Hipotez Oluşturma

Özet

Hipotez oluşturma, bilimsel araştırmanın temel bir parçasıdır; çünkü araştırma amacını belirler ve araştırma metodolojisi ve sürecinin aşamalarını şekillendirir. Bu makale, hipotez kavramının felsefi kökenlerinden başlayarak modern tıp araştırmalarındaki en son biçimine kadar olan gelişimini açıklamaktadır. Test edilebilirlik, teorik temellendirme, yanlışlanabilirlik ve bulguların yorumlanması gibi temel özellikler, hipotezlerin yapay zeka, büyük veri ve hassas tıp uygulamaları tarafından nasıl dönüştürüldüğünü analiz etmek amacıyla ele alınmaktadır. Hipotez oluşturma bölümünde son gelişmeler ışığında, güvenilir ve anlamlı bilimsel bilgi üretmek için hipotez tabanlı bir yaklaşımın neden hala önemli olduğunu anlatmayı amaçlamaktadır.

Hypothesis formation is a fundamental part of scientific research, as it determines the research objective and shapes the stages of the research methodology and process. This article explains the development of the hypothesis concept, starting from its philosophical origins and extending to its most advanced form in modern medical research. Key characteristics such as testability, theoretical grounding, falsifiability, and interpretation of findings are discussed to analyze how hypotheses are being transformed by artificial intelligence, big data, and precision medicine applications. Based on these recent developments, this research aims to understand why a hypothesis-based approach is still important for producing reliable and meaningful scientific information.

Referanslar

Creswell JW, Creswell JD. Research design: qualitative, quantitative, and mixed methods approaches. 6th ed. Thousand Oaks (CA): Sage Publications; 2023.

Sackett DL, Straus SE, Richardson WS, Rosenberg W, Haynes RB. Evidence-based medicine: how to practice and teach EBM. 2nd ed. Edinburgh: Churchill Livingstone; 2019.

Fisher RA. Statistical methods and scientific inference. 4th ed. Oxford: Oxford University Press; 2017.

Cohen J. Statistical power analysis for the behavioral sciences. Updated ed. New York: Routledge; 20

Popper KR. The logic of scientific discovery. New ed. London: Routledge; 2002.

Bernard C. An introduction to the study of experimental medicine. New York: Dover Publications; 2015. (Original work published 1865)

Topol EJ. Deep medicine: how artificial intelligence can make healthcare human again. New York: Basic Books; 2019.

Beam AL, Kohane IS. Big Data and Machine Learning in Health Care. JAMA. 2018 Apr 3;319(13):1317-1318. doi: 10.1001/jama.2017.18391

Neyman J, Pearson ES. The testing of statistical hypotheses in relation to probabilities a priori. Mathematical Proceedings of the Cambridge Philosophical Society. 1933;29(4):492-510. doi:10.1017/S030500410001152

Higgins JPT, Thomas J, Chandler J, et al., editors. Cochrane handbook for systematic reviews of interventions. 2nd ed. Chichester: John Wiley & Sons; 2019.

Guyton AC, Hall JE. Textbook of medical physiology. 14th ed. Philadelphia: Elsevier; 2021.

Ioannidis JP. Why Most Clinical Research Is Not Useful. PLoS Med. 2016 Jun 21;13(6):e1002049. doi: 10.1371/journal.pmed.1002049

Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 4th ed. Philadelphia: Wolters Kluwer; 2021.

Hernán MA, Robins JM. Causal inference: what if. Boca Raton (FL): Chapman & Hall/CRC; 2020.

Loscalzo J, Barabási AL. Systems biology and precision medicine. Circ Res. 2021;128(7):1027–1040. doi:10.1161/CIRCRESAHA.121.318313

Collins FS, Varmus H. A new initiative on precision medicine. N Engl J Med. 2015 Feb 26;372(9):793-5. Epub 2015 Jan 30. doi: 10.1056/NEJMp1500523

Beauchamp T, Childress J. Principles of Biomedical Ethics: Marking Its Fortieth Anniversary. Am J Bioeth. 2019 Nov;19(11):9-12. doi: 10.1080/15265161.2019.166

Gelecek

17 Şubat 2026

Lisans

Lisans