obstetric Medicine and Surgery, with descriptive Letterpress Prov Med Surg J October 03, 1840, s1-1 (1) 4; DOI: https://doi.org/10.1136/bmj.s1-1.1.4 A Practical Treatise on the Diseases peculiar to Women, illustrated by Cases, &c Prov Med Surg J October 03, 1840, s1-1 (1) 4-5; DOI: https://doi.org/10.1136/bmj.s1-1.1.4-a
