Medicaldiagnosis is a complex process that involves patient’s history,physical examination, and laboratory test used the disease iscategorized. It involves the doctor labeling the patient andclassifying his or her illness depending on the symptoms, patienthistory or what the doctor has observed during physical examination.In some cases, the doctor can use the symptoms, patient history orphysical examination to identify the disease and determine apreferred treatment or may recommend further investigation in thelaboratory or by a specialist. Pattern recognition is a diagnosismodel where the doctor identifies the illness instantly after lookingat a patient (Hung, 2012). For example, it is possible to diagnoseDown’s syndrome by looking at a patient. However, some tests can beperformed to confirm the hypothesis.
Thereare several ways through which pattern recognition can lead tocorrect diagnosis of a disease. Pattern recognition provides thedoctor with a hypothesis that need to be tested. Physicalexaminations of the patient are guided by the illness categoryidentified by the doctor instantly. The doctor is also likely to askthe patient questions related to the hypothesis. It also narrows downthe diagnostic tests that the doctor is likely to recommend (Lam &Smeltzer, 2013, Meyer-Bäse & Schmid, 2014). However, patternrecognition by the patient can also act as a lead to diagnosis of adisease. The description and presentation of the signs and symptomsby a patient is influenced by his understanding and experiences. Somepatient arrive at the doctor’s office with a tentative diagnosisthat is based on their past experiences and knowledge. Nonetheless,it is important to note that some of the signs and symptoms ofdiseases are likely to overlap (Umoh, 2012). Pattern recognition istherefore more appropriate if used as a lead to final diagnosis.
Hung,K. (2012). Pattern Recognition A Medical Pattern Recognition:Applying an Improved Intuitionist Fuzzy Cross-Entropy Approach toMedical Diagnosis. Advancesin Fuzzy Systems.Article ID 863549, http://dx.doi.org/10.1155/2012/863549.
Lam,C. & Smeltzer, S. (2013). Patterns of symptom recognition,interpretation, and response in heart failure patients: anintegrative review. JCardiovasc Nurs.28(4):348-59. doi: 10.1097/JCN.0b013e3182531cf7.
UmohU. et al (2012). Design of Pattern Recognition System for theDiagnosis of Gonorrhea Disease. InternationalJournal of Scientific & Technology Research1(5), 74-80.
Meyer-Bäse,A. & Schmid, V. (2014). Pattern recognition and signal analysisin medical imaging. Oxford, UK : Academic Press.